Millimeter Wave Frontend for Integrated Sensing and Communication System Transceiver on Edge

Return loss is a core indicator of module connectivity performance in integrated communication systems. Reflections from the modulation device can cause power fluctuations, leading to excessive amplitude noise affecting the system's signal-to-noise ratio. To solve the problem of high return loss in existing terahertz amplitude modulation techniques, this paper proposes a near-zero reflection terahertz modulator based on an electrical length reconfiguration cascade. The ON-OFF effect of the modulator is achieved through the cascade's electrical length reconstruction, and the reflections are effectively suppressed from the ON state to the OFF state. Experimental results demonstrate that the proposed modulator achieves a broadband low-reflection effect in the 170–260 GHz band, with a Voltage Standing Wave Ratio (VSWR) of less than 1.5 over a bandwidth of 60 GHz and an optimal VSWR of 1.1. It has the potential to support high-speed response as well as the large-capacity, high-rate data transmission. Accordingly, the proposed modulator offers a promising solution for the design of high-performance terahertz modulators and multi-channel integrated terahertz communication systems.

Queuing theory and Markov chain analysis plays vital role in analyzing real-life problems. It is applied to wired network, wireless network and mobile communication to analyze the packet traffic in packet switched network. In this simulation and analysis, integrated communication system such as voice and data is simulated with different queue size for voice calls with different arrival and service rate and its results are analyzed to study the impact of buffering of voice and data calls for the proposed integrated wired network using Queuing theory and Markov chain analysis. We also propose to optimize the system characteristics in an attempt to provide better Quality of Service (QoS) for systems with integrated voice and data calls. The proposed models have two traffic flow namely voice calls (real-time traffic like audio) and data calls (data traffic like FTP). A single channel is assigned for voice and data calls. The incoming voice and data calls are queued when the channel is busy. Voice calls are delay-sensitive therefore priority is assigned to Constant Bit Rate (CBR) traffic voice request. For such systems, it is important to analyze the impact of buffering the voice calls as well as data calls for various mean arrival rates and mean service times for voice and data call requests. The impact of buffering the voice calls with different queue size, mean arrival rates and service rate are analyzed. These results of dedicated integrated voice and data communication system can be used for simulating any type of wired network. The minimum buffer or jitter required for both the traffic is calculated using Packet Delivery Fraction (PDF).

Integrated communication and control systems (ICCS) consist of several distributed control processes which share a network medium. Performance of several feedback control loops in the ICCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of the control components which share a network medium. In this study, a scheduling algorithm of determining data sampling times is developed using the window concept, where the sampled data from the control components in the ICCS share a limited number of windows, so that the performance requirement of each control loop is satisfied as well as the utilization of network resources is considerably increased. The scheduling algorithm is verified by discrete-event/continuous-time simulation model of an example of ICCS.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

In this letter, we consider the secure multi-user downlink communication scheme against eavesdroppers in Integrated Sensing and Communication (ISAC) systems, where the ISAC base station (BS) transmits ISAC waveform to serve communication users and sense targets, and artificial noise (AN) is employed to guarantee the transmission secrecy. In particular, we study the robust ISAC beamforming design under the assumption of imperfect legitimate users’ and eavesdroppers’ channel state information (CSI). Specifically, we aim to minimize the squared error between designed and desired beampatterns under the probabilistic outage constraints concerning the secrecy performance as well as power budget constraint. To deal with the non-convex problem, we utilize the semidefinite relaxation (SDR) technique and Bernstein-type inequality to convert the problem to a tractable form. Numerical results show that the proposed robust beamforming design algorithm is able to approach the performance under perfect CSI, and illustrates the trade-off between sensing and secrecy performances.

In the ever-evolving landscape of modern technology, integrating communication and sensing systems has become increasingly essential for a wide range of applications, from military and defense to autonomous vehicles and beyond. The integration offers a convergence of capabilities that enhances operational efficiency and provides adaptability in complex environments. In this paper, we develop, in simulation and experiment, an integrated communication and sensing system, exploring the cutting-edge utilization of spread spectrum and radio-over-fiber (RoF) photonic technologies. RoF technology inherits the benefits of optical fibers, which include low attenuation and longer reach distance compared to other media. First, we consider the integration of communication and sensing functions using a spread spectrum–binary phase-shift keying waveform. In this integrated system, the sensing function is performed using a radar system. The performance of the proposed system is evaluated in terms of the peak-to-sidelobe ratio of the radar correlator output and the bit error rate for the communication system. The results are obtained through extensive MATLAB simulations. Next, we consider the realization of the proposed integrated communication and sensing system using photonics technology. This phase commences with the utilization of specialized photonics-based software for extensive simulations at different fiber lengths, which is an essential foundational step toward the practical implementation of the proposed system using photonics. Lab experiments are also presented to validate the simulation results.

The integrated radar and communication system is promising in the next generation wireless communication networks. However, its performance is confined by the limited energy. In order to overcome this, a wireless powered integrated radar and communication system is proposed. An energy minimization problem is formulated subject to constraints on the radar and communication performances. The energy beamforming and radar-communication waveform are jointly optimized to minimize the consumption energy. The challenging non-convex problem is solved by using semidefinite relaxation and auxiliary variable methods. It is proved that the optimal solution can be obtained. Simulation results demonstrate that our proposed optimal design outperforms the benchmark scheme.

Integrated sensing and communication (ISAC), which allows individual radar and communication systems to share the same spectrum bands, is an emerging and promising technique for alleviating spectrum congestion problems. In this paper, we investigate how to exploit the inherent interference from strong radar signals to ensure the physical layer security (PLS) for the considered multi-user multi-input single-output (MU-MISO) communication and colocated multi-input multi-output (MIMO) radar coexistence system. In particular, with known eavesdroppers' channel state information (CSI), we propose to jointly design the transmit beamformers of communication and radar systems to minimize the maximum eavesdropping signal-to-interference-plus-noise ratio (SINR) on multiple legitimate users, while guaranteeing the communication quality-of-service (QoS) of legitimate transmissions, the requirement of radar detection performance, and the transmit power constraints of both radar and communication systems. When eavesdroppers' CSI is unavailable, we develop a joint artificial noise (AN)-aided transmit beamforming design scheme, which utilizes residual available power to generate AN for disrupting malicious receptions as well as satisfying the requirements of both legitimate transmissions and radar target detection. Extensive simulations verify the advantages of the proposed joint beamforming designs for ISAC systems on secure transmissions and the effectiveness of the developed algorithms.

Integrated communication: workflow enhancement in the digital diagnostic radiology department

Terahertz (THz) communications are envisioned as a key technology of next-generation wireless systems due to its ultra-broad bandwidth. One step forward, THz integrated sensing and communication (ISAC) system can realize both unprecedented data rates and millimeter-level accurate sensing. However, THz ISAC meets stringent challenges on waveform and receiver design to fully exploit the peculiarities of THz channel and transceivers. In this work, a sensing integrated discrete Fourier transform spread orthogonal frequency division multiplexing (SI-DFT-s-OFDM) system is proposed for THz ISAC, which can provide lower peak-to-average power ratio than OFDM and is adaptive to flexible delay spread of the THz channel. Without compromising communication capabilities, the proposed SI-DFT-s-OFDM realizes millimeter-level range estimation and decimeter-per-second-level velocity estimation accuracy. In addition, the bit error rate (BER) performance is improved by 5 dB gain at the 10°3 BER level compared with OFDM. At the receiver, a deep learning based ISAC receiver with two neural networks is developed to recover transmitted data and estimate target range and velocity, while mitigating the imperfections and non-linearities of THz systems. Extensive simulation results demonstrate that the proposed deep learning methods can realize mutually enhanced performance for communication and sensing, and is robust against Doppler effects, phase noise and multi-target estimation.

Advances in the technology of complex control systems demand high-speed and reliable communications between the individual components and subsystems for decision making and control. This can be accomplished by integrated communication and control systems which use asynchronous time-division-multiplexed networks. Unfortunately, these networks introduce randomly varying distributed delays as a result of time-division multiplexing. A predictor-controller algorithm has been developed with the objective of mitigating the detrimental effects of the network-induced delays that are distributed between the sensor(s), controller and actuator(s) within a control loop. This paper presents the implementation and verification of the above delay compensation algorithm. Performance of the delay compensator has been experimentally verified on an IEEE 802.4 network testbed for velocity control of a d.c. servomotor.

This paper presents an integrated communication and control system for a multi-link active catheter. Links in the active catheter are connected with joints made of three SMA (shape memory alloy) actuators. The communication and control function units are distributed over multiple links and three common lead wires are used between the links and the outside controller. The links are addressed and the SMA actuators are driven by the circuit in the links. A MOS transistor with large channel width is used as switch for the SMA actuator. The circuit is realized by a standard CMOS technology. It measures 1.8 mm wide by 3.0 mm long. Link addressing and actuator switching functions of the fabricated chip have been successfully demonstrated. The minimum access time for addressing and actuating per single link was .

The people of Karo Regency are suing the Karo Regional Government (Pemda) for not providing an integrated communication and information system in the management of the Mount Sinabung disaster. The purpose of this study was to find an integrated model of communication and information in disaster management in Karo Regency. This research uses a qualitative approach with a single instrumental case study method to solve the problem of demands in the Karo community by finding a new model of disaster communication through website implementation. The object of research is a model of integrated communication and information. The subjects of this study were the Head of the Regional Disaster Management Agency (BPBD) and the team, the Head of the Communications and Informatics Service and the team. Data collection techniques through in-depth interviews, observation, and Focus Group Discussion (FGD). Data analysis techniques are carried out by displaying data, reducing relevant data, making interpretations, and concluding research results. The results of this study found an integrated model of communication and information in disaster management in Karo Regency. This research contributes in the form of recommendations for integrated communication and information models in disaster management in Karo Regency through the website. The new findings theoretically add critical thinking elements in the Source-Message-Channel-Receiver-Effective Theory to deal with disaster problems. Keywords: Critical Thinking, Disaster Communication, Integrated Communication Model, Mount Sinabung.

Diagnostic Tools for Electronic Integrated Communication Systems in Air Transportation Systems The paper has been intended to present research/testing tools used in the Air Force Institute of Technology to build integrated communication systems and test operation thereof, as far as both devices that compose the system and the applied software are concerned. Particular attention has been paid to the so-called integration station (built under the Mi-8, Mi-17, Mi-24 modernisation project), intended to activate communication systems integrated on the basis of digital data buses (MIL-1553B). Also, the mobile servicing and control set ZDZSŁ-1 to service and diagnose these systems has been discussed in details. Such equipment has allowed AFIT to gain the-state-of-the-art capabilities presented by western companies in the field of integrating new communication devices/systems, the already accomplished modernisation of the W-3PL helicopter ("Głuszec"/"Capercaillie") and a project of such a system for the TS-11F "Iskra" ("Spark") being perfect examples. Some selected tasks performed with this testing station engaged have been discussed. Also, problems arising while activating and testing the developed software to integrate communication devices/systems (including digitally controlled radio stations of the RF-5800H and XM-6013P types, and communication control panels of the PSŁ-1 type have been given consideration in the scope of the software functionality and reliability. Presented are also additional monitoring and measuring systems used to test this software, just to mention acoustic generators as well as special and navigation signals testers.

This demo addressed the need for immersive and digitized evaluation of future integrated and joint communication systems within the scope of multimodal Intelligent Transportation Systems (ITS). We present a model-based, deterministic ray-tracing simulation tool aiming to enable adaptable, technology-and hardware-independent as well as scenario-specific testing of radio interconnection, localization and sensing capabilities.

This paper proposes an integrated communication and localization system scheme using orthogonal frequency division multiplexing (OFDM) chirp waveform. A new and efficient generation method is proposed to produce the OFDM-chirp waveform. The OFDM-chirp waveform is quantitatively compared with conventional OFDM waveform with respect to complementary cumulative distribution function of the peak-to-average power ratio. The OFDM-chirp waveform is analyzed by the ambiguity function together with its matched filtering performance. Furthermore, we implemented the OFDM-chirp waveform for integrated communication and localization with the universal software radio peripheral platform. Experimental results show that it outperforms conventional OFDM waveform for integrated communication and localization applications.