Downlink Resource Allocation in Multiuser Cell-free MIMO Networks with User-centric Clustering
Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau,, Kothapalli Venkata Srinivas

TL;DR
This paper develops an algorithm for optimizing user scheduling, power allocation, and beamforming in user-centric cell-free MIMO networks, demonstrating significant spectral efficiency gains over benchmarks and highlighting the importance of CSI and pilot assignment strategies.
Contribution
It introduces a novel joint optimization framework for user-centric clustering in cell-free MIMO, incorporating low-overhead pilot assignment and demonstrating superior performance.
Findings
Significant spectral efficiency improvements over benchmark schemes.
Coherent transmission outperforms non-coherent mode under various CSI conditions.
Effective pilot reuse strategies are crucial for network performance.
Abstract
In this paper, we optimize user scheduling, power allocation and beamforming in distributed multiple-input multiple-output (MIMO) networks implementing user-centric clustering. We study both the coherent and non-coherent transmission modes, formulating a weighted sum rate maximization problem for each; finding the optimal solution to these problems is known to be NP-hard. We use tools from fractional programming, block coordinate descent, and compressive sensing to construct an algorithm that optimizes the beamforming weights and user scheduling and converges in a smooth non-decreasing pattern. Channel state information (CSI) being crucial for optimization, we highlight the importance of employing a low-overhead pilot assignment policy for scheduling problems. In this regard, we use a variant of hierarchical agglomerative clustering, which provides a suboptimal, but feasible, pilot…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Millimeter-Wave Propagation and Modeling
