A GSVD-Based Precoding Scheme for MIMO-NOMA Relay Transmission
A GSVD-Based Precoding Scheme for MIMO-NOMA Relay Transmission
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DOI：
10.1109/jiot.2023.3325528
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发表时间：
2024-03
影响因子：
10.6
通讯作者：
C. Rao;Zhiguo Ding;K. Cumanan;Xuchu Dai
中科院分区：
文献类型：
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作者：
C. Rao;Zhiguo Ding;K. Cumanan;Xuchu Dai
近年来，多输入多输出（MIMO）非正交多址（NOMA）传输（简称为MIMO-NOMA）因其频谱效率而被广泛应用于物联网（IoT）系统。作为一种有前景的预编码方法，基于广义奇异值分解（GSVD）的预编码方案已在MIMO-NOMA中得到研究。在本研究中，我们将基于 GSVD 的预编码方案应用于具有放大转发 (AF) 中继和两个物联网用户的下行链路 MIMO-NOMA 通信系统。获得两个信道矩阵广义奇异值（GSV）的概率密度函数（PDF）的封闭式表达式，以便于协作MIMO-NOMA传输的性能分析。特别是，通过该分布特性结果，研究了 MIMO-NOMA 实现的用户速率和中断概率，以进行有洞察力的性能评估。此外，还提出了高信噪比 (SNR) 条件下中断概率的渐近近似。除了表征协作 MIMO-NOMA 所实现的性能之外，本文还研究了所讨论的 NOMA 系统的资源分配，其中给出了最大化总速率的次优功率分配算法。对所提出的算法得到的解进行了研究，得到了解的最优性条件。最后给出了仿真结果来展示该方案的优越性并验证了这些分析结果。
Recently, the multiple-input–multiple-output (MIMO) nonorthogonal multiple-access (NOMA) transmission, denoted as MIMO- NOMA, has been widely applied for Internet of Things (IoT) systems due to its spectral efficiency. As a promising precoding method, the generalized singular value decomposition (GSVD)-based precoding scheme has been studied in MIMO- NOMA. In this study, we apply the GSVD-based precoding scheme to a downlink MIMO- NOMA communication system with an amplify-and-forward (AF) relay and two IoT users. A closed-form expression of the probability density function (PDF) of two channel matrices’ generalized singular values (GSVs) is obtained in order to facilitate the performance analysis for cooperative MIMO- NOMA transmission. In particular, by this distribution characteristic result, the users’ rates and outage probabilities achieved by MIMO- NOMA are studied for the insightful performance evaluation. In addition, the asymptotic approximations for outage probabilities at the high signal-to-noise-ratio (SNR) condition are presented. In addition to characterize the performance achieved by cooperative MIMO- NOMA, resource allocation for the addressed NOMA system is also investigated in this article, where a suboptimal power allocation algorithm to maximize the sum rate is given. The solution obtained by the proposed algorithm is studied, where the optimality condition of the solution is obtained. Finally, simulation results are presented to show the superiority of the scheme and verify these analytical results.