User Scheduling for Heterogeneous Multiuser MIMO Systems: A Subspace Viewpoint
Xinping Yi, Edward Au

TL;DR
This paper introduces new angular-based user scheduling criteria and algorithms for heterogeneous MU-MIMO systems, focusing on minimizing interference and balancing fairness and diversity, with demonstrated effectiveness through simulations.
Contribution
It proposes novel subspace-based angular criteria and hybrid algorithms tailored for heterogeneous users, addressing limitations of existing homogeneous assumptions.
Findings
New angular-based scheduling criteria outperform traditional methods.
Hybrid algorithms achieve a good balance between fairness and multiuser diversity.
Simulation results validate the effectiveness of the proposed methods.
Abstract
In downlink multiuser multiple-input multiple-output (MU-MIMO) systems, users are practically heterogeneous in nature. However, most of the existing user scheduling algorithms are designed with an implicit assumption that the users are homogeneous. In this paper, we revisit the problem by exploring the characteristics of heterogeneous users from a subspace point of view. With an objective of minimizing interference non-orthogonality among users, three new angular-based user scheduling criteria that can be applied in various user scheduling algorithms are proposed. While the first criterion is heuristically determined by identifying the incapability of largest principal angle to characterize the subspace correlation and hence the interference non-orthogonality between users, the second and third ones are derived by using, respectively, the sum rate capacity bounds with block…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
