JOURNAL ARTICLE

Energy-efficient resource allocation in shared full-duplex relaying cellular networks

Abstract

Recent advances of self-interference cancellation techniques enable full-duplex relaying (FDR) systems, which transmit and receive simultaneously in the same frequency band with high spectrum efficiency. Unlike most existing works, we study the problem of energy efficient resource allocation in FDR networks. We consider a shared FDR deployment scenario, where a FDR relay is deployed at the intersection of three sectors in a cell. Firstly, a simple but practical transmission strategy is proposed to deal with the involved interferences, i.e., multi-access interference, multi-user interference and self-interference. Then, the joint resource allocation problem is formulated to maximize the network-level energy efficiency while taking the residual self-interference into account. Since the formulated problem is a mixed combinatorial and non-convex problem, we use Dinkelbach and discrete stochastic optimization methods to solve it efficiently. Simulation results are presented to show the effectiveness of the proposed scheme.

Keywords:
Computer science Resource allocation Relay Efficient energy use Interference (communication) Spectral efficiency Convex optimization Optimization problem Mathematical optimization Single antenna interference cancellation Resource management (computing) Cellular network Radio resource management Intersection (aeronautics) Computer network Wireless Wireless network Telecommunications Regular polygon Decoding methods Algorithm Mathematics Engineering

Metrics

6
Cited By
0.55
FWCI (Field Weighted Citation Impact)
26
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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