通过联合协调无线电、无线中回传和云资源解锁O-RAN细胞-free大规模MIMO的节能潜力
Unlocking the Energy-Saving Potential in O-RAN Cell-Free Massive MIMO by Joint Orchestration of Radio, Wireless Fronthaul, and Cloud Resources
AI总结：
本文研究了O-RAN架构下无线中回传的细胞-free大规模MIMO网络，提出联合协调框架以最小化端到端能耗并满足用户设备速率需求，通过集中式预编码和分布式预编码算法实现高达70%的能耗节省。
摘要：
开放无线电接入网络（O-RAN）中的网络虚拟化和云化使处理和中回传资源的联合协调成为可能，这对于实现细胞-free大规模MIMO网络的节能潜力至关重要。为了利用这一潜力，我们研究了在O-RAN架构上部署的细胞-free大规模MIMO，其中无线中回传消除了光纤部署的需求。我们首先建模了无线中回传下的端到端能耗。然后，我们提出了一种联合协调框架，用于协调无线电、中回传和处理资源，以最小化端到端能耗，同时满足用户设备（UE）速率要求和无线中回传约束。开发了两种算法：一种用于集中式预编码的场景采样/组Lasso方法，另一种用于分布式预编码的块坐标下降方法。数值结果表明，集中式预编码显著优于分布式预编码。端到端资源协调相比云-only协调提供了高达70%的能耗节省，相比无线电-only协调高达15%。此外，将相同数量的天线分布在覆盖区域而非集中在少数无线电单元（RUs）上，大幅降低了网络能耗，证明了细胞-free大规模MIMO在未来移动网络中能够同时实现高性能和高能效。
英文摘要：
Network virtualization and cloudification in Open Radio Access Networks (O-RAN) enable joint orchestration of the processing and fronthaul resources, which are essential for realizing the energy-saving potential of cell-free massive MIMO networks. To harness this potential, we investigate cell-free massive MIMO deployed over an O-RAN architecture with a wireless fronthaul that removes the need for fiber deployment. We first model the end-to-end power consumption under wireless fronthaul. Then, we propose a joint orchestration framework for radio, fronthaul, and processing resources that minimizes end-to-end power consumption while satisfying user-equipment (UE) rate requirements and wireless-fronthaul constraints. Two algorithms are developed: a scenario-sampling/group-Lasso method for centralized precoding and a block-coordinate descent method for distributed precoding. Numerical results show that centralized precoding significantly outperforms distributed precoding. End-to-end resource orchestration provides up to 70% energy-savings compared to cloud-only orchestration and up to 15% compared to radio-only orchestration. Moreover, distributing the same total number of antennas across the coverage area, rather than concentrating them at a few radio units (RUs), substantially reduces network power consumption, demonstrating that cell-free massive MIMO can deliver both high performance and high energy efficiency in future mobile networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
