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International Symposium on Wireless Personal Multimedia Communications (WPMC)

Coordination beamforming for secrecy enhancement in the downlink MU-MIMO cellular networks

Qin Zhang, Juan Bai, Linrang Zhang, Guimei Zheng, Xuefei Zhang

Published Nov 1, 2016• 0 citations
OpenAlex

Abstract

In a conventional cellular wireless networks, single cell processing (SCP) is usually considered where inter-cell interference is treated as noise. As we know, interference can cause severe information leakage for secret communication, the paper studies the secrecy performance with coordination beamforming (CBf) scheme in the downlink of a two-cell multi-user MIMO (MU-MIMO) cellular network. For CBf, the BSs can jointly design their respective beamformers to control inter-cell interference. Based on regularized channel inversion (RCI) precoding, we derive the concise formulas for the signal-to interference plus noise (SINR) at a legitimate user and the colluding malicious users, and the achievable secrecy sum-rate for the CBf scheme. Furthermore, we obtain their corresponding approximation in large-system regime, in which the number of users per cell K and the number of antenna at BS N tend to infinity, while with their ratio β = K/N being held constant. The analytical results are validated with finite-size system by simulation. Compared with SCP without BS cooperation, simulation results show that the secrecy performance can be significantly enhanced by exploiting CBf scheme.

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In a conventional cellular wireless networks, single cell processing (SCP) is usually considered where inter-cell interference is treated as noise. As we know, interference can cause severe information leakage for secret communication, the paper studies the secrecy performance with coordination beamforming (CBf) scheme in the downlink of a two-cell multi-user MIMO (MU-MIMO) cellular network. For CBf, the BSs can jointly design their respective beamformers to control inter-cell interference. Based on regularized channel inversion (RCI) precoding, we derive the concise formulas for the signal-to interference plus noise (SINR) at a legitimate user and the colluding malicious users, and the achievable secrecy sum-rate for the CBf scheme. Furthermore, we obtain their corresponding approximation in large-system regime, in which the number of users per cell K and the number of antenna at BS N tend to infinity, while with their ratio β = K/N being held constant. The analytical results are validated with finite-size system by simulation. Compared with SCP without BS cooperation, simulation results show that the secrecy performance can be significantly enhanced by exploiting CBf scheme.
In this paper, we consider secure transmission in the downlink of a multicell multiple-input multiple-output (MIMO) system with M cells; each cell consists of an N -antenna base station (BS) and K single-antenna users. Coordinated beamforming (CBf) is employed for secrecy enhancement. For CBf, the BSs can jointly design their respective beamformers to control intercell interference and information leakage. Based on regularized channel inversion (RCI) precoding structures, we derive the concise formulas for the signal-to-interference-plus-noise ratio (SINR) for the legitimate users and the colluding malicious users and the achievable secrecy sum rate for the CBf. Furthermore, we obtain a novel closed-form expression of the secrecy sum in the large-system regime where N and K tend to infinity with a fixed ratio β=K/N . Based on the large-system regime result, the regularization parameter is optimized to maximize the secrecy sum rate. It shows that the optimal regularization parameter decreases with the signal-to-noise ratio (SNR) and stays constant at high SNR if β>1/M . Compared with single-cell processing (SCP) without BS cooperation, simulation results show that the secrecy performance can be significantly enhanced by exploiting CBf. The analytical results are validated with the finite-size system by simulation.
In this letter, we consider the problem of secure communication in the downlink of a multi-cell multiple-input multiple-output (MIMO) system under imperfect channel state information (CSI) at the base stations (BSs). The passive eavesdroppers are considered, whose CSI are unavailable at the BSs. Coordinated Beamforming (CBf) and artificial noise (AN) are employed for secrecy enhancement. Based on regularized channel inversion (RCI) precoding, we derive a novel closed-form expression of secrecy sum-rate in the large-system regime. Based on the result, the regularization parameter and the power allocation ratio between the information signal and AN are optimized. Compared to the perfect CSI case, it shows that the channel estimation error can drastically reduce the secrecy sum-rate, and more power needs to be allocated for AN when the channel estimation error grows larger. The analytical results are validated with the finite-size system by simulation.
For 5G wireless networks, one of the critical demands is security and privacy, which are particularly in multi-cell multi-user MIMO downlink communications. In this paper, we study secure transmission in the downlink of a multi-cell MIMO cellular network under imperfect channel state information (CSI). Multi-Cell Processing (MCP) and an artificial noise (AN) are employed for secrecy enhancement. For MCP, the BSs share the channel information and data symbols for all users to control inter-cell interference and information leakage. AN is added to degrade the eavesdropper's channel. Based on regularized channel inversion (RCI) precoding, we derive the concise formulas for the signal-to-interference plus noise ratio (SINR) at a legitimate user and an eavesdropper, and the achievable secrecy sum-rate with MCP and AN. Furthermore, we obtain their corresponding approximation in large-system regime. It shows that secrecy sum-rate can be greatly improved with MCP and AN under imperfect CSI, especially in high signal-to-noise ratio (SNR), the secrecy sum-rate stays a constant. The analytical results are validated with finite-size system by simulation.
We design a linear precoder based on the principles of the generalized regularized channel inversion (RCI) precoder that achieves confidential broadcasting in a two-cell network. In each cell of the network, an N-antenna base station (BS) communicates with K single-antenna users. We consider coordinated beamforming where the BSs in the two cells do not share messages but the users in the two cells feed back their channel state information to both BSs. In the precoder design, we determine the optimal regularization parameter that maximizes the secrecy sum rate. To this end, we derive new channel-independent expressions for the secrecy sum rate in the large-system regime, where K and N approach infinity with a fixed ratio μ = K/N. Moreover, we propose a power-reduction strategy that significantly improves the secrecy sum rate at high transmit signal-to-noise ratios when μ is higher than 0.5.
In this paper, we study the problem of secure transmission in the downlink of a multi-cell massive multiple-input multiple-output (MIMO) system, where pilot contamination is considered due to non-orthogonal uplink training sequence. The channel state information (CSI) of the eavesdropper is assumed to be unavailable at the base station (BS) and hence, the BS cooperation and an artificial noise(AN) are investigated for secrecy enhancement. Based on regularized channel inversion (RCI), we derive a closed-form expression for ergodic secrecy sum rate in the large-system regime, in which the number of users per cell K, the number of antenna at BS N and the number of antenna at eavesdropper NEtend to infinity. Our analysis shows that the secrecy sum-rate saturates at high signal-to-noise ratio (SNR) with BSs cooperation and AN under pilot contamination.
Physical layer security has drawn significant attention in recent years because of its advances in preventing confidential information leakage to eavesdroppers. In this paper, we focus on secure beamformer designs in multi-user multi-input multi-output (MU-MIMO) systems with a multi-antenna eavesdropper attempting to overhear the confidential information of a particular user. Unlike existing works, we aim to exploit inherent multi-user interference to disrupt the reception of the eavesdropper and enhance the security of wireless communications. Particularly, utilizing practical signal-to-interference-noise (SINR) metrics, the objective of secure beamformer design is to minimize the eavesdropper's SINR, while providing legitimate users with required pre-specified SINRs to guarantee quality of service (QoS).We propose secure beamformer designs for the downlink transmission situation, under the conditions of known and unknown eavesdropper's channels, respectively. With the proposed secure beamformers, the multi-user signal behaves like artificial noise or distributed friendly jamming, which can further degrade the reception of the eavesdropper. Extensive simulation studies confirm our analytical performance predictions and illustrate the advantages of the proposed beamformer designs for secure MU-MIMO transmissions.