Secure Optimal Precoding for User-Centric Cell-Free Massive MIMO System

Gao, Xiang; Li, Yong; Cheng, Wei; Dong, Limeng; Liu, Penglu

doi:10.1109/lwc.2022.3216050

“…4) Precoding Design and Null-Space Artificial Noise: Optimal precoding design to secure DL transmission of a UC-CF mMIMO system against multiple active collusive Eves was addressed by Gao et al [146]. More specifically, the APs estimate the DL CSI by UL pilot training and then share the CSIs of serving UEs to CPU via the fronthaul link.…”

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>

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“…4) Precoding Design and Null-Space Artificial Noise: Optimal precoding design to secure DL transmission of a UC-CF mMIMO system against multiple active collusive Eves was addressed by Gao et al [146]. More specifically, the APs estimate the DL CSI by UL pilot training and then share the CSIs of serving UEs to CPU via the fronthaul link.…”

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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“…While the authors of [14] analyzed the potential of the reconfigurable intelligent surface (RIS) in boosting the secrecy capacity of cell-free mMIMO systems under PSAs, where the power coefficients at APs and RIS phase shifts were jointly optimized. Addressing the problem of information leakage in user-centric cell-free mMIMO system, the precoding was optimized via formulating a secrecy rate maximization problem under the minimum rate requirements of users and the power constraints of APs [15]. Besides, it is worth noting that due to the similarities between cellular and cell-free mMIMO systems, some algorithms originally designed for cellular mMIMO are still applicable to cell-free MIMO systems [16].…”

Section: A Related Workmentioning

confidence: 99%

“…represents the received SINR of the k-th user. The derivation of ( 21) is quite lengthy due to the complex form of âkk shown in (15). As a result, we use approximations to simplify the derivation process.…”

Section: Downlink Achievable Rate Analysis and Power Allocation A Dow...mentioning

confidence: 99%

“…APPENDIX A DERIVATION OF ACHIEVABLE RATE IN (26)According to (25), one must calculate E{ âkk 2 } in order to determine the achievable per-user downlink rate. Given(15), this task requires derivingE{|y dpa,k − E {y dp,k } | 2 }, which is E |ȳ dp,k − E {y dp,k }| = τ d ρ dp ξ k + τ d ρ dp ε 2 k + + τ d µ dp E {y dpa,k } E {y dp,k } = τ d ρ dp ε 2 k + τ d ε k √ ρ dp µ dp N n=1 ζ nk κ nk , E {y dp,k } 2 = τ d ρ dp ε 2 k . (54) Therefore, E{|ȳ dp,k − E {y dp,k } | 2 } can be obtained.…”

mentioning

confidence: 99%

See 1 more Smart Citation

On Pilot Spoofing Attack in Massive MIMO Systems: Detection and Countermeasure

Xu

¹

,

Chang

²

,

Xu

³

et al. 2021

IEEE Trans.Inform.Forensic Secur.

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Massive MIMO systems are vulnerable to pilot spoofing attacks (PSAs) since the estimated channel state information can be contaminated by the eavesdropping link, thus incurring severe information leakage in downlink transmission. To safeguard legitimate communications, this paper proposes a PSA detection method which relies on pilot manipulation. Specifically, users randomly partition pilot sequences into two parts, where the first part remains unchanged and the second one is multiplied with a diagonal matrix. Although a malicious node may follow the same way to send pilots, this makes it more likely to be detected. According to the principle of the likelihood-ratio test, the proposed detector is designed based on a decision metric that does not include the legitimate channel. This feature differentiates our scheme from existing ones and remarkably improves the detection accuracy. Besides, the possibility of performance enhancement by joint detection is discussed. Furthermore, based on pilot manipulation, a jamming-resistant receiver is designed. The key of this receiver is a new channel estimator that is robust to the PSA. Finally, extensive simulations are carried out to validate our proposed algorithms.

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Secure Optimal Precoding for User-Centric Cell-Free Massive MIMO System

Cited by 9 publications

References 16 publications

Next Generation Multiple Access with Cell-Free Massive MIMO

Next Generation Multiple Access with Cell-Free Massive MIMO

Next Generation Multiple Access with Cell-Free Massive MIMO

On Pilot Spoofing Attack in Massive MIMO Systems: Detection and Countermeasure

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