Paper Info
Title
Access Control for Machine-Type Communication Assisted by D2D in Heterogeneous Networks
Abstract
The forthcoming mobile cellular networks (5G) and beyond need to address the challenges of performance requirements in diverse technical scenarios, such as seamless wide-area coverage, hot-spot high-capacity, and low power massive connections, etc. It is widely recognized that Heterogeneous Network (HetNet) is an effective network architecture for addressing these challenges, especially dealing with the access control issue of massive machine-type communication (mMTC). In this paper, we propose a device-to-device (D2D) communication-assisted MTC access mechanism with aim of maximizing the number of admitted MTCDs (MTCDs) in the system while ensuring the quality of service (QoS) requirements of MTCDs. In our proposed scheme, we first determine the access mode for the devices that fail in directly accessing the base station. Specifically, another MTCD which has been successfully connected to the base station (BS) is selected as the relay for a specific MTCD via device-to-device (D2D) communications. We first formulate the access control problem of maximizing the number of admitted MTCDs and prove its NP-hardness. We then resort to genetic algorithm (GA) to solve the optimal relay MTCD selection problem. We conduct simulation experiments to evaluate the performance of our proposed algorithm and numerical results show that the proposed algorithm outperforms the traditional algorithms in terms of the number of successful access MTCDs, transmission rate, and system throughput.
Year
DOI
Venue
2020
10.1109/WCNCW48565.2020.9124798
2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
Keywords
DocType
ISSN
Machine-type Communication,Heterogeneous Network,Genetic Algorithm,D2D
Conference
2167-8189
ISBN
Citations 
PageRank 
978-1-7281-5178-6
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Qijun Han100.34
Gang Feng213416.96
Shuang Qin316220.60
Qianyi Zhang400.34