发表机构
Ruhr University Bochum; ICTFicial Oy（波鸿鲁尔大学; ICTFicial公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对上行主导网络服务，提出基于MADRL的PRISM多址接入方案，利用用户数据语义相关性量化空间冗余，使频谱利用率与能效较基准方案提升最高2倍，性能达集中式最优的90%
AI 中文摘要
向语义感知通信的转变为下一代移动网络带来了范式转变，有望将信息重要性与原始数据传输解耦。尽管语义提取已取得进展，但将语义智能整合到媒体接入控制（MAC）层的研究仍有待深入，尤其是在利用用户间空间相关性方面。为解决这一问题，我们提出了一种专为上行主导网络服务设计的新型多址接入方案。该框架通过将可变分组长度接入建模为不同的α公平性和能效问题，优化了频谱利用率与可持续性之间的权衡。我们方法的一项关键创新是通过自吞吐量和辅助吞吐量的新型指标量化空间冗余，这些指标考虑了用户设备间数据的语义相关性。我们对这些建模进行分析以确定最优边界，随后提出PRISM（语义多址接入中的冗余识别协议）。PRISM基于无模型多智能体深度强化学习（MADRL），使设备仅利用局部观测即可自主管控频谱接入。大量评估表明，PRISM成功利用冗余实现了对语义感知缺失方案的性能超越，达到了集中式最优基准的90%，并在不同用户-语义关联矩阵下使两个目标均提升了最多2倍。这些结果验证了PRISM是未来分布式移动网络应用的可行候选方案，可作为正交多址接入方案的补充，该方案在语义域中对信号进行多路复用。
英文摘要
The transition toward semantic-aware communication offers a paradigm shift for next-generation mobile networks, promising to decouple information significance from raw data transmission. Despite advances in semantic extraction, the integration of semantic intelligence into the Medium Access Control (MAC) layer remains underexplored, particularly in exploiting spatial correlations among users. To address this, we introduce a novel multiple access scheme designed for uplink-dominant network services. This framework optimizes the trade-off between spectrum utilization and sustainability by formulating variable-packet-length access as distinct $α$-fairness and energy efficiency problems. A key innovation of our approach is the quantification of spatial redundancies through novel metrics of self-throughput and assisted-throughput, which account for the semantic correlation of data across user equipment. We analyze these formulations to identify optimal bounds before proposing PRISM (Protocol for Redundancy Identification in Semantic Multiple-access). Grounded in Model-free Multi-Agent Deep Reinforcement Learning (MADRL), PRISM enables devices to autonomously govern spectrum access using only local observations. Extensive evaluations demonstrate that PRISM successfully leverages redundancies to outperform semantic-oblivious schemes, achieving up to \({90\%}\) of the centralized optimal benchmark and improving both objectives by up to \({2\times}\) across diverse user-semantic association matrices. These results validate PRISM as a viable candidate for future distributed mobile network applications, complemented by orthogonal Multiple Access Schemes where signals are multiplexed in the semantic domain.
CommentsThis manuscript has been accepted for publication in IEEE Transactions on Network and Service Management
