A New Design Paradigm for Secure Full-Duplex Multiuser Systems

被引:48
|
作者
Van-Dinh Nguyen [1 ,2 ]
Nguyen, Hieu V. [1 ,2 ]
Dobre, Octavia A. [3 ]
Shin, Oh-Soon [1 ,2 ]
机构
[1] Soongsil Univ, Sch Elect Engn, Seoul 06978, South Korea
[2] Soongsil Univ, Dept ICMC Convergence Technol, Seoul 06978, South Korea
[3] Mem Univ, Fac Engn & Appl Sci, St John, NF A1B 3X5, Canada
基金
加拿大自然科学与工程研究理事会; 新加坡国家研究基金会;
关键词
Artificial noise; full-duplex radios; full-duplex self-interference; fractional time allocation; nonconvex programming; transmit beamforming; physical-layer security; MULTIPLE-ANTENNA TECHNIQUES; WIRELESS INFORMATION; SPECTRAL EFFICIENCY; SELF-INTERFERENCE; TIME ALLOCATION; ENERGY; OPTIMIZATION; NETWORKS; NOMA;
D O I
10.1109/JSAC.2018.2824379
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a full-duplex (FD) multiuser system where an FD base station (BS) is designed to simultaneously serve both downlink (DL) and uplink (UL) users in the presence of half-duplex eavesdroppers (Eves). The problem is to maximize the minimum (max-min) secrecy rate (SR) among all legitimate users, where the information signals at the FD-BS are accompanied with artificial noise to debilitate the Eves' channels. To enhance the max-min SR, a major part of the power budget should be allocated to serve the users with poor channel qualities, such as those far from the FD-BS, undermining the SR for other users, and thus compromising the SR per-user. In addition, the main obstacle in designing an FD system is due to the self-interference (SI) and co-channel interference (CCI) among users. We therefore propose an alternative solution, where the FD-BS uses a fraction of the time block to serve near DL users and far UL users, and the remaining fractional time to serve other users. The proposed scheme mitigates the harmful effects of SI, CCI, and multiuser interference, and provides system robustness. The SR optimization problem has a highly nonconcave and nonsmooth objective, subject to nonconvex constraints. For the case of perfect channel state information (CSI), we develop a low-complexity path-following algorithm, which involves only a simple convex program of moderate dimension at each iteration. We show that our path-following algorithm guarantees convergence at least to a local optimum. Then, we extend the path-following algorithm to the cases of partially known Eves' CSI, where only statistics of CSI for the Eves are known, and worst-case scenario in which Eves can employ a more advanced linear decoder. The merit of our proposed approach is further demonstrated by extensive numerical results.
引用
收藏
页码:1480 / 1498
页数:19
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