Resource Optimization in Full Duplex Non-Orthogonal Multiple Access Systems

Resource Optimization in Full Duplex Non-Orthogonal Multiple Access Systems
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DOI:
10.1109/twc.2019.2923172
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发表时间:
2019-06
影响因子:
10.4
通讯作者:
Keshav Singh;Kaidi Wang;S. Biswas;Z. Ding;F. Khan;T. Ratnarajah
Keshav Singh;Kaidi Wang;S. Biswas;Z. Ding;F. Khan;T. Ratnarajah
中科院分区:
计算机科学1区
文献类型:
--
作者:
Keshav Singh;Kaidi Wang;S. Biswas;Z. Ding;F. Khan;T. Ratnarajah

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研究了一种基于单位功率接收信干噪比(SINR)优化的全双工(FD)多用户非正交多址(NOMA)通信系统。由于通信系统工作在FD模式下,同信道干扰(CCI)和自干扰(SI)主导着系统的性能。因此,为了对抗CCI,我们采用了博弈论的方法,提出了用户分簇算法,并且为了抑制SI,我们构造了一个最大化功率归一化SINR(PN-SINR)的优化问题。虽然用户集群优化问题受以下约束:1)连续干扰消除(SIC)约束和2)上行链路(UL)和下行链路(DL)用户分配的两个二元约束,而PN-SINR问题受以下约束:1)基站和UL用户的总发射功率预算;2)在NOMA中实现连续干扰消除的基本条件;以及3)对于UL用户的最小公平性条件。将原PN-SINR问题转化为等价的减法问题,提出了求解最优功率分配策略的迭代算法。深入研究了所有算法的性质,并给出了数值结果。基于SI和CCI的信道条件和抑制水平,验证了所提出的FD-NOMA系统相对于半双工NOMA和FD正交多址系统的优越性。
In this paper, we investigate a full duplex (FD) multi-user non-orthogonal multiple access (NoMA) communication system based on the optimization of received signal-to-interference-plus-noise ratio (SINR) per unit power. Since the communication system operates in the FD mode, co-channel interference (CCI) and self-interference (SI) dominate the system’s performance. Accordingly, to combat the CCI, we adopt a game-theoretic approach and propose users’ clustering algorithms and to suppress the SI, we formulate an optimization problem to maximize the power-normalized SINR (PN-SINR). While the user clustering optimization problem is constrained by: 1) the successive interference cancellation (SIC) constraint and 2) two binary constraints for the allocations of uplink (UL) and downlink (DL) users, the PN-SINR problem is constrained by: 1) total transmit power budget at the base station and UL users; 2) the fundamental condition for the implementation of successive interference cancellation in the NoMA; and 3) the minimum fairness condition for the UL users. The original PN-SINR problem is non-convex and hence is converted into an equivalent subtractive-form problem, after which we propose an iterative algorithm to find the optimal power allocation policy. Properties of all the proposed algorithms are thoroughly investigated and the numerical results are provided. Based on the channel conditions and suppression level of SI and CCI, the superiority of the proposed FD-NoMA system over half-duplex NoMA and FD orthogonal multiple access systems is verified.