Coordinated Beamforming with Artificial Noise for Secure SWIPT under Non-Linear EH Model

Centralized and Distributed Designs

Yang Lu, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Khaled Letaief

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper investigates the artificial noise (AN) aided multi-cell coordinated beamforming (MCBF) for secure simultaneous wireless information and power transfer (SWIPT) in both centralized and distributed manners. The proposed transmit design is formulated into a power-minimization problem to guarantee the authorized users’ information and energy harvesting (EH) requirements while avoiding the information interception by unauthorized users. Power splitting receiver architecture and the non-linear EH model are employed. Both perfect and imperfect channel state information (CSI) cases are considered. For the perfect CSI case, the non-robust design is presented by applying semi-definition relaxation (SDR). When no user harvests energy, the global optimum is guaranteed and when some users harvest energy, approximate global optimum is achieved. For the imperfect CSI case, the worst-case robust design under the deterministic uncertainty channel model (DUM) is studied where a solving approach based on SDR and Sprocedure is proposed, and the statistically robust design under the stochastic uncertainty channel model (SUM) is also studied, where an upper bound to the global optimum is obtained by using SDR and Bernstein-type inequality. We further propose a distributed AN-aided MCBF design framework by using alternating direction method of multipliers (ADMM) for the nonrobust, worst-case robust and statistically robust designs, with which each BS is able to optimize its own transmit design with the local CSI. Simulation results demonstrate our theoretical analysis, which show that our proposed distributed algorithm converges to the optimal results obtained by the centralized one. It also shows that employing the non-linear EH model is able to avoid false output power and save power consumption at the BSs.

Original languageEnglish
JournalIEEE Journal on Selected Areas in Communications
DOIs
Publication statusAccepted/In press - 9 Apr 2018
Externally publishedYes

Fingerprint

Energy harvesting
Beamforming
Channel state information
Parallel algorithms
Electric power utilization

Keywords

  • ADMM
  • Array signal processing
  • artificial noise
  • Couplings
  • green communication
  • Integrated circuit modeling
  • multi-cell coordinated beamforming
  • non-linear EH model
  • Physical security
  • power minimization
  • Radio frequency
  • Robustness
  • Uncertainty
  • Wireless communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

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title = "Coordinated Beamforming with Artificial Noise for Secure SWIPT under Non-Linear EH Model: Centralized and Distributed Designs",
abstract = "This paper investigates the artificial noise (AN) aided multi-cell coordinated beamforming (MCBF) for secure simultaneous wireless information and power transfer (SWIPT) in both centralized and distributed manners. The proposed transmit design is formulated into a power-minimization problem to guarantee the authorized users’ information and energy harvesting (EH) requirements while avoiding the information interception by unauthorized users. Power splitting receiver architecture and the non-linear EH model are employed. Both perfect and imperfect channel state information (CSI) cases are considered. For the perfect CSI case, the non-robust design is presented by applying semi-definition relaxation (SDR). When no user harvests energy, the global optimum is guaranteed and when some users harvest energy, approximate global optimum is achieved. For the imperfect CSI case, the worst-case robust design under the deterministic uncertainty channel model (DUM) is studied where a solving approach based on SDR and Sprocedure is proposed, and the statistically robust design under the stochastic uncertainty channel model (SUM) is also studied, where an upper bound to the global optimum is obtained by using SDR and Bernstein-type inequality. We further propose a distributed AN-aided MCBF design framework by using alternating direction method of multipliers (ADMM) for the nonrobust, worst-case robust and statistically robust designs, with which each BS is able to optimize its own transmit design with the local CSI. Simulation results demonstrate our theoretical analysis, which show that our proposed distributed algorithm converges to the optimal results obtained by the centralized one. It also shows that employing the non-linear EH model is able to avoid false output power and save power consumption at the BSs.",
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author = "Yang Lu and Ke Xiong and Pingyi Fan and Zhangdui Zhong and Khaled Letaief",
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AU - Letaief, Khaled

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N2 - This paper investigates the artificial noise (AN) aided multi-cell coordinated beamforming (MCBF) for secure simultaneous wireless information and power transfer (SWIPT) in both centralized and distributed manners. The proposed transmit design is formulated into a power-minimization problem to guarantee the authorized users’ information and energy harvesting (EH) requirements while avoiding the information interception by unauthorized users. Power splitting receiver architecture and the non-linear EH model are employed. Both perfect and imperfect channel state information (CSI) cases are considered. For the perfect CSI case, the non-robust design is presented by applying semi-definition relaxation (SDR). When no user harvests energy, the global optimum is guaranteed and when some users harvest energy, approximate global optimum is achieved. For the imperfect CSI case, the worst-case robust design under the deterministic uncertainty channel model (DUM) is studied where a solving approach based on SDR and Sprocedure is proposed, and the statistically robust design under the stochastic uncertainty channel model (SUM) is also studied, where an upper bound to the global optimum is obtained by using SDR and Bernstein-type inequality. We further propose a distributed AN-aided MCBF design framework by using alternating direction method of multipliers (ADMM) for the nonrobust, worst-case robust and statistically robust designs, with which each BS is able to optimize its own transmit design with the local CSI. Simulation results demonstrate our theoretical analysis, which show that our proposed distributed algorithm converges to the optimal results obtained by the centralized one. It also shows that employing the non-linear EH model is able to avoid false output power and save power consumption at the BSs.

AB - This paper investigates the artificial noise (AN) aided multi-cell coordinated beamforming (MCBF) for secure simultaneous wireless information and power transfer (SWIPT) in both centralized and distributed manners. The proposed transmit design is formulated into a power-minimization problem to guarantee the authorized users’ information and energy harvesting (EH) requirements while avoiding the information interception by unauthorized users. Power splitting receiver architecture and the non-linear EH model are employed. Both perfect and imperfect channel state information (CSI) cases are considered. For the perfect CSI case, the non-robust design is presented by applying semi-definition relaxation (SDR). When no user harvests energy, the global optimum is guaranteed and when some users harvest energy, approximate global optimum is achieved. For the imperfect CSI case, the worst-case robust design under the deterministic uncertainty channel model (DUM) is studied where a solving approach based on SDR and Sprocedure is proposed, and the statistically robust design under the stochastic uncertainty channel model (SUM) is also studied, where an upper bound to the global optimum is obtained by using SDR and Bernstein-type inequality. We further propose a distributed AN-aided MCBF design framework by using alternating direction method of multipliers (ADMM) for the nonrobust, worst-case robust and statistically robust designs, with which each BS is able to optimize its own transmit design with the local CSI. Simulation results demonstrate our theoretical analysis, which show that our proposed distributed algorithm converges to the optimal results obtained by the centralized one. It also shows that employing the non-linear EH model is able to avoid false output power and save power consumption at the BSs.

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KW - Wireless communication

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