非均匀激活辅助的DMIMO系统分布式广义空间调制

中文摘要 AI 辅助

本文研究了一种在地理分离的传输接收点（TRP）形成的下行链路分布式多输入多输出（DMIMO）系统中，采用非均匀激活辅助的分布式广义空间调制（DGSM）方案。与传统的均匀激活DGSM不同，所提出的方案为不同的TRP子集分配自适应激活概率，从而联合利用数据域传输能力和协作子集选择所携带的索引域信息。我们在非均匀激活下推导了互信息上界，并在长期平均功率约束下，提出了一个联合激活概率和功率分配问题。为解决该问题，我们开发了一种半闭式联合概率和功率优化（SC-JPPO）算法，其中最优激活概率被证明遵循有效效用的Softmax函数。仿真结果表明，与现有基准相比，所提出的方案在相同激活规模和功率预算下提高了频谱效率。

英文摘要

This letter investigates a non-uniform activation aided distributed generalized spatial modulation (DGSM) scheme in a downlink distributed multiple-input multiple-output (DMIMO) system formed by geographically separated transmission reception points (TRPs). Unlike conventional uniform-activation DGSM, the proposed scheme assigns adaptive activation probabilities to different TRP subsets, thereby jointly exploiting the data-domain transmission capability and the index-domain information carried by cooperative subset selection. We derive a mutual-information upper bound under non-uniform activation and formulate a joint activation-probability and power allocation problem subject to a long-term average power constraint. To solve this problem, we develop a semi-closed-form joint probability and power optimization (SC-JPPO) algorithm, where the optimal activation probabilities are shown to follow a Softmax function of the effective utilities. Simulation results demonstrate that the proposed scheme improves spectral efficiency under the same activation scale and power budget compared with existing benchmarks.

发表机构

• University of Science and Technology Beijing（北京科技大学）
• Sony China Research Laboratory（索尼中国研究院）
• Beijing University of Posts and Telecommunications（北京邮电大学）
• Beijing Jiaotong University（北京交通大学）

机构由 AI 辅助整理，请以论文原文为准。