Resource Allocation for Secure Multi-User Downlink MISO-URLLC Systems

Ghanem, Walid R.; Jamali, Vahid; Schober, Robert

doi:10.1109/icc40277.2020.9148705

Cited by 19 publications

(34 citation statements)

References 23 publications

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“…Next, in order to determine these beamforming vectors, we use the monotonic polyblock optimization framework in [29]. Finally, since the computational complexity of the optimal scheme is high, we also propose a suboptimal iterative algorithm based on SDR and SCA to obtain the beamforming vectors [33]- [35].…”

Section: Mimo Wpt Systemsmentioning

confidence: 99%

“…1) Optimal Solution: In the following, we obtain the optimal solution of non-convex problem ( 14) exploiting monotonic optimization [29]. To this end, similar to the monotonic polyblock optimization framework in [29], [33], we obtain the optimal solution of ( 14) by exploring the feasible set V of ( 14) determined by constraint w 2 2 = ν. First, we enclose V by constructing an initial polyblock B (1) with an initial set of vertices L (1) = ỹ(1)…”

Section: Mimo Wpt Systemsmentioning

confidence: 99%

“…In the following, we provide the system parameters adopted in our simulations. In our simulations, the path losses are calculated as 35.3 + 37.6 log 10 (d m ), where d m is the distance between the TX and EH node m [33]. Furthermore, in order to harvest a meaningful amount of power, we assume that the TX and each EH node have a line-of-sight link.…”

Section: A Simulation Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Transmit Strategy for Multi-User MIMO WPT Systems With Non-Linear Energy Harvesters

Shanin¹,

Cottatellucci²,

Schober³

2022

IEEE Trans. Commun.

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Section: Mimo Wpt Systemsmentioning

confidence: 99%

Section: Mimo Wpt Systemsmentioning

confidence: 99%

Section: A Simulation Parametersmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Transmit Strategy for Multi-User MIMO WPT Systems With Non-Linear Energy Harvesters

Shanin¹,

Cottatellucci²,

Schober³

2022

IEEE Trans. Commun.

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“…In [4], the optimization of weighted throughput, subject to the constraints on total transmit power and bandwidth, was investigated for a secure URLLC system. In [5], a transmit L. Wei and B. Jiao are with the Department of Electronics, School of EECS, Peking University, Beijing 100871, China (e-mail: future1997@pku.edu.cn; jiaobl@pku.edu.cn).…”

Section: Introductionmentioning

confidence: 99%

Secrecy Throughput in Full-Duplex Multiuser MIMO Short-Packet Communications

Wei

Yang

Jiao

2021

IEEE Wireless Commun. Lett.

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In this letter, we consider the physical-layer security (PLS) in full-duplex (FD) multiuser multiple-input-multipleoutput (MIMO) short-packet communications, where a base station (BS) transmits precoded signals for secure downlink multicast while receiving signals from uplink users. To quantify the PLS performance in the worst-case scenario, we consider the possible maximum wiretapping capability of a multi-antenna eavesdropper. Taking into account the self-interference (SI) in FD mode and the co-channel interference (CCI) from uplink to downlink, we analyse the secrecy throughput in finite blocklength regime and obtain its analytic expression, which perfectly matches asymptotic and simulation results in various scenarios. Moreover, the investigations on secrecy throughput substantiate that the FD multiuser MIMO systems outperform their halfduplex counterparts given the SI being sufficiently suppressed and the CCI being well managed.

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“…These resource allocation schemes were developed without considering the crucial low latency requirement of URLLC users, which is realized by short packet transmissions (SPT). To fill this gap, [4] investigated a secure URLLC multiuser downlink setup with a single carrier with multiple eavesdroppers. Still, unfavorable channel conditions, such as multipath fading, blockage, and spatial correlation between BS-users and BSeavesdroppers channels, would severely affect QoS, energy efficiency, and security [4].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for IRS-Enabled Secure Multiuser Multi-Carrier Downlink URLLC Systems

Tehrani¹,

Farahmand²

2021

Preprint

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Secure ultra-reliable low-latency communication (URLLC) has been recently investigated with the fundamental limits of finite block length (FBL) regime in mind. Analysis has revealed that when eavesdroppers outnumber BS antennas or enjoy a more favorable channel condition compared to the legitimate users, base station (BS) transmit power should increase exorbitantly to meet quality of service (QoS) constraints. Channelinduced impairments such as shadowing and/or blockage pose a similar challenge. These practical considerations can drastically limit secure URLLC performance in FBL regime. Deployment of an intelligent reflecting surface (IRS) can endow such systems with much-needed resiliency and robustness to satisfy stringent latency, availability, and reliability requirements. We address this problem and propose a joint design of IRS platform and secure URLLC network. We minimize the total BS transmit power by simultaneously designing the beamformers and artificial noise at the BS and phase-shifts at the IRS, while guaranteeing the required number of securely transmitted bits with the desired packet error probability, information leakage, and maximum affordable delay. The proposed optimization problem is nonconvex and we apply block coordinate descent and successive convex approximation to iteratively solve a series of convex subproblems instead. The proposed algorithm converges to a suboptimal solution in a few iterations and attains substantial power saving and robustness compared to baseline schemes.

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Resource Allocation for Secure Multi-User Downlink MISO-URLLC Systems

Cited by 19 publications

References 23 publications

Optimal Transmit Strategy for Multi-User MIMO WPT Systems With Non-Linear Energy Harvesters

Optimal Transmit Strategy for Multi-User MIMO WPT Systems With Non-Linear Energy Harvesters

Secrecy Throughput in Full-Duplex Multiuser MIMO Short-Packet Communications

Resource Allocation for IRS-Enabled Secure Multiuser Multi-Carrier Downlink URLLC Systems

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