Broadband Communication Research Articles

Application of WiMAX technology in difficult geographical conditions: Perspectives for mountain environment

WiMAX (Worldwide Interoperability for Microwave Access) is a telecommunications technology designed to provide universal wireless communication over long distances for a wide range of devices (from workstations and notebook computers to mobile phones). It is based on IEEE 802.16 standard called Wireless MAN. The name “WiMAX” was coined by the WiMAX Forum, which was established in June 2001 to promote and develop WiMAX technology. The forum describes WiMAX as “a standards- based technology that provides high-speed wireless network access as an alternative to leased lines and DSL.” WiMAX allows you to access the wireless Internet at high speed with a wider coverage than Wi-Fi networks. This allows the technology to be used as “backbones”, a continuation of traditional DSL and leased lines, as well as local networks. As a result, this approach makes it possible to create high-speed networks that expand across cities. In recent years, the development of network technologies has led to a significant expansion of the list of possible ways of connecting personal computers to the network and the types of connections to the global Internet. From a server to a pocket computer, almost any personal device that has enough computing power to process text and graphic information is equipped with one or another network interface, from a modem to WiMAX. This article examines the application of WiMAX technology in mountainous conditions, and analyzes the technical solutions used to create a continuous and high-quality connection despite topographical and environmental challenges. The advantages of wireless communication technologies are shown in mountainous areas where the population is small and the infrastructure is limited. The article presents strategies for configuring WiMAX networks, installing base stations, and expanding network coverage. As a result, WiMAX is proving to be an effective solution for meeting broadband communication needs in mountain environments.

Enhancement on thermal management and mechanical properties of cellulose nanofiber films through synergistic filler construction and interface optimization

AbstractThis study is aimed at developing composite films with superior thermal management performance in an attempt to solve challenge rising from heat accumulation in modern high‐frequency broadband communication devices. To effectively address the interface thermal resistance (ITR) of graphene nanoplatelets (GNPs) in the composites, cobalt nanoparticles were coated onto edge‐oxidized graphene to in‐situ form a hybrid filler (EGO@Co), which was then uniformly incorporated into the carboxymethyl cellulose nanofiber (c‐CNF) matrix. A vacuum‐assisted filtration was employed to fabricate EGO@Co/c‐CNF thermally conductive multi‐layered composite films. In‐situ growth of heterogeneous structure filler Co helped to extend the thermal paths and optimize the heat transfer networks. The incorporation of edge oxidation was found to facilitate the strong hydrogen bonding interactions between filler and matrix, constructing an efficient three‐dimensional (3D) thermal conduction network, significantly enhancing both heat flux and stress transfer efficiency. After hot‐pressed, the EGO@Co40/c‐CNF films exhibited an outstanding thermal conductivity (λǁ ~ 28.4 W m−1 K−1 and λ⊥ ~ 1.1 W m−1 K−1) in addition to a high tensile strength. The optimization on the thermal filler construction and interface modification have proved to significantly enhance the microstructure and properties of the composite films, which helps to pave the way for practical opportunities in the application of novel thermally conductive materials in the TMMs fields.Highlights Cobalt nanoparticles enhanced thermal conductivity of composites. EGO strengthened filler‐matrix hydrogen bonding. Vacuum‐assisted filtration produced multi‐layered composite films. EGO@Co/c‐CNF films displayed high thermal conductivity. Thermal filler optimization boosted mechanical and thermal properties.

A Dijkstra Based Algorithm for Optimal Splitter Location in Passive Optical Local Area Network (POLAN)

Passive Optical Local Area Networks (POLANs) are integral to modern broadband communication systems, offering high bandwidth and immunity to electromagnetic interference. Designing an efficient POLAN requires careful consideration of splitter placement to minimize network costs. This paper presents an algorithmic approach using Dijkstra's algorithm and the Google Maps API to optimize splitter locations in a POLAN. By treating Optical Network Terminals (ONTs) as nodes in a graph and calculating walking distances between them, the algorithm identifies potential splitter locations that minimize fiber length. Using the Dijkstra's algorithm, the total fiber length used to connect every optical network unit is approximately 274km. Finally, a simulation of the full PON network was carried out and the BER and Q-Factor for each ONU was gotten. An average BER value of 1.8e-11 and Q-Factor value of 13.3 was gotten.

Design and analysis of a fabricated modified elliptical patch antenna with slots and partial ground plane techniques for UWB applications

This study presents a novel elliptical microstrip antenna (EMSA) design method for enhanced bandwidth. The proposed EMSA offers versatile polarization control, generating both linear and circular polarization. Wider impedance bandwidths compared to some other patch antennas make it suitable for broadband communication. Its compact size facilitates integration into space-constrained devices. Additionally, it provides polarization diversity for MIMO systems, reducing signal fading. The fabricated EMSA, operating at 7.05 GHz, achieves a simulated bandwidth of 5.7% and a measured bandwidth of 4.28%. It exhibits a return loss of -42 dB, 50 Ω impedance matching, 8.57 dB radiation gain, and a VSWR of 1.016. Two bandwidth enhancement techniques were investigated: reducing the ground plane size and incorporating slots within the patch. The partial ground plane achieved simulated and measured bandwidth improvements of 146% and 167%, respectively. The slotted patch yielded 160% and 180% improvements, respectively.

Hybrid Heuristic‐Based Invariable Step‐Size Zero‐Attracting Modified Normalized Least Mean Square for Efficient Channel Estimation in Broadband Wireless Communication System

ABSTRACTThe stability of the broadband channel estimation capabilities is provided by the normalized least mean square (NLMS) approaches. When compared to compression sensing‐based algorithms, the NLMS is very effective to perform in the channel estimation model, and also, the computational complexity of these algorithms is very low. But the important drawback of these algorithms is the intrinsic sparsity of broadband communication channels is not effectively utilized in these systems. The channel sparsity is exploited using invariable step‐size zero‐attracting NLMS algorithms in the adaptive sparse channel estimation techniques. The best trade‐off between the computational complexity and the cost function cannot be obtained, and the convergence rate is low in the ISS‐ZA‐NLMS, and a new algorithm is developed with the help of existing ISS‐ZA‐NLMS. The objective of this research work is to develop a novel channel estimation mechanism for broadband wireless communication systems using the enhanced NLMS method with the usage of a hybrid heuristic strategy. This work designs and develops an efficient channel estimation technique named as hybrid heuristic‐based invariable step‐size zero‐attracting modified NLMS for enhancing efficiency. The heuristic algorithms like rat swarm optimizer and red deer algorithm are fused together to get hybrid rat red deer swarm optimization for estimating the channels with higher efficiency. The main scope of the implemented scheme is to offer better performance regarding the mean square error (MSE) measures. The simulation analysis is made finally to estimate the performance of the investigated HH‐ISS‐ZA‐MNLMS with the comparison of conventional approaches.

An Applied Analysis of Securing 5G/6G Core Networks with Post-Quantum Key Encapsulation Methods

Fifth Generation (5G) cellular networks have been adopted worldwide since the rollout began around 2019. It brought with it many innovations and new services, such as Enhanced Mobile Broadband (eMBB), Ultra Reliable and Low-Latency Communications (URLLC), and Massive Internet of Things (mIoT). Furthermore, 5G introduced a more scalable approach to network operations using fully software-based Virtualized Network Functions (VNF) in Core Networks (CN) rather than the prior hardware-based approach. However, while this shift towards a fully software-based system design provides numerous significant benefits, such as increased interoperability, scalability, and cost-effectiveness, it also brings with it an increased cybersecurity risk. Security is crucial to maintaining trust between vendors, operators, and consumers. Cyberattacks are rapidly increasing in number and sophistication, and we are seeing a shift towards zero-trust approaches. This means that even communications between VNFs inside a 5G core must be scrutinized and hardened against attacks, especially with the advent of quantum computers. The National Institute of Standards and Technology (NIST), over the past 10 years, has led efforts to standardize post-quantum cryptography (PQC) to protect against quantum attacks. This paper covers a custom implementation of the open-source free5GC CN, to expand its HTTPS capabilities for VNFs by introducing PQC Key Encapsulation Methods (KEM) for Transport Layer Security (TLS) v1.3. This paper provides the details of this integration with a focus on the latency of different PQC KEMs in initial handshakes between VNFs, on packet size, and the implications in a 5G environment. This work also conducts a security comparison between the PQC-equipped free5GC and other open-source 5G CNs. The presented results indicate a negligible increase in UE connection setup duration and a small increase in connection setup data requirements, strongly indicating that PQC KEM’s benefits far outweigh any downsides when integrated into 5G and 6G core services. To the best of our knowledge, this is the first work incorporating PQC into an open-source 5G core. Furthermore, the results from this effort demonstrate that employing PQC ciphers for securing VNF communications results in only a negligible impact on latency and bandwidth usage, thus demonstrating significant benefits to 5G cybersecurity.

The Effect of Substrate Dielectric Constant and Thickness on Millimeter Wave Band Patch Antenna Performance

In last decade, the fifth generation of telecom network (5G) has been a new era as a result of fast-growing mobile industry. Unlike its predecessors, 5G will not only provide faster, better mobile broadband experience, but also broaden communication network with new services such as device-to-device communications or connecting IoT devices and users. For this purpose, 5G aims to achieve massive network capacity, ultra-low latency, higher data speed and greater network reliability. According to the report of ITU World Radiocommunication Conference 2019 (WRC-19), several new frequency bands between 20-70 GHz, were announced for allocation of 5G. Frequencies in the Ka-band (27-40 GHz) are particularly attractive due to their low atmospheric attenuation. At the specified frequency range i.e., millimeter wave band, antenna design for 5G applications is very crucial to provide high gain and efficiency as well as broadband communication which is indispensable for high-speed data traffic. At this point, Microstrip patch antennas, stand out amongst others because of their numerous attractive features. In this work, the effect of substrate dielectric constant and thickness to the Rectangular Microstrip Antenna (RMA) performance is examined for high frequency 5G applications. The RMA is designed to operate at 38 GHz and antenna performance has been analyzed according to various dielectric substrates, such as RT5880, RO3003, FR4, RT6006 and RT6010, considering different dielectric constants, thicknesses, and tangential losses. All designs and analyses have been accomplished by using ANSYS HFSS (High-Frequency Structure Simulator) and comparative results of the work are presented.

Determining Watterson model time delays using adaptive filters

Short radio waves have the property of being reflected from the ionosphere, which is why data transmission via HF communication channels can be carried out over many kilometers without additional transmitting devices. The use of broadband communication channels increases the data transmission speed, but at the same time leads to severe distortion of the received signal. Using the Watterson model, the HF communication channel was simulated in Matlab in the Simulink environment. For various possible values of the model parameters, least mean squares (LMS) equalizer algorithms were used to determine these coefficients.

A Survey of Phase Shifters for Microwave Phased Array Systems

ABSTRACTPhased Array Systems (PASs) are extensively used in radar and telecommunication systems for diverse applications, including military surveillance and wireless broadband communication. Besides, they are becoming increasingly indispensable in modern applications such as multi‐function phased array radars for weather monitoring and aircraft tracking or high‐throughput satellite systems, which aim to provide fast broadband connectivity in remote areas. Despite the numerous advantages of phased array systems with RF phase shift, including high signal‐to‐noise and signal‐to‐interference ratios, as well as low complexity, they present a few limitations, including high cost and large chip areas. The cost and size of PASs are mainly dependent on the RF phase shifters, which are essential to their operation. This article describes the different types of phase shifters (mechanical, ferromagnetic/magnetic, electromechanical, and electronic). It compares their performance metrics, highlighting that electronic phase shifters are the most common type used in modern PASs. In this regard, a comparative study of different subcategories of electronic phase shifters, such as the switched‐type, reflective‐type, loaded‐transmission line, and vector‐sum phase shifters, are explored along with their advantages, drawbacks and state‐of‐art techniques used to address their limitations. Therefore, this article may serve as a reference for research milestones on RF phase shifters.

Performance of advanced-deep learning algorithm for modeling and prediction of rain height over some selected locations in the tropics and sub-tropics zone for radio propagation applications

As demand for high-frequency broadband communication services keeps rising, rain-induced attenuation remains the predominant threat to radiowave propagation. Accurate prediction of attenuation requires continuous measurement and monitoring of rain-induced meteorological parameters, specifically rain rate and rain height, due to their spatio-temporal variations. Rain height is an upper dataset mostly computed from Zero- degree Isotherm Heights (ZDIH) measured by radar. This research proposes a novel approach for predicting rain height from earth surface data such as surface temperature, pressure, total cloud cover, dew point temperature, surface solar radiation, water vapor amount in the air, and humidity. This research investigates the relationship between meteorological surface data and rain height. Subsequently, six machine learning models were employed for predicting rain height using the ten years surface data as input variables. The models were applied to six sub-tropical (Polokwane, Pretoria. and Cape Town) and tropical (Sokoto, Akure, and Port Harcourt (PH)) stations in South Africa and Nigeria, respectively. Analysis of the results shows that the Gradient Boosting Algorithm (GBA) performed best with determination coefficients greater than 0.80 and RMSE less than 350 in all three stations in South Africa. However, all the models failed to produce good result for the Nigeria stations. The Random Forest model has the fairest performance metrics with r2 of 0.40, 0.46 and 0.46 in Sokoto, Akure and PH. respectively. GBA is recommended for predicting rain height in South Africa. The research outcome would assist radio engineers in improving the prediction of rain-induced attenuation and determining appropriate fade mitigation techniques.

Mobile-integrated SRR-based four-port MIMO antenna for broadband mm-wave 5G applications

ABSTRACT A low-profile, single-layered, compact-size, highly-isolated four-port MIMO antenna integrated within a 5 G smartphone has been proposed for a futuristic mm-wave broadband communication system. The proposed MIMO antenna configuration has been derived from a conventional inset-fed rectangular microstrip patch by introducing two parallel I-shaped slots on the patch surface for operating over a wide bandwidth of 4.91 GHz, that is, from 26.78 to 31.69 GHz. The antenna geometry has an overall dimension of 20.9 mm x 20.9 mm x 0.787 mm. The proposed configuration attained a maximum gain of 8.11 dBi and radiation efficiency of 90% at 28 GHz resonating frequency. The integration of the square-shaped SRR structure among closely packed antenna elements has significantly enhanced the overall isolation by 13 dB without compromising the antenna’s physical dimensions. The realisation of the S-parameters has also been carried out from the equivalent circuit model to agree with the results obtained from the electromagnetic simulation through CST software. The measured radiation patterns assured the minimal variation with simulated characteristics along the E and H planes. A comprehensive safety investigation of the proposed MIMO antenna has been carried out to assess power densities (<10 W/ m 2 ) across different usage modes, including data, reading, and talking in a mobile application perspective. Several diversity parameters, including ECC (<0.0001), DG (>9.999 dB), CCL (<0.12 bits/sec/Hz), MEG, and TARC, have also been evaluated as performance metrics. Furthermore, the linear transmission property of the proposed MIMO antenna has been validated through the variation of group delay (<0.5 ns) over operating frequency bands in the far-field region.

Implementation of a Highly Mobile UAVs Direction Finding Complex Using Virtual Magnetic Dipoles

Relevance. In the context of the development of modern broadband communication systems, the task of performing direction finding of signals using highly mobile direction finding systems (UAVs) is becoming especially urgent. They impose restrictions on the size of antenna elements and the distance between them, which leads to an increase in the mathematical error of the bearing. Problem statement. The paper sets the task of considering the possibility of increasing the direction finding accuracy of a highly mobile complex by using virtual magnetic dipole technology. A feature of this method is the minimization of distortions introduced by the carrier body into the characteristics of the measured field. To measure the field characteristics, as well as their partial components, vector antenna elements were used. Goal of the work is to study the characteristics of a radio direction finding complex using virtual magnetic dipole methods in conditions of distortions introduced by the carrier body. As an example, cases of direction finding of differently polarized waves, taking into account the influence of radomes of antenna elements, assessment of the maximum resolution accuracy, as well as noise stability are considered. The finite element method implemented in DS CST Studio Suite 2024 was used in the modeling. Result. During the research, a plane wave with different bearings fell on a UAV with a direction finding complex, which made it possible to carry out the most accurate research. The results of the work also include the creation of a model of a radio direction finding complex, which can be installed on a small UAV, providing high accuracy of wave direction finding in passive mode.The novelty of the method used lies in the application of methods for the formation of virtual magnetic dipoles based on the measured characteristics of the distorted electric field. New to this work are modeling cases that are associated with noise suppression, the influence of antenna element housings, as well as assessment of the maximum resolution accuracy.Practical significance of the work lies in the creation of a model of a radio location system based on vector antenna elements, which are used to measure the characteristics of the electromagnetic field with subsequent direction finding based on the magnetic field.

DTL-5G: Deep transfer learning-based DDoS attack detection in 5G and beyond networks

Network slicing is considered as a key enabler for 5G and beyond mobile networks for supporting a variety of new services, including enhanced mobile broadband, ultra-reliable and low-latency communication, and massive connectivity, on the same physical infrastructure. However, this technology increases the susceptibility of networks to cyber threats, particularly Distributed Denial-of-Service (DDoS) attacks. These attacks have the potential to cause service quality degradation by overloading network function(s) that are central to network slices to operate seamlessly. This calls for an Intrusion Detection System (IDS) as a shield against a wide array of DDoS attacks. In this regard, one promising solution would be the use of Deep Learning (DL) models for detecting possible DDoS attacks, an approach that has already made its way into the field given its manifest effectiveness. However, one particular challenge with DL models is that they require large volumes of labeled data for efficient training, which are not readily available in operational networks. A possible workaround is to resort to Transfer Learning (TL) approaches that can utilize the knowledge learned from prior training to a target domain with limited labeled data. This paper investigates how Deep Transfer Learning (DTL) based approaches can improve the detection of DDoS attacks in 5G networks by leveraging DL models, such as Bidirectional Long Short-Term Memory (BiLSTM), Convolutional Neural Network (CNN), Residual Network (ResNet), and Inception as base models. A comprehensive dataset generated in our 5G network slicing testbed serves as the source dataset for DTL, which includes both benign and different types of DDoS attack traffic. After learning features, patterns, and representations from the source dataset using initial training, we fine-tune base models using a variety of TL processes on a target DDoS attack dataset. The 5G-NIDD dataset, which has a sparse amount of annotated traffic pertaining to several DDoS attack generated in a real 5G network, is chosen as the target dataset. The results show that the proposed DTL models have performance improvements in detecting different types of DDoS attacks in 5G-NIDD dataset compared to the case when no TL is applied. According to the results, the BiLSTM and Inception models being identified as the top-performing models. BiLSTM indicates an improvement of 13.90%, 21.48%, and 12.22% in terms of accuracy, recall, and F1-score, respectively, whereas, Inception demonstrates an enhancement of 10.09% in terms of precision, compared to the models that do not adopt TL.

Miniaturized, Broadband, Circular Polarized Horn Antenna With Groove Gap Waveguide Technology

AbstractIn this study, a wideband circularly polarized (CP) H‐plane horn antenna based on Gap Waveguide (GW) technology in K‐band is presented. The proposed antenna consists of two unconnected metal planes. To produce broadband CP radiation, two main methods are utilized. First, two antipodal tapered plates (ATPs) are added in front of the horn. The ATPs are carefully designed for dissimilar polarization orientations. By this technique, the orthogonal electric fields can be prepared. Then, by embedding three metal square pins near the center of the aperture in both inner plates, the impedance bandwidth (BW) and BW of CP radiation of the proposed horn is entirely improved. Its BW for target |S11| &lt; −10 dB is 18–28 GHz. Also, the peak gain fluctuates between 11.5 and 13 dB. This antenna can provide a 3 dB polarization axial‐ratio BW of about 28.5% (20–26 GHz). Total radiation efficiency is higher than 94%. To verify the design, the proposed structure is manufactured and tested. The proposed horn antenna result has an appropriate agreement between measurement and simulation. Its miniaturized dimensions, easy and cheap fabrication, and broadband CP capability make it a proper volunteer for broadband communication systems.

Training a Graph Neural Network to solve URLLC and eMBB coexisting in 5G networks

Coexistence of enhanced mobile broadband and ultra-reliable low latency communication in 5G networks is a challenging problem due to the conflicting requirements. In this paper, we decompose the problem into eMBB and URLLC resource allocation phases. For the first phase we propose a heuristic algorithm with O(n) runtime and prove its efficiency and optimality under min–max fairness paradigm. For the URLLC resource allocation, the puncturing framework is adopted and a novel approach using the Graph Neural Networks is proposed to maximize eMBB data rates and fairness while minimizing URLLC outage probability. We show that the runtime of this GNN-based algorithm is also O(n). To train the GNN, an application-specific loss function is designed and empirically shown to be convergent. Our simulation results show that our proposed approach performs very well in terms of eMBB data rates, fairness, and URLLC outage probability in comparison to a number of thoughtfully chosen baselines. We also demonstrate that the proposed GNN is robust to changes in network topology and traffic volume. As we show our algorithm has O(n) runtime, it is fully practical for solving the resource allocation problem in the very short time spans that are required by 5G and future generation networks.

Adaptation and Performance Evaluation of Existing Power Line for Broadband Communication

Adaptation and Performance Evaluation of Existing Power Line for Broadband Communication

The role of governance in the digital transformation of healthcare: Results of a survey in the WHO Europe Region

Optimal governance is among the key facilitators of the digital transformation of health systems intended to improve access to healthcare, quality, safety, and efficiency, and to attain universal health coverage. This paper highlights the findings of a survey assessing the status of governance of digital health in the WHO European Region.The 2022 survey is a continuation of the 2015 WHO Global Survey on eHealth. The survey focused on national digital health governance, monitoring and evaluation of digital health interventions, and funding and investment in digital health and was conducted through April to October 2022. All 53 Member States of the WHO European Region participated in the survey.The results showed that 83% of the Member States reported having a national digital health strategy in place, and 79% of the Member States reported having a health information system strategy. Most of the priorities of the national digital health strategies were devoted to increasing the accessibility, quality, safety, and efficiency of the health systems, strengthening health information systems, and improving information sharing and interoperability of data. Measures to ensure equity in access to digital healthcare services were directed towards improving broadband connectivity, information and communication technology, digital literacy, and digital health promotion. Oversight for the implementation and operation of the national digital health strategies are mostly delegated to government agencies. The prime source of funding for digital health programs was public funding, though a combination of funding sources was also noted. This analysis revealed increasing adoption of national digital health strategies for access to healthcare and creation of digital health agencies and funding programs for digital health.

Efficient minimum blind area model for system and interference uncertainty

AbstractIn the anti‐interference of broadband communication radio, interference cancellation performance is seriously affected by the uncertainty of the working frequency selection of the communication system and the direction of hostile interference. The closed‐form solution of the interference cancellation weight value and the signal‐to‐interference noise ratio after the cancellation are derived and simplified to clarify the factors affecting interference cancellation quality. Then, the efficient blind area criterion is established for the low computational complexity in view of cancellation quality, which combines the radio communication index and anti‐interference demand index. Based on this criterion, the minimum blind area model is proposed for robust performance. The experimental results in the auxiliary antenna spacing optimisation are consistent with the theoretical analysis, verifying the effectiveness of the proposed model in dealing with uncertain communication frequency and interference direction. It is very promising in communication interference cancellation.

Proportional-fair uplink resource allocation with statistical QoS provisioning for RAN slicing

This paper investigates the uplink resource allocation issue for radio access network (RAN) slicing with a focus on three primary fifth generation (5G) use cases, namely ultra-reliable low-latency communications (uRLLC), enhanced mobile broadband (eMBB) and massive machine-type communications (mMTC). Most of the existing resource allocation schemes for RAN slicing were designed to address the use cases in downlink communications. However, these schemes are not applicable to the uplink RAN slicing, even though the primary use cases also entail stringent requirements in the uplink. To this end, we aim to develop a new, fairness-aware uplink resource allocation scheme for RAN slicing, catering to the three 5G use cases. Firstly, we formulate a new uplink resource allocation optimization problem that maximizes a sum logarithmic utility for ensuring proportional-fair effective capacity distribution and resource allocation among RAN slices, subject to the distinct quality of service (QoS) requirements of the uRLLC, eMBB and mMTC slices. Then, an efficient, hierarchical resource allocation framework is then proposed to solve the problem deterministically, whereby resource block assignment is first performed at the base station via a demand-oriented greedy algorithm, followed by power allocation using a bisection method at individual user equipment. Results show that the proposed scheme outperforms the baseline schemes with fairness and QoS provisioning performance gains of up to 44.3% and 19.17% respectively.

The system design of high-throughput miniature software-defined radio as a Ka/K-band communication payload for CubeSats

Ka-Band communication payloads, enabling high-rate data transmission, typically require higher power consumption, are mostly more suitable for larger satellites. This research focuses on the design of a miniature software-defined radio (MSDR) specifically tailored for Ka-band communication onboard CubeSats. The communication system aligns with the DVB-S2 standard for high transmission capacities, and incorporates the linear-step frequency modulation (LSFM) for robust transmission. Additionally, the modular software design can be easily adopted for future missions. The proposed Xilinx MPSoC-based SDR opens possibilities of broadband communication for CubeSat constellations in low Earth orbits (LEOs).