Pareto Region Characterization for Rate Control in Multi-User Systems and Nash Bargaining
Zengmao Chen, Sergiy A. Vorobyov, Cheng-Xiang Wang, and John Thompson

TL;DR
This paper characterizes the Pareto rate region in multi-user MIMO systems, showing how interference management strategies like cancellation improve convexity and fairness, and applies Nash bargaining to optimize rate control.
Contribution
It introduces a novel interference cancellation scheme that enlarges the Pareto region and ensures unique Nash bargaining solutions in multi-user MIMO systems.
Findings
Interference cancellation enlarges the Pareto rate region.
Nash bargaining solutions are unique under certain conditions.
Proposed scheme outperforms orthogonal and time-sharing methods.
Abstract
The problem of rate control in multi-user multiple-input multiple-output (MIMO) interference systems is formulated as a multicriteria optimization (MCO) problem. The Pareto rate region of the MCO problem is characterized. It is shown that for the convexity of the Pareto rate region it is sufficient that the interference-plus-noise covariance matrices (INCMs) of multiple users with conflicting objectives approach identity matrix. The latter can be achieved by using either orthogonal signaling, time-sharing, or interference cancellation strategies. In the case of high interference, the interference cancellation is preferable in order to increase the Pareto boundary and guarantee the convexity of the Pareto rate region. The Nash bargaining (NB) is applied to transform the MCO problem into a single-objective one. The characteristics of the NB over MIMO interference systems such as the…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Wireless Communication Networks Research · Advanced Wireless Network Optimization
