Robust Energy Efficient Beamforming in MISOME-SWIPT Systems With Proportional Secrecy Rate

Dong, Yanjie; Hossain, Md. Jahangir; Cheng, Julian; Leung, Victor C. M.

doi:10.1109/jsac.2018.2872368

Cited by 29 publications

(16 citation statements)

References 55 publications

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“…Therefore, we conclude O P T (t k ) ≤ O P T (t k ). Based on the arguments in [41], we demonstrate that the optimal Z * (t k ) make the constraints in (33c) active. In other words, we obtain O P T (t k ) = O P T (t k ).…”

Section: B Optimal Beamforming and Nre Exchanging In Each Slotmentioning

confidence: 91%

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Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination

Dong

Hossain

Cheng

et al. 2020

IEEE Trans. Commun.

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User scheduling, beamforming and energy coordination are investigated in smart-grid powered cellular networks (SGPCNs), where the base stations are powered by a smart grid and natural renewable energy sources. Heterogeneous energy coordination is considered in SGPCNs, namely energy merchandizing with the smart grid and energy exchanging among the base stations. A long-term grid-energy expenditure minimization problem with proportional-rate constraints is formulated for SGPCNs. Since user scheduling is coupled with the beamforming vectors, the formulated problem is challenging to handle via standard convex optimization methods. In practice, the beamforming vectors need to be updated over each slot according to the channel variations. User scheduling needs to be updated over several slots (frame) since the frequent scheduling of user equipment can cause reliability issues. Therefore, the Lyapunov optimization method is used to decouple the problem. A practical two-scale algorithm is proposed to schedule users at each frame, and obtain the beamforming vectors and amount of exchanged natural renewable energy at each slot. We prove that the proposed two-scale algorithm can asymptotically achieve the optimal solutions via tuning a control parameter. Numerical results verify the performance of the proposed twoscale algorithm. NOMENCLATURE Variables DefinitionsM Number of BSTs L Number of antennas at each BST N m Number of associated UEs in the mth BST T Number of slots in each frame T k Set of slots in the kth frame h m,n (t k ) Channel-coefficient vector of the (m, n)th access link ω m,n Pathloss of the (m, n)th access link a m,n [k] Scheduled UE indicator y m,n (t k ) Received signal of the (m, n)th UE ).w m,n (t k ) Single-stream beamforming vector for the (m, n)th UE z m,n (t k ) AWGN at the (m, n)th UE σ 2 m,n Power of the AWGN at the (m, n)th UE SINR m,n Received SINR of the (m, n)th UE

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Section: B Optimal Beamforming and Nre Exchanging In Each Slotmentioning

confidence: 91%

“…See Appendix D for a detailed proof of the activeness of constraints in (33c). Motivated by Proposition 2 of [41], the optimal φ * (t k ) can be obtained via a one-dimensional search method. Therefore, the optimization problem (28) can be optimally solved.…”

Section: B Optimal Beamforming and Nre Exchanging In Each Slotmentioning

confidence: 99%

Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination

Dong

Hossain

Cheng

et al. 2020

IEEE Trans. Commun.

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“…The joint design of the beamforming vector and an artificial noise covariance matrix was investigated [14] for the multiple-input-single-output-multiple eavesdropper simultaneous wireless information and power transfer (MISOME-SWIPT) systems. In the MISOME-SWIPT system, the base station (BS) sends an information signal to the honest user equipment and transmits a jamming signal to the eavesdropper.…”

Section: Zero-forcing Beamforming (Zfbf) Related Workmentioning

confidence: 99%

Secure Beamforming in 5G-Based Cognitive Radio Network

Antony

Thulasimani

2019

Symmetry

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Cognitive radio network (CRN) and non-orthogonal multiple-access (NOMA) is a significant system in the 5G wireless communication system. However, the system is an exceptional way for the cognitive users to secure a communication from the interferences in multiple-input multiple-output (MIMO)-NOMA-based cognitive radio network. In this article, a new beamforming technique is proposed to secure an information exchange within the same cells and neighboring cells from all intervened users. The interference is caused by an imperfect spectrum sensing of the secondary users (SUs). The SUs are intended to access the primary channels. At the same time, the primary user also returns to the channel before the SUs access ends. This similar way of accessing the primary channel will cause interference between the users. Thus, we predicted that the impact of interferences would be greatly reduced by the proposed technique, and that the proposed technique would maximize the entire secrecy rate in the 5G-based cognitive radio network. The simulation result provides better evidence for the performance of the proposed technique.

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“…Equation (28) indicates that the conclusion of g 1 (x) ≤ g 2 (x) must be hold. Then, Case 2 would only be divided into four scenarios:…”

Section: Case 1: a < Bmentioning

confidence: 99%

Joint design of beamforming and time switching/power splitting for wireless-powered multi-antenna dual-relay network

Hu¹,

Cai²,

Liang³

et al. 2019

J Wireless Com Network

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In this paper, we consider a wireless-powered dual-relay network consisting of one multi-antenna source, two single-antenna energy-constrained relays and one single-antenna destination without direct source to destination link. In order to establish the communication flow, the energy-constrained relays harvest energy from the radio frequency transmitted by the source firstly, then exploit the harvested energy to forward the source information to the destination based on distributed space time coding (DSTC). Under this network architecture, three decode-and-forward (DF) technique-based relaying protocols, i.e., time switching-based relaying (TSR) protocol, power splitting-based relaying (PSR) protocol, and hybrid relaying (HR) protocol, are considered to drive the energy transfer and information transmission. To maximize the network throughput, the joint design for the optimal energy and information beamforming vectors employed at the source, the optimal time switching, and power splitting ratios under these three protocols are investigated and solved efficiently by employing simple sequential optimization approach or alternating optimization approach. Simulations are conducted to show the superior performance achieved by our proposed scheme. Moreover, we find that the TSR protocol outperforms the PSR protocol in the low signal-to-noise ratio (SNR) region, while the latter outperforms the former in the high SNR region. And the HR protocol achieves the best performance in any SNR region. At the same time, the effect of the relays' locations on the throughput performance of these three protocols is also investigated.

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Robust Energy Efficient Beamforming in MISOME-SWIPT Systems With Proportional Secrecy Rate

Cited by 29 publications

References 55 publications

Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination

Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination

Secure Beamforming in 5G-Based Cognitive Radio Network

Joint design of beamforming and time switching/power splitting for wireless-powered multi-antenna dual-relay network

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