Base Station Cooperation for Confidential Broadcasting in Multi-Cell Networks

We design linear precoders that perform confidential broadcasting in multi-cell networks for two different forms of base station (BS) cooperation, namely, multi-cell processing (MCP) and coordinated beamforming (CBf). We consider a two-cell network where each cell consists of an N-antenna BS and K s...

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Published in:	IEEE transactions on wireless communications Vol. 14; no. 10; pp. 5287 - 5299
Main Authors:	He, Biao, Yang, Nan, Zhou, Xiangyun, Yuan, Jinhong
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Broadcasting Communication system security confidential broadcasting Cooperation coordinated beamforming Design engineering Interference linear precoder Mathematical models multi-cell processing Networks Optimization Physical layer security Radio equipment Receivers Security Signal to noise ratio Stations Strategy Wireless communication Physical layer security multi-cell processing coordinated beamforming linear precoder confidential broadcasting
ISSN:	1536-1276, 1558-2248
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Abstract	We design linear precoders that perform confidential broadcasting in multi-cell networks for two different forms of base station (BS) cooperation, namely, multi-cell processing (MCP) and coordinated beamforming (CBf). We consider a two-cell network where each cell consists of an N-antenna BS and K single-antenna users. For such a network, we design a linear precoder based on the regularized channel inversion (RCI) for the MCP and a linear precoder based on the generalized RCI for the CBf. For each form of BS cooperation, we derive new channel-independent expressions to approximate the secrecy sum rate achieved by the precoder in the large system regime where K,N\rightarrow\infty with a fixed ratio \beta=K/N. Using these results, we determine the optimal regularization parameters of the RCI and the generalized RCI precoders that maximize the secrecy sum rate for the MCP and the CBf, respectively. We further propose power-reduction strategies that significantly increase the secrecy sum rate at high transmit signal-to-noise ratios when the network load is high. Our numerical results substantiate the derived expressions, verify the optimality of the determined optimal regularization parameters, and demonstrate the performance improvement offered by the proposed power-reduction strategies.
AbstractList	We design linear precoders that perform confidential broadcasting in multi-cell networks for two different forms of base station (BS) cooperation, namely, multi-cell processing (MCP) and coordinated beamforming (CBf). We consider a two-cell network where each cell consists of an $N$-antenna BS and $K$ single-antenna users. For such a network, we design a linear precoder based on the regularized channel inversion (RCI) for the MCP and a linear precoder based on the generalized RCI for the CBf. For each form of BS cooperation, we derive new channel-independent expressions to approximate the secrecy sum rate achieved by the precoder in the large system regime where $K,N\rightarrow\infty$ with a fixed ratio $\beta=K/N$. Using these results, we determine the optimal regularization parameters of the RCI and the generalized RCI precoders that maximize the secrecy sum rate for the MCP and the CBf, respectively. We further propose power-reduction strategies that significantly increase the secrecy sum rate at high transmit signal-to-noise ratios when the network load is high. Our numerical results substantiate the derived expressions, verify the optimality of the determined optimal regularization parameters, and demonstrate the performance improvement offered by the proposed power-reduction strategies. We design linear precoders that perform confidential broadcasting in multi-cell networks for two different forms of base station (BS) cooperation, namely, multi-cell processing (MCP) and coordinated beamforming (CBf). We consider a two-cell network where each cell consists of an [Formula Omitted]-antenna BS and [Formula Omitted] single-antenna users. For such a network, we design a linear precoder based on the regularized channel inversion (RCI) for the MCP and a linear precoder based on the generalized RCI for the CBf. For each form of BS cooperation, we derive new channel-independent expressions to approximate the secrecy sum rate achieved by the precoder in the large system regime where [Formula Omitted] with a fixed ratio [Formula Omitted]. Using these results, we determine the optimal regularization parameters of the RCI and the generalized RCI precoders that maximize the secrecy sum rate for the MCP and the CBf, respectively. We further propose power-reduction strategies that significantly increase the secrecy sum rate at high transmit signal-to-noise ratios when the network load is high. Our numerical results substantiate the derived expressions, verify the optimality of the determined optimal regularization parameters, and demonstrate the performance improvement offered by the proposed power-reduction strategies.
Author	Biao He Jinhong Yuan Xiangyun Zhou Nan Yang
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SubjectTerms	Broadcasting Communication system security confidential broadcasting Cooperation coordinated beamforming Design engineering Interference linear precoder Mathematical models multi-cell processing Networks Optimization Physical layer security Radio equipment Receivers Security Signal to noise ratio Stations Strategy Wireless communication
Title	Base Station Cooperation for Confidential Broadcasting in Multi-Cell Networks
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