Optimal Mode Selection in D2D-Enabled Multi-Base Station Systems
Yuan Liu

TL;DR
This paper addresses optimal mode selection in multi-base station D2D-enabled cellular networks, proposing a graph-based method for global optimality and a distributed algorithm with near-optimal performance.
Contribution
It introduces a polynomial-time graph-based solution for joint mode selection and user association, and a distributed dual-based algorithm for complexity reduction.
Findings
Graph-based approach achieves global optimality.
Distributed algorithm performs nearly as well as the optimal.
Load balancing constraints improve resource efficiency.
Abstract
In this paper, we consider device-to-device (D2D) communication underlaying uplink cellular networks with multiple base stations (BSs), where each user can switch between traditional cellular mode (through BS) and D2D mode (by connecting proximity user), namely mode selection. We impose load balancing constraints on BSs to efficient resource usage. The joint problem of mode selection and user association is formulated as a combinatorial problem and NP-complete. We adopt a graph-based approach to solve the problem globally optimally in polynomial time. To further reduce complexity, we also propose a distributed algorithm based on dual method. We show that the proposed distributed algorithm achieves nearly the same performance as the proposed optimal graph based algorithm.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
