Title
Autonomous And Adaptive Congestion Control For Machine-Type Communication In Cellular Network
Abstract
Machine-type communications have suffered serious congestion, overload, and poor quality of service problems in cellular networks, since the cellular networks are designed for human-to-human communications. Moreover, current solutions just focus on the congestion for single base station and cannot adaptively work in the dynamic and complex conditions. In this article, we provide an autonomous and adaptive attractor-selection-based congestion control scheme for massive access from machine-type communication devices based on the resource separation scheme. First, we introduce a feasible and self-adaptive extended attractor-selection mechanism to decide which base station to be chosen. Simultaneously, an effective estimation algorithm for the traffic load of base stations is also designed to represent the network traffic load without frequent information exchanges among devices or base stations. With the available access resources and estimated traffic load taken into consideration, massive access attempts can receive the decisions via the broadcast and adaptively choose proper stations for alleviation of the congestion and overload. Finally, simulation results show that the proposed attractor-selection-based congestion control scheme achieves better performance in terms of average access delay, collision probability, and throughput of the whole system, adaptively accommodating to unpredictable environments under cellular networks.
Year
DOI
Venue
2019
10.1177/1550147719841869
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Massive machine-type communications, random-access procedure, attractor selection, congestion control, base station selection
Computer science,Computer network,Quality of service,Network congestion,Cellular network,Distributed computing
Journal
Volume
Issue
ISSN
15
4
1550-1477
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Qi Pan122.40
Qi Pan222.40
Xiangming Wen361882.20
Xiangming Wen461882.20
Zhaoming Lu584.25
Zhaoming Lu684.25
Wenpeng Jing75515.88
Wenpeng Jing85515.88
Haijun Zhang931.37