多流时空信道编码用于MIMO系统：传输方案设计与可达速率优化
Multi-Stream Spatiotemporal Channel Coding for MIMO Systems: Transmission Scheme Design and Achievable Rate Optimization
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中文总结 AI 辅助
本文提出多流多子信道时空信道编码（STCC-MSC）方案，通过联合优化子信道分配与功率分配，并设计PACA算法求解，在MIMO系统中显著提升可达速率，较TCC方案提升28.68%。
中文摘要 AI 辅助
时空信道编码（STCC）通过利用空间自由度来扩展码字长度，相较于传统时间信道编码（TCC）能够提升可达速率。尽管关于STCC的信息论基础已有若干建立，但从通信理论视角对传输方案的研究仍处于早期阶段。本文在完全信道状态信息假设下提出了一种多流多子信道STCC（STCC-MSC）方案，并在有限块长机制下优化其可达速率。我们首先在点对点MIMO系统中构建STCC-MSC的传输架构，该架构引入了流-子信道匹配机制。随后，通过联合优化子信道分配和功率分配策略来最大化STCC-MSC的可达速率，该问题被建模为混合整数非线性规划问题。接着，提出了一种惩罚交替凸近似（PACA）算法来求解该问题。之后，我们将点对点STCC-MSC设计扩展到更一般的多用户MIMO系统，包括上行和下行场景。最后，仿真结果表明，在STCC-MSC方案内，PACA算法相较于基准算法实现了9.85%的速率提升。此外，联合STCC-MSC-PACA方案相较于TCC方案将可达速率提升了28.68%。
英文摘要
Spatiotemporal channel coding (STCC) can improve the achievable rate over traditional temporal channel coding (TCC) by leveraging spatial degrees of freedom to extend the codeword length. Although several information-theoretic foundations on STCC have been established, the investigation of transmission schemes from a communication-theoretic perspective remains in its early stages. This paper proposes a multi-stream over multi-subchannel STCC (STCC-MSC) under full channel state information assumption and optimizes its achievable rate in the finite blocklength regime. We first formulate the transmission architecture of STCC-MSC in a point-to-point MIMO system, which introduces a stream-subchannel matching mechanism. We then maximize the achievable rate of STCC-MSC by jointly optimizing the subchannel assignment and power allocation strategies, which is formulated as a mixed-integer-nonlinear-programming problem. Next, a penalized alternating convex approximation (PACA) algorithm is proposed to solve this problem. Subsequently, we extend the point-to-point STCC-MSC designs to the more general multi-user MIMO systems, including both uplink and downlink scenarios. Finally, simulation results indicate that the PACA algorithm achieves a 9.85% rate improvement over the benchmark algorithm within the STCC-MSC scheme. Furthermore, the joint STCC-MSC-PACA scheme improves the achievable rate by 28.68% over TCC scheme.
发表机构
- Beijing University of Posts and Telecommunications（北京邮电大学）
- Peng Cheng Laboratory（鹏城实验室）
- Nanyang Technological University（南洋理工大学）
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