Resource Allocation for Weighted Sum-Rate Maximization in Multi-User Full-Duplex Device-to-Device Communications: Approaches for Perfect and Statistical CSIs

Yanjing Sun,Geyong Min,Song Li,Qiang Ni

doi:10.1109/access.2017.2751084

Abstract

In this paper, we investigate the resource allocation problem for multi-user full-duplex device-to-device (D2D) underlay communication, considering both perfect channel state information (CSI) and statistical CSI scenarios. In perfect CSI scenario, the weighted sum-rate maximization problem under cellular users’ minimum rate constraints is formulated as a mixed integer programming problem. To solve the challenging problem, we decouple it into two subproblems as power allocation and channel assignment. Then we proposed a power allocation algorithm based on difference of two convex functions programming and a channel assignment algorithm based on Kuhn–Munkres algorithm, respectively. In statistical CSI scenario, we formulate the resource allocation problem as an outage probability constrained weighted ergodic sum-rate maximization problem. To solve the problem, the closed-form expressions of outage probability and weighted ergodic sum-rate are derived first. Then we decouple resource allocation problem into power allocation and channel assignment. An optimization solution that consists of a 2-D global searching and Kuhn–Munkres algorithm is then developed. Simulation results demonstrate that the proposed algorithms can improve the weighted sum-rate of full-duplex D2D communications significantly both in perfect CSI and statistical CSI scenarios and confirm the accuracy of our derived closed-form expressions.

Highlights

With the rapid development of mobile communications, the tremendous growth of smart phones and mobile applications bring severe challenges to current mobile wireless cellular system [1], [2]
We propose OPtimal Power Allocation and OPtimal Channel Assignment algorithm with Perfect channel state information (CSI) (OPPA-OPCA-P), in which the power allocation is solved by Difference of Convex (DC) programming, while channel assignment is solved based on Kuhn–Munkres algorithm
The performance of OPPA-OPCA-P and OPPA-OPCA-S is compared with three benchmarks: Exhaustive Searching (ES), EQual Power Allocation and OPtimal Channel Assignment (EQPA-OPCA), EQual Power Allocation and RAndom Channel Assignment (EQPA-RACA)

Summary

Introduction

With the rapid development of mobile communications, the tremendous growth of smart phones and mobile applications bring severe challenges to current mobile wireless cellular system [1], [2]. In traditional D2D communication, which is referred to as half-duplex D2D communication in this paper, each. By reusing the same spectrum resources with cellular links, D2D transmitter sends signals to D2D receiver, as an underlay to cellular networks, which can potentially improve network capacity and spectrum efficiency. If the spectrum resources are not properly allocated, co-channel interference between cellular users and D2D users causes performance degradation. Resource allocation becomes one of the critical issues for D2D underlay communications [6]. To tackle this challenging problem, various resource allocation issues in half-duplex D2D communication networks has been extensively explored previously to enhance

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Results

Conclusion