A phased resource allocation algorithm for full‐duplex device‐to‐device communications underlaying cellular networks

Author:

Li Liang1ORCID,Yang Xinjie123ORCID,Ma Nan2,Xiao Pei4

Affiliation:

1. Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China

2. State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications) Beijing China

3. Ningbo ArrowDeep Internet Technology Co., Ltd. Ningbo China

4. 5GIC & 6GIC, Institute for Communication Systems (ICS) University of Surrey Guildford U.K.

Abstract

AbstractDevice‐to‐device (D2D) and full duplex (FD) technologies demonstrate immense potentials to improve the spectral efficiency of wireless networks. However, their synergistic combination to reap added benefits is proved to be technically challenging. This letter investigates the throughput‐maximization resource allocation problem for FD D2D communications underlaying cellular networks. The problem is decoupled into two subproblems, namely power allocation and channel assignment, which are solved by using a novel quadratic transform based scheme and the Kuhn–Munkres algorithm, respectively. Simulation results show that the proposed algorithm outperforms existing ones in terms of overall system throughput.

Funder

Natural Science Foundation of Ningbo

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning Based Resource Allocation for Full-duplex Device-to-Device Communication;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

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