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- W4287331986 abstract "We study the problem of user-scheduling and resource allocation in distributed multi-user, multiple-input multiple-output (MIMO) networks implementing user-centric clustering and non-coherent transmission. We formulate a weighted sum-rate maximization problem which can provide user proportional fairness. As in this setup, users can be served by many transmitters, user scheduling is particularly difficult. To solve this issue, we use block coordinate descent, fractional programming, and compressive sensing to construct an algorithm that performs user-scheduling and beamforming. Our results show that the proposed framework provides an 8- to 10-fold gain in the long-term user spectral efficiency compared to benchmark schemes such as round-robin scheduling. Furthermore, we quantify the performance loss due to imperfect channel state information and pilot training overhead using a defined area-based pilot-reuse factor." @default.
- W4287331986 created "2022-07-25" @default.
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- W4287331986 date "2021-02-04" @default.
- W4287331986 modified "2023-09-24" @default.
- W4287331986 title "Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO" @default.
- W4287331986 doi "https://doi.org/10.48550/arxiv.2102.02968" @default.
- W4287331986 hasPublicationYear "2021" @default.
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