Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness

Nguyen, Trung Thanh; Elbassioni, Khaled; Luong, Nguyen Cong; Niyato, Dusit; Kim, Dong In

doi:10.1109/tvt.2022.3153612

Cited by 11 publications

(5 citation statements)

References 34 publications

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“…Furthermore, spreading the pilot over multiple provides increased against noise effects, which further enhances the accuracy of our channel estimation method. The discrete time representation of the transmitted OTFS signal can be expressed using equation (5), where it can be seen that the time domain samples are nothing but the M times, N -point IDFT values of the symbols in the time domain. Assuming that the delay-Doppler symbols are identically distributed, this property gives OTFS an advantage over OFDM and OCDM systems that use M × N -point IDFT for signal generation, resulting in lower PAPR.…”

Section: Channel Estimationmentioning

confidence: 99%

“…Therefore, JSAC decreases system size and cost while increasing resource efficiency. These benefits turn JSAC into one of the most promising technologies for contemporary applications in both military and civilian applications, such as flying wireless mesh networks, airborne systems, ground-based systems [5], augmented reality, digital twins, and unmanned aerial vehicles (UAVs) [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel OTFS-Chirp Waveform for Low-Complexity Multi-User Joint Sensing and Communication

Zegrar,

Boudjelal,

Arslan

2024

Preprint

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Section: Channel Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel OTFS-Chirp Waveform for Low-Complexity Multi-User Joint Sensing and Communication

Zegrar,

Boudjelal,

Arslan

2024

Preprint

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“…Radar and communication integrated (RCI) system design has attracted much attention in recent years. Firstly, spectrum congestion becomes a core problem for the development of future 6G networks due to the proliferation of linked devices and users [1,2]. Due to the significant advantages in spectrum management, hardware cost and signal processing, RCI system design becomes an effective solution.…”

Section: Introductionmentioning

confidence: 99%

Radar and communication integrated systems design based on deep neural networks

Liu

Cao

Mao

et al. 2023

IET Radar Sonar & Navi

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Due to the spectrum congestion in the future 6G networks and the dramatic increasing requirement for the equipment that can detect and communicate simultaneously, the design of bi‐static radar and communication integrated (RCI) system is receiving more and more attention. Orthogonal frequency division multiplexing (OFDM) is a commonly used waveform in bi‐static RCI system. There are two gaps in current research that need to be filled. First, high peak‐to‐average ratio (PAPR) of OFDM signal is less considered in the conventional bi‐static RCI system due to the difficulty in recovering in the receiver. Second, the target echo estimation depends on the reconstruction of the direct‐path communication (DPC) signal. To overcome these limitations, we firstly propose a deep learning (DL)‐based transceiver design for the bi‐static RCI systems. Specifically, we design a neural network (NN)‐based waveform designer (WDNN) to reduce the PAPR of the transmit waveform, an NN‐based signal separator (SSN) to directly separate the target echo and the DPC signal, and an NN‐based symbol recovery (SRN) to demodulate the symbols. By using the training data and channel realisations, these three networks are jointly trained offline to minimise the PAPR of the transmit waveform, the separation error of the target echo and DPC signals, and the bit error rate. Then, in the online deployment phase, the trained WDNN is used to modify the transmitted waveform, and the trained SSN and SRN are placed at the receiver to separate signal and demodulate symbol. Simulation results show that compared to the conventional method, the proposed scheme not only reduces the PAPR but also improves the estimation of target parameters and communication symbol.

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“…It has been shown that under the stochastic optimization framework, the learning algorithm can achieve non-saturated transmission rate at high signal-to-noise (SNR) regions with infinite block length. Furthermore, jamming signal was superimposed to common and private messages to maximize the minimum data rate among all users subject to the covertness constraint [14]. By using AN signal to effectively prevent adversary from detecting legitimate RSMA transmissions, up to three times the minimum data rate can be achieved over that of the NOMA scheme [14].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, jamming signal was superimposed to common and private messages to maximize the minimum data rate among all users subject to the covertness constraint [14]. By using AN signal to effectively prevent adversary from detecting legitimate RSMA transmissions, up to three times the minimum data rate can be achieved over that of the NOMA scheme [14].…”

Section: Introductionmentioning

confidence: 99%

Joint Hovering Height, Power, and Rate Optimization for Air-to-Ground UAV-RSMA Covert Communications

Chang

Chen

et al. 2023

Drones

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In this paper, we investigate covert communications for an unmanned aerial vehicle (UAV)-aided rate-splitting multiple access (RSMA) system in which the UAV transmits to the covert and public users separately while shielding covert transmissions from a warden. Under the RSMA principles, the messages of the covert and public users are converted to common and private streams for air-to-ground transmissions. Subject to the quality of service (QoS) requirements of the public user and covertness constraint of the UAV-aid RSMA (UAV-RSMA) system, the aim of covert communication design is to maximize the covert rate by jointly optimizing the transmit power allocation, common rate allocation, and UAV hovering height, which each contribute to the uncertainty of the warden’s binary decision and attempts to enhance communication performance. To address the non-convex covert rate maximization problem in addition to the highly coupled system parameters, we decouple the original problem into three subproblems of transmit power allocation, common rate allocation, and UAV hovering height. We derive the optimal solutions for each of the subproblems of the transmit power and rate allocations and formulate a signomial programming problem to tackle UAV hovering height optimization. The simulation results indicate the superior covert rate performance achieved by the proposed AO algorithm and demonstrate that the proposed UAV-RSMA scheme achieves a higher covert rate than the benchmark schemes.

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Access Management in Joint Sensing and Communication Systems: Efficiency Versus Fairness

Cited by 11 publications

References 34 publications

A Novel OTFS-Chirp Waveform for Low-Complexity Multi-User Joint Sensing and Communication

A Novel OTFS-Chirp Waveform for Low-Complexity Multi-User Joint Sensing and Communication

Radar and communication integrated systems design based on deep neural networks

Joint Hovering Height, Power, and Rate Optimization for Air-to-Ground UAV-RSMA Covert Communications

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