AI 中文总结
研究具有无线前传的无小区大规模 MIMO 网络性能，提出联合接入与前传资源分配算法，通过该算法在满足前传负载约束时最大化最小用户设备频谱效率，揭示功率分配结构及前传限制影响，证明分割选项 8 不实用。
AI 中文摘要
无线前传是灵活且可扩展的无小区大规模 MIMO 系统的关键促成因素，但其有限容量对维持高且均匀的用户性能构成重大挑战。本文分析了具有无线前传的无小区大规模 MIMO 网络在实际低物理层功能分割下的性能。提出一种联合接入与前传资源分配算法，在满足前传负载约束时最大化最小用户设备频谱效率。分析表明无线前传上的功率分配遵循修改后的注水结构，水位由接入和前传信道增益共同决定。还表明严重的前传限制不仅降低用户速率，还会根据云位置引入空间性能差异。最后证明在无线前传约束下分割选项 8 不实用，凸显动态前传比特分配对降低前传负载和实现高效系统运行的重要性。
英文摘要
Wireless fronthaul is a key enabler of flexible and scalable cell-free massive MIMO systems, but its limited capacity poses significant challenges for maintaining high and uniform user performance. In this work, we analyze the performance of a cell-free massive MIMO network with wireless fronthaul under realistic low physical layer functional splits. We propose a joint access and fronthaul resource allocation algorithm that maximizes the minimum user equipment (UE) spectral efficiency while satisfying fronthaul load constraints. Our analysis reveals that power allocation over the wireless fronthaul follows a modified water-filling structure, where the water level is jointly determined by the access and fronthaul channel gains. Furthermore, we show that severe fronthaul limitations not only reduce UE rates but also introduce spatial performance disparities depending on the cloud location. Finally, we demonstrate that split option 8 is impractical under wireless fronthaul constraints, underscoring the importance of dynamic fronthaul bit allocation to reduce fronthaul load and enable efficient system operation.
Commentspresented in SPAWC 2026
