Joint Uplink Power Control, Downlink Beamforming, and Mode Selection for Secrecy Cell-Free Massive MIMO With Network-Assisted Full Duplexing

Xia, Xinjiang; Fan, Zhenqi; Luo, Wuyang; An, Lu; Wang, Dongming; Zhao, Xinsheng; You, Xiaohu

doi:10.1109/jsyst.2022.3188514

“…In the previous section, we outlined a systematic workflow aimed at addressing the optimization challenge of maximizing the secrecy rate, as defined by Equation (10), while adhering to constraints such as the limitation on maximum transmission power and Quality of Service (QoS) requirements, as illustrated in Figure 2. Notably, the Equation ( 10) poses a formidable challenge for direct resolution due to its inherent nonlinearity.…”

Section: Proposed Scheme For Secrecy Rate Maximization By Controlling...mentioning

confidence: 99%

“…Despite these advancements, the proposed technique may still be sensitive to the specific channel conditions and network configurations, raising challenges in achieving consistent improvements in all scenarios. The authors have proposed a joint optimization framework to enhance the security and spectral efficiency of these systems in Reference 10. The proposed framework may not account for rapid changes in network conditions, user mobility, or varying traffic loads.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Optimal D2D power for secure D2D communication with random eavesdropper in 5G‐IoT networks

Chandra,

Arya,

Singh

2023

Concurrency and Computation

1

0

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SummaryIn the rapidly evolving landscape of fifth generation Internet of Things (5G‐IoT) networks, Device‐to‐Device (D2D) communication has emerged as a promising paradigm to enhance secrecy transmission rate (STR) and connectivity. However, the security of D2D communications in the presence of eavesdroppers remains a critical challenge. This article investigates the problem of optimizing D2D transmit power to achieve secure D2D communication while considering the presence of random eavesdroppers in 5G‐IoT networks. We propose a novel secrecy‐based power control approach (SRMWPCA) approach to model the random distribution of eavesdroppers in the network, taking into account their varying distances from D2D pairs and deliberately increasing interference at the eavesdropper's link. By leveraging tools from stochastic geometry, we derive an analytical expression for the secrecy transmission probability (STP), which quantifies the probability of eavesdroppers successfully decoding the D2D transmission. In this analysis, we have incorporated practical considerations such as channel fading, path loss, and interference from other devices. To enhance the security of D2D communication, we formulate an optimization problem to determine the optimal transmit power levels for D2D pairs, subject to constraints on the secrecy transmission probability and interference to the cellular network. We propose an efficient algorithm to find the power allocation that maximizes the secrecy outage performance while meeting these constraints. Simulation results demonstrate the effectiveness of the proposed approach in achieving secure D2D communication in 5G‐IoT networks with random eavesdroppers. The performance of the proposed SRMWPCA approach improved by 23.25% and 20.9% compared with standard approaches in terms of the secrecy rate and throughput of the users from malicious attacks.

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“…They considered distributed PPZF precoding scheme and deduced closed-form expressions for the SE at the legitimate user and Eve. Xia et al [149] examined the secrecy performance of the NAFD CF-mMIMO systems, focusing on the optimization of local transmit and receiver beamforming vectors at the APs, AN covariance matrix, and AP mode selection vectors. This optimization process was carried out using a two-layer algorithm.…”

Section: A Literature Reviewmentioning

confidence: 99%

Next Generation Multiple Access with Cell-Free Massive MIMO

Mohammadi,

Mobini,

Ngo

et al. 2023

Preprint

0

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<p>To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm shift from conventional cellular networks to distributed communication systems is imperative. Cell-free massive multiple-input multiple-output (CF-mMIMO) represents a practical and scalable embodiment of distributed/network MIMO systems. It inherits not only the key benefits of co-located massive MIMO systems but also the macro-diversity gains from distributed systems. This innovative architecture has demonstrated significant potential in enhancing network performance from various perspectives, outperforming co-located mMIMO and conventional small-cell systems. Moreover, CF-mMIMO offers flexibility in integration with emerging wireless technologies such as full-duplex (FD), non-orthogonal transmission schemes, millimeter-wave (mmWave) communications, ultra-reliable low-latency communication (URLLC), unmanned aerial vehicle (UAV)-aided communication, and reconfigurable intelligent surfaces (RISs). In this paper, we provide an overview of current research efforts on CF-mMIMO systems and their promising future application scenarios. We then elaborate on new requirements for CF-mMIMO networks in the context of these technological breakthroughs. We also present several current open challenges and outline future research directions aimed at fully realizing the potential of CF mMIMO systems in meeting the evolving demands of future wireless networks.</p>

show abstract

“…They considered distributed PPZF precoding scheme and deduced closed-form expressions for the SE at the legitimate user and Eve. Xia et al [149] examined the secrecy performance of the NAFD CF-mMIMO systems, focusing on the optimization of local transmit and receiver beamforming vectors at the APs, AN covariance matrix, and AP mode selection vectors. This optimization process was carried out using a two-layer algorithm.…”

Section: A Literature Reviewmentioning

confidence: 99%

Next Generation Multiple Access with Cell-Free Massive MIMO

Mohammadi,

Mobini,

Ngo

et al. 2023

Preprint

0

View full text Add to dashboard Cite

<p>To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm shift from conventional cellular networks to distributed communication systems is imperative. Cell-free massive multiple-input multiple-output (CF-mMIMO) represents a practical and scalable embodiment of distributed/network MIMO systems. It inherits not only the key benefits of co-located massive MIMO systems but also the macro-diversity gains from distributed systems. This innovative architecture has demonstrated significant potential in enhancing network performance from various perspectives, outperforming co-located mMIMO and conventional small-cell systems. Moreover, CF-mMIMO offers flexibility in integration with emerging wireless technologies such as full-duplex (FD), non-orthogonal transmission schemes, millimeter-wave (mmWave) communications, ultra-reliable low-latency communication (URLLC), unmanned aerial vehicle (UAV)-aided communication, and reconfigurable intelligent surfaces (RISs). In this paper, we provide an overview of current research efforts on CF-mMIMO systems and their promising future application scenarios. We then elaborate on new requirements for CF-mMIMO networks in the context of these technological breakthroughs. We also present several current open challenges and outline future research directions aimed at fully realizing the potential of CF mMIMO systems in meeting the evolving demands of future wireless networks.</p>

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Joint Uplink Power Control, Downlink Beamforming, and Mode Selection for Secrecy Cell-Free Massive MIMO With Network-Assisted Full Duplexing

Cited by 13 publications

References 45 publications

Optimal D2D power for secure D2D communication with random eavesdropper in 5G‐IoT networks

Optimal D2D power for secure D2D communication with random eavesdropper in 5G‐IoT networks

Next Generation Multiple Access with Cell-Free Massive MIMO

Next Generation Multiple Access with Cell-Free Massive MIMO

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