High Levels Of Interference Research Articles

Spatial pattern analysis of land cover changes using Fragstat in Kendal Delta, Kendal Regency, Central Java

The northern coastal plains of Kendal Regency are deltaic landform whose processes are strongly influenced by fluvial (fluvial dominated deltas). The area of land in the Kendal Delta area continues to experience changes due to regional developments that occur as Kendal Regency is designated as one of the national activity center in terms of strategic and industrial economies. Various developments can trigger various land conversions so that studies are needed to identify changes occurring. The purpose of this study is to identify land cover patterns based on geomorphological aspects and analyzed land cover changes based on landscape structures in Delta Kendal in 1989 and 2021. Changes in the Kendal Delta landscape structure were analyzed using landscape metrics approach. The results showed that the land cover pattern in the Kendal Delta from 1989 to 2021 has a change. Based on the calculation from landscape metrics, land cover in Delta Kendal that has a relatively high patch density tends to have a high level of interference, and vice versa. In general, there is a relationship if there is an increase in the value of PD and ED, there will be a decrease in the value of MNN and IJI.

IoT Network Design Using Open-Source LoRa Coverage Emulator

Many wireless Internet-of-Things applications require extended battery life ranging from a few months to a few years. Such applications have motivated the recent developments in low power wide area networks, including the rise of Long Range (LoRa) technology. LoRa has a simple modulation scheme designed for extended converge, low battery consumption, and resistance to high interference levels. Thus LoRa is primarily targeted for shared spectrum applications where interference levels are typically higher than controlled spectrum applications where a single operator usually has a dominant control on the quality of service. As a result, it is of paramount importance to carefully design IoT networks while taking into account the impending impacts of interference and propagation environments. This paper presents a novel LoRa network design framework that utilizes a developed open-source emulator to provide a reliable network coverage estimation. The framework is tested in one of the largest open-access IoT network designs in Australia, which enabled the deployment of 294 sensors and 48 gateways. Both the framework and the emulator are implemented using MATLAB scripting, enabling integration with built-in and external radio planning tools. The framework leverages real interference measurements captured using software defined radio that records the spectrotemporal behavior of the existing traffic in the shared band.

Detection Algorithm for Cellular Synchronization Signals in Airborne Applications

Cellular to air communication is critical for the booming aerial package delivery and transportation business. Detecting cellular signals in airborne applications is challenging because it requires receiving and processing waveforms that are subject to significantly more interference than those experienced in terrestrial settings. This paper highlights and tackles the complexity of 4G Long Term Evolution (LTE) signal synchronization in high altitude applications, e.g., cell access onboard an aircraft. Specifically, we design a novel cell detector that operates efficiently under high interference levels found in airborne applications, maintains a constant false alarm rate using an optimized threshold implementation for Zadoff Chu sequences, and monitors multiple towers with different time delays simultaneously. We validate our cell detector through simulation and experimentation. Lastly, the cell detector is used to estimate the interference in live waveforms taken from an aircraft at 2 to 2.5 km altitude and velocities of 200–400 km/h. Our cell detection model can be adapted to support 5G New Radio (NR) synchronization signals as NR deploys aerial support in the future. The threshold implementation to handle correlation spurs can be applied directly to other Zadoff Chu based signals such as random access signals found in both LTE and NR.

Design and Experimental Validation of an Augmented Reality System With Wireless Integration for Context Aware Enhanced Show Experience in Auditoriums

The development of multiple cultural and social related activities, such as shows related with the performing arts, conferences or presentations rely on facilities such as auditoriums, theatres and conference sites, which are progressively including multiple technological features in order to enhance user experience. There are still however situations in which user experience is limited owing to lack of environment adaption, such as people with disabilities. In this sense, the adoption of Context Aware paradigms within auditoriums can provide adequate functionalities in order to comply with specific needs. This work is aimed at demonstrating the feasibility in enhancing user experience (e.g., improving the autonomy of disabled people) within auditorium and theatre environments, by means of an Augmented Reality (AR) device (HoloLens smart glasses) with wireless system integration. To carry out the demonstration, different elements to build AR applications are described and tested. First, an intensive measurement campaign was performed in a real auditorium in the city of Pamplona (Baluarte Congress Center) in order to evaluate the feasibility of using Wi-Fi enabled AR devices in a complex wireless propagation scenario. The results show that these environments exhibit high levels of interference, owing to the co-existence and non-coordinated operation of multiple wireless communication systems, such as on site and temporary Wi-Fi access points, wireless microphones or communications systems used by performers, staff and users. Deterministic wireless channel estimation based in volumetric 3D Ray Launching have been obtained for the complete scenario volume, in order to assess quality of service metrics. For illustration purposes, a user-friendly application to help hearing impaired people was developed and its main features were tested in the auditorium. Such an application provides users with a 3D virtual space to visualize useful multimedia content like subtitles or additional information about the show, as well as an integrated call button.

COMPARATIVE ANALYSIS OF FILTRATION METHODS IN EXPERIMENTAL STUDY OF DYNAMIC PROPERTIES OF OBJECTS

The condition for successful application at the local level of control of industrial controllers and programmable logic controllers is the presence of integrated software for automatic tuning of the parameters of the control algorithm. The dynamic properties of an object are most often determined by the results of an active experiment directly on the object through an identification procedure based on pre-processed data.
 The main technologies of time series filtering are analyzed and the system of indicators for their comparison is selected. A series of simulation experiments to obtain overclocking characteristics with different degrees of addition of additive barriers to entry and exit are planned and conducted. Simple engineering algorithms of exponential, median, moving average simple and weighted and other window filters are investigated for the efficiency of smoothing in the mode of off-line and on-line processing of the obtained data on the indicators of relative root mean square and integral mean deviation from the baseline. methods.
 Based on the results of the research, conclusions are drawn about the real effectiveness of on-line filtering, recommendations for their practical use on the hardware platforms of local controls and the low level of smoothing of off-line methods in a limited experimental sample. The directions of further researches in the direction of application of more difficult filtering algorithms for signals with a high level of interference are established.

Focus on Weaknesses or Strengths? Determining Factors for an Inclusive and Relational Management in Public Community Social Service Organizations

This article, which is result of a research and development (R&D) project financed by the Spanish administration, studies the difficulties in managing social inclusion programs in Social Service (SS) Centers located in areas with high rates of exclusion in Andalusia (Spain). The research follows a qualitative methodology, based on observation, semi-open interviews (SOI), and focus groups (FG) aimed at the different actors in four Social Service Centers. Three dimensions are addressed: normative, functional, and perceived. The main results are four groups of incident factors: the mismatch between the expectations of non-professional actors (politicians, etc.) and those of technicians; the knowledge management of implemented dynamics; the position of the SS in local action networks; and the professional–client relationship. We concluded that, although these programs should be managed in an inclusive context, they are conditioned by scenarios with little possibility of social activation and a high level of interference and additional demands. Aspects that generate a great deal of organizational pressure divert professional practices to social assistance work.

Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm

Robust estimation of the number, location, and activity of multiple correlated brain sources has long been a challenging task in electromagnetic brain imaging from M/EEG data, one that is significantly impacted by interference from spontaneous brain activity, sensor noise, and other sources of artifacts. Recently, we introduced the Champagne algorithm, a novel Bayesian inference algorithm that has shown tremendous success in M/EEG source reconstruction. Inherent to Champagne and most other related Bayesian reconstruction algorithms is the assumption that the noise covariance in sensor data can be estimated from “baseline” or “control” measurements. However, in many scenarios, such baseline data is not available, or is unreliable, and it is unclear how best to estimate the noise covariance. In this technical note, we propose several robust methods to estimate the contributions to sensors from noise arising from outside the brain without the need for additional baseline measurements. The incorporation of these methods for diagonal noise covariance estimation improves the robust reconstruction of complex brain source activity under high levels of noise and interference, while maintaining the performance features of Champagne. Specifically, we show that the resulting algorithm, Champagne with noise learning, is quite robust to initialization and is computationally efficient. In simulations, performance of the proposed noise learning algorithm is consistently superior to Champagne without noise learning. We also demonstrate that, even without the use of any baseline data, Champagne with noise learning is able to reconstruct complex brain activity with just a few trials or even a single trial, demonstrating significant improvements in source reconstruction for electromagnetic brain imaging.

Resource Allocation for Cooperative Transmission in Optical Wireless Cellular Networks With Illumination Requirements

Visible light communication (VLC) often suffers from line-of-sight path blockages and high levels of inter-cell interference. Thus, the analysis and design of cooperation techniques become crucial to address these key impairments. This paper studies the performance of different resource allocation schemes that are suitable for multi-cell cooperative transmission when tri- and tetra-chromatic light-emitting diodes (LEDs) and optical orthogonal frequency-division multiple access are utilized. Firstly, guidelines are derived for maintaining the same spatial distribution of the signal-to-interference-plus-noise ratio (SINR) in every sector of the multi-cell environment in case of stand-alone (non-cooperative) and cooperative transmission. Secondly, the possible resource allocation configurations for both stand-alone and cooperative transmission modes are identified for different LED types and available orthogonal resources (i.e., frequency sub-bands per color and sectors per cell). Finally, the data rate gain of the multiple resource allocation configurations are also analyzed, while verifying the illumination constraints. The obtained results confirm that the proper design of cooperative transmission configurations will be of paramount importance to provide reliable wireless link in ultra-dense VLC deployments.

Selecting grounding points to reduce the interference level of the signal of high-impedance measuring channel

The study was carried out (2020) to reduce the effect of electromagnetic interference generated by a device for the formation of temperature effects based on Peltier element on a plant biopotential meter. Four variants of equipment grounding circuits are considered in the absence of a separate grounding bus for power equipment; graphs of biopotential signals are given. The type of interference that the device for the formation of temperature effects induces on the biopotential measurement channel is shown. The control unit case for the temperature-controlled stage based on Peltier element and the power cable shield for connecting Peltier element to the control unit must be grounded at a separate point from the biopotential meter. Biopotential meter electrodes should be grounded as far as possible from the control unit case and at a separate point from the grounding of the plate of the temperature-controlled stage. Recommendations are given for the grounding of high impedance input measuring devices and the power equipment emitting powerful inductive interference and causing interference in the grounding bus located in the same laboratory room, in the absence of separate grounding for power equipment. To reduce interference to an acceptable level, in addition to the selection of the grounding point, filtering is required. If the grounding point is selected incorrectly, a signal with a high level of interference is present at the filter output. The application of the proposed recommendations for grounding a device for the formation of a temperature effect based on Peltier element and a biopotential meter makes it possible to assess the response of a plant placed on the temperature-controlled stage to a temperature effect and not complicate programmed filtering of the signal received by the biopotential meter.

The effect of government 5G policies on telecommunication operators’ firm value: Evidence from China

To lead the world's fifth-generation mobile communication networks (5G) market, China introduced several policies to support 5G industry development that will impact telecommunication operators, the main implementers in this industry. Thus, this study examines the impact of the government's 5G policy announcements on telecommunication operators' firm value in China, where the state exerts a strong influence on industry development. We find that government policy announcement in general affects telecommunication operators' stock returns negatively, and when the government announces policies with a higher level of interference, the decline in firm value is more pronounced. To understand the comprehensive impact of 5G technology on telecommunication operators, we also examine the effect of institution-driven corporate technology R&D and investment activities on firm value. We find that the firms' 5G activities also decrease their firm value, and this effect is more significant than government policy announcements. These results imply that the market has a negative evaluation of the introduction of 5G technology due to its immaturity and uncertainty. This study provides a basis for understanding the market's views on 5G technology and development policies.

Real-world patient-reported outcomes of women receiving initial endocrine-based therapy for HR+/HER2\u2212 advanced breast cancer in five European countries

BackgroundEndocrine therapy (ET)-based regimens are the mainstay of treatment for patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2−) advanced breast cancer. With the introduction of new treatment classes, it is important to examine patient symptoms and health-related quality of life (HRQoL) at the start of this changing therapeutic landscape. This real-world study describes the patient-reported outcomes (PROs) of women with HR+/HER2− advanced breast cancer receiving ET-based regimens who were naïve to systemic treatment in the advanced setting across five European countries (EU5).MethodsData were collected between March and July 2017 from surveyed oncologists and their patients at a single time point using the multinational Adelphi Advanced Breast Cancer Disease Specific Programme™. Patients completed PRO questionnaires on HRQoL (EORTC QLQ-C30), pain severity and interference, and work and activity impairment. A multiple linear regression model explored factors associated with HRQoL.ResultsAcross EU5, 226 physicians provided data on 781 women with HR+/HER2− advanced breast cancer taking their first ET-based regimen for advanced disease, of whom 252 provided PRO data. This subset had a mean age of 67.1 years, 94% were postmenopausal, 89% were diagnosed with advanced breast cancer at initial presentation, 79% had stage IV disease (66% of these patients had bone metastases and 38% had visceral metastases, including 18% with liver metastases) and 77% were on endocrine-only therapy as their initial treatment for advanced disease. The mean EORTC QLQ-C30 global health score (50.9) was worse than the reference value for patients with advanced breast cancer (60.2). Fatigue, pain, and insomnia were the most severe symptoms, and mean functioning scores were also worse than reference values. “Worst pain” and “pain interference” were moderate/severe for 42 and 80% of patients. Mean activity impairment was 44%, and greater activity impairment was associated with poorer HRQoL.ConclusionsDespite receiving first-line ET-based regimens for advanced disease, these women had a poor HRQoL and high levels of symptoms, pain, pain interference and activity impairment. New treatments that maintain a stable disease state and reduce activity impairment may have a positive effect on the HRQoL of those living with advanced breast cancer.

Analog-to-digital data processing tools in the construction industry and in the transportation sector

In many applications in the construction industry and in the transportation sector, it is necessary to convert the original analog information into digital form and transmit this information for further computer processing using the appropriate interface. The question of the correct choice of conversion means (analog-to-digital converters, ADC) and transmission means (interfaces of peripheral devices) is very important because the characteristics of these devices largely determine the quality of the system. Meanwhile, in this area there is a fairly wide range of modern solutions, new trends are observed, which should be taken into account by system developers. Often systems are operated in conditions of high levels of industrial noise and interference. In a number of applications, it is required to process the signals of sensors (for example, building condition sensors) with very high accuracy with moderate processing speed requirements. The choice of a solution is significantly affected by the fact that modern building condition monitoring systems, automated control systems for technical processes in construction, and other systems are built on the basis of microcontrollers. In this study, the above issues are considered comprehensively, on the basis of this, possible solutions are proposed, practical recommendations are given.

Neural capacity limits on the responses to memory interference during working memory in young and old adults.

Advancing age affects the recruitment of task related neural resources thereby changing the efficiency, capacity and use of compensatory processes. With advancing age, brain activity may therefore increase within a region or be reorganized to utilize different brain regions. The different brain regions may be exclusive to old adults or accessible to young and old alike, but non-optimal. Interference during verbal working memory information retention recruits parahippocampal brain regions in young adults similar to brain activity recruited by old adults in the absence of external interference. The current work tests the hypothesis that old adults recruit neural resources to combat increases in age-related intrinsic noise that young adults recruit during high levels of interference during information retention. This experiment administered a verbal delayed item recognition task with low and high levels of an interfering addition task during information maintenance. Despite strong age-related behavioral effects, brain imaging results demonstrated no significant interaction effects between age group and the interference or memory tasks. Significant effects were only found for the interaction between interference level and memory load within the inferior frontal cortex, supplementary motor cortex and posterior supramarginal regions. Results demonstrate that neural resources were shared when facing increasing memory load and interference. The combined cognitive demands resulted in brain activity reaching a neural capacity limit which was similar for both age groups and which brain activation did not increase above. Despite significant behavioral differences the neural capacity limited the detection of age group differences in brain activity.

An Exploration of the needs of a Cardiac Rehabilitation Population using a Subjective Quality-of-Life Measure

Context: The aim of this study was to profile a cardiac rehabilitation population in the West of Ireland and establish Subjective Quality of Life (SQoL), using The Schedule for Evaluation of Individual Quality of Life-Direct Weighting (SEIQoL-DW), a validated subjective QoL measure. Bothersome symptoms (SB) and Symptom Interference in SQoL (SBIQoL) were also assessed using a using a modified SEIQoL-DW. Objectives: QoL is a difficult concept to define, therefore the medical profession often premise QoL on health and illness. The focus of this study was to explore the QoL needs of a cardiac population, with a view to informing the development of a newly formed cardiac rehabilitation support group. The SEIQoL-DW was developed to overcome the limitations of quantitative questionnaires, as it is based on the individual’s personal view of life and its quality. Methods: SQoL, symptoms and SBIQoL, of 22 individuals, who had suffered a cardiac event were explored. SEIQoL-DW is a semi-structured interview, enabling the individual to convert their perspectives into scientific values. QoL areas of importance to patients are called ‘cues’. A modified SEIQoL-DW was used to assess SB and SBIQoL. Data were analysed using both quantitative analysis and qualitative descriptive analysis. Findings: Participants highlighted a range of QoL cues; findings from this study showed that 45% of participants did not rate ‘health’ in the first five QoL cues. A significant number of participants experienced symptoms; a medium negative correlation was found between symptom interference and QoL, rho = -0.353, with high levels of symptom interference associated with low levels of QoL. Conclusions: The range of QoL cues and bothersome symptoms identified in this study had implications for the development of the group, with participants eager to participate and talk candidly about their needs. SEIQoL-DW proved to be an acceptable, reliable and valid technique for measuring both individual QoL, SB and SBIQoL, taking greater consideration of individual perspectives compared with traditional measurement approaches. The significance of nominated symptoms and SBIQoL warrants further attention, especially if these symptoms are reversible.

Characterization of 3.3-kV Reverse-Blocking SiC Modules for Use in Current-Source Zero-Voltage-Switching Converters

Silicon carbide (SiC) MOSFETs with ratings of 3.3 to 15 kV represent a dramatic improvement over available silicon devices, enabling the realization of medium-voltage converters in demanding applications such as solid-state transformers. Typical voltage-source converter configurations realize significant reduction in switching loss with SiC devices, but high dv/dt of 30–50 kV/ μ s generates high levels of electromagnetic interference (EMI) and displacement currents. Current-source based zero-voltage switching (CS-ZVS) converters such as the soft-switching solid-state transformer (S4T), dramatically reduce switching loss using ZVS, thus realizing both controlled dv/dt and low EMI. CS-ZVS converters require reverse blocking (RB) modules that are realized using series connection of a diode and a MOSFET. However, no data are available from manufacturers or from literature on RB module characterization under ZVS conditions. This article presents detailed characterization results and model extraction for a 3.3 kV 45 A and a 1.7 kV 10 A SiC RB module, under both hard switching and ZVS modes. A novel double-pulse testbed is designed and built for this characterization of RB devices under both hard switching and ZVS conditions. Significantly, it is shown that when the RB modules are used in CS-ZVS converters, the dynamic voltage sharing between the RB modules in a phase leg and within the RB module (between the diode and the switch) results in a unique voltage stress. Modulation strategies to address this unique voltage stress are proposed and verified through experiment results, using a S4T prototype rated at 1.5 kV, 10 kVA .

Development of methods for identification of information­controlling signals of unmanned aircraft complex operator

Methods for verifying and identifying the operator by the features of the formation of biometric features of a speech signal in control systems of unmanned aerial systems are proposed. A method has been developed for the effective width of the spectrum of a speech signal, which allows identification and verification of the operator of an unmanned aerial vehicle based on an analysis of the informative components of voice prints under conditions of a high level of interference of various origins. A method has been developed for the highest informational weight of the fundamental tone, which is based on the use of the most informative components of the spectral representation of the prints of a speech signal. The first method allows to identify the operator of an unmanned aerial vehicle by the informative components of the spectral representation of the fingerprint of a speech signal under conditions of a high level of interference. High indicators, which are achieved by using this method, are obtained due to the uniqueness of the selected feature space, which retain their characteristics even with a fairly high level of interference. The second method provides speaker identification of an unmanned aerial vehicle by a specific space of unique voice features. The frequencies of the fundamental tone and overtones were chosen as the basic features. Such an approach to solving the identification problem provides a high probability of determining the operator with the existing rather high level of interference and reduces the processing time of information in comparison with the effective spectrum width method. The creation of control methods and models for unmanned aerial systems provides an increase in the level of noise immunity and safety of control systems from interventions by an unauthorized operator. Using operator identification methods allows to create a system for restricting access to the aircraft control process and thereby ensure the continuity of the operation of the information management system for unmanned aerial systems

Performance Analysis of ZCC-Optical-CDMA over SMF for Fiber-To-The-Home Access Network

To provide a sustainable fiber-to-the-home (FTTH), several multiplexing techniques have been developed for this purpose. The correlation features are the main obstacle behind the network performance limitation, which imposes to a high level of multiple access interference. However, the development of multiplexing techniques helps to overcome these limitations, such as optical-code division multiple access (Optical-CDMA). Optical-CDMA is considered as one of the most powerful solutions for FTTH. This paper aims to enhance FTTH network performance by applying Zero cross-correlation code (ZCC) with Optical-CDMA with maximum link single-mode fiber. In the simulation, the system performance is demonstrated in terms of bit error rate, Q-Factor and eye diagram measurements.

Socioeconomic status and self-other processing: socioeconomic status predicts interference in the automatic imitation task.

High-status individuals have been found to be less attuned to the behaviour of others in the social environment, at least in the absence of any specific instructions to pay attention to them. Previous work using neural measures has shown that socioeconomic status (SES) influences the degree to which people are attuned to the actions of others. In particular, individuals from low-SES backgrounds were found to exhibit more mu-suppression, which has been suggested to reflect greater levels of sensorimotor resonance, compared to their high-SES counterparts. However, it is unclear whether such effects on brain activity translate into behaviour. Here, we examined differences in automatic imitation between high-SES and low-SES individuals. The automatic imitation task involves participants making actions in response to a numerical cue, while simultaneously being exposed to an action that is incongruent or congruent with the cued response. Patterns of interference effect reveal the extent to which the congruence of the observed action affects performance of the cued response. Interference thus indexes self-other processing, where high levels of interference suggest an increased susceptibility to the actions of others. Our results show that individuals from low-SES backgrounds exhibit more interference than individuals from high-SES backgrounds. Regression analyses revealed a negative relationship between SES and the degree of interference. Overall, our findings suggest that differences in SES are linked to differences in self-other processing, which could be relevant for broader behavioural tendencies exhibited by individuals at varying levels of a social structure.

A longitudinal analysis of phenotypic and symptom characteristics associated with inter-individual variability in employment interference in patients with breast cancer.

A breast cancer diagnosis has a substantial economic impact. Study aims were to evaluate for inter-individual differences in cancer's level of interference with employment and identify phenotypic and symptom characteristics associated with higher levels of interference. Patients (n= 387) were enrolled prior to breast cancer surgery and followed for 12months. Interference with employment was measured using a 0 (no problem) to 10 (severe problem) numeric rating scale. Hierarchical linear modeling (HLM) was used to evaluate for inter-individual differences in trajectories of employment interference and characteristics associated with employment interference at enrollment and over 12months. Patients' mean age was 55.0 (±11.7) years and the majority underwent breast conservation surgery (80.6%). Mean employment interference score was 3.2 (±3.7). Unconditional model for employment interference demonstrated a decreasing linear trend (-.076/month). Younger age, lower income, higher pain intensity, and having an axillary lymph node dissection were associated with higher pre-surgical interference scores. Having a sentinel lymph node biopsy was associated with ongoing employment interference scores. Higher sleep disturbance scores were associated with both initial and ongoing employment interference scores. Receipt of chemotherapy, use of complementary or alternative therapies, and re-excision or mastectomy following surgery were significant time varying covariates. This study is the first to use HLM to describe inter-individual differences in the trajectories of cancer's interference with employment and associated factors prior to and for 12months following breast cancer surgery. Patients with the identified risk factors warrant ongoing assessments of employment interference and appropriate referrals.

Adaptive Multi-Channels Allocation in LoRa Networks

In this paper, we consider an IoT dedicated network corresponding to a non licensed LoRa Low Power Wide Area Network. The LoRa network operates in the unlicensed 868 MHz band within a total bandwidth of 1 MHz divided into 8 orthogonal channels of 125 kHz each. Despite the high level of interference, this network offers long range communications in the order of 2 to 5 km in urban areas and 10 to 30 km in rural areas. To efficiently mitigate this high level of interference, LoRa network essentially relies on a Chirp Spread Spectrum (CSS) modulation and on repetition diversity mechanisms. The LoRa CSS modulation spreads the signal within a band of 125 kHz using 6 possible spreading factors (from 7 to 12) to target data rates (starting from 5 kbps for the closest node to 300 bps for the furthest ones). The repetition diversity mechanisms enable the data recovery when the transmission is subject to bad channel conditions or/and high interference levels. Although the CSS modulation protects edge-cell’s devices from the high level of interference induced by nodes in the proximity of the gateway, it fails to protect nodes at the edge of a given SF region and several trials are required to recover the packet. In this paper, we propose an adaptive multi-channels allocation policy that attributes multiple adjacent channels of 125 kHz for nodes situated at the edge of SF zones. We study the impact of this adaptive sub-band allocation on the gateways’ intensities, the rate distribution and the power consumption. Our results are based on a statistical characterization of the interference in the network as well as the outage probability in a typical cell.