Clustering Optimization for Out-of-Band D2D Communications

Significant increase in multimedia traffic challenges 5G networks in terms of capacity and correspondent QoS parameters. Device-to-device communication paradigm has already become an integral part of 3GPP standards; nevertheless it has not yet been widely deployed due to many different reasons. D2D...

Full description

Saved in:
Bibliographic Details
Published inWireless communications and mobile computing Vol. 2017; no. 2017; pp. 1 - 11
Main Authors Kirichek, R., Koucheryavy, A., Samouylov, K., Hussain, O., Paramonov, A., Koucheryavy, Y.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
Hindawi
Hindawi Limited
Subjects
Algorithms
Clustering
Communication
Communications networks
Efficiency
Multimedia
Optimization
Performance evaluation
Quality of service
Resource utilization
Simulation
Traffic capacity
Wireless networks
Online AccessGet full text

Cover

More Information
Summary:Significant increase in multimedia traffic challenges 5G networks in terms of capacity and correspondent QoS parameters. Device-to-device communication paradigm has already become an integral part of 3GPP standards; nevertheless it has not yet been widely deployed due to many different reasons. D2D is expected to leverage implementation of many qualitatively new services and to efficiently accomplish it D2D devices are supposed to form clusters. Due to practical limitations, current D2D implementations are mostly out-of-band and use Wi-Fi Direct. In this paper, we propose a novel model for throughput optimization in out-of-band D2D clusters. We delivered numerical results for different typical cluster member distributions and revealed key functional dependencies. Further, for the first time we compare clustering algorithms for out-of-band D2D and identify effective clustering algorithm that increases network resource utilization rate.
ISSN:1530-8669
1530-8677
DOI:10.1155/2017/6747052