Distributed Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks
نویسندگان
چکیده
We develop two distributed downlink resource allocation algorithms for user-centric, cell-free, spatially-distributed, multiple-input multiple-output (MIMO) networks. In such networks, each user is served by a subset of nearby transmitters that we call units or DUs. The operation the DUs in region controlled central unit (CU). Our first scheme implemented at DUs, while second CUs controlling these define hybrid quality service metric enables optimization system resources proportional fair manner. Specifically, our performs scheduling, beamforming, and power control accounting channel estimation errors. Importantly, algorithm does not require information exchange amongst (CUs) DU-distributed (CU-distributed) system, also smoothly converging. results show CU-distributed provides 1.3- to 1.8-fold network throughput compared with minor increases complexity front-haul load - substantial gains over benchmark schemes like local zero-forcing. analyze trade-offs provided hence highlighting significance deploying multiple user-centric cell-free
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ژورنال
عنوان ژورنال: IEEE Transactions on Wireless Communications
سال: 2022
ISSN: ['1536-1276', '1558-2248']
DOI: https://doi.org/10.1109/twc.2021.3118303