Robust and Secure Resource Allocation for Full-Duplex MISO Multicarrier NOMA Systems
Robust and Secure Resource Allocation for Full-Duplex MISO Multicarrier NOMA Systems
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DOI：
10.1109/tcomm.2018.2830325
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发表时间：
2018-09-01
影响因子：
8.3
通讯作者：
Schober, Robert
中科院分区：
文献类型：
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作者：
Sun, Yan;Ng, Derrick Wing Kwan;Schober, Robert
在本文中，我们研究了多输入单输出（MISO）多载波非正交多址（MC-NOMA）系统的资源分配算法设计，其中全双工基站在同一子载波上同时为多个半双工上行链路和下行链路用户提供服务。优化资源分配以最大化加权系统吞吐量，同时限制信息泄漏并注入人工噪声以保证在存在多个潜在窃听者的情况下的安全通信。为此，我们考虑到窃听信道的不完美信道状态信息和合法用户的服务质量要求，制定了鲁棒非凸优化问题。尽管优化问题是非凸性的，但我们通过应用单调优化来最优地解决它，从而产生最优的波束成形、人工噪声设计、子载波分配和功率分配策略。最优资源分配策略可作为性能基准，因为相应的基于单调优化的算法需要较高的计算复杂度。因此，我们还开发了一种低复杂度的次优资源分配算法，该算法收敛于局部最优解。我们的模拟结果表明，次优算法的性能非常接近最优算法。此外，所提出的最优MISO NOMA系统不仅可以同时保证下行链路和上行链路通信安全，而且与传统的MISO正交多址系统和其他两种基线方案相比，系统保密性显着提高。
In this paper, we study the resource allocation algorithm design for multiple-input single-output (MISO) multicarrier non-orthogonal multiple access (MC-NOMA) systems, in which a full-duplex base station serves multiple half-duplex uplink and downlink users on the same subcarrier simultaneously. The resource allocation is optimized for maximization of the weighted system throughput while the information leakage is constrained and artificial noise is injected to guarantee secure communication in the presence of multiple potential eavesdroppers. To this end, we formulate a robust non-convex optimization problem taking into account the imperfect channel state information of the eavesdropping channels and the quality-of-service requirements of the legitimate users. Despite the non-convexity of the optimization problem, we solve it optimally by applying monotonic optimization which yields the optimal beamforming, artificial noise design, subcarrier allocation, and power allocation policy. The optimal resource allocation policy serves as a performance benchmark since the corresponding monotonic optimization-based algorithm entails a high computational complexity. Hence, we also develop a low-complexity suboptimal resource allocation algorithm which converges to a locally optimal solution. Our simulation results reveal that the performance of the suboptimal algorithm closely approaches that of the optimal algorithm. Besides, the proposed optimal MISO NOMA system can not only ensure downlink and uplink communication security simultaneously but also provides a significant system secrecy rate improvement compared with the traditional MISO orthogonal multiple access systems and two other baseline schemes.