DocumentCode :
3659771
Title :
SNR Based Master-Slave Dynamic Device to Device communication in underlay cellular networks
Author :
Giriraja C V;T K Ramesh
Author_Institution :
Department of ECE, AMRITA School of Engineering, AMRITA Vishwa Vidyapeetham, Bangalore, Karnataka, India
fYear :
2015
Firstpage :
2114
Lastpage :
2117
Abstract :
In cellular networks Device to Device (D2D) communication is used to improve the resource utilization and the throughput. SNR Based Master-Slave Dynamic D2D Communication Algorithm (SMSDCA) is proposed to improve the resource utilization of the cellular network and improved Quality of Service (QoS). It is achieved by allocating some User Equipment (UE) as master in that cluster based on SNR and energy, who communicates with base station and the other UE´s by using D2D. Other UE´s requesting for data in that cluster are made as slaves. SMSDCA uses dynamic management of clusters and devices. In this we are handling both static and dynamic users need. For non-data requests it allocates the channel as per existence but for data requests SMSDCA will be used. In this algorithm D2D channel will be allocated by base station. Energy of the device is computed based on activities of the user, i.e., voice calls, duration and number of data packets transferred. The master can be changed dynamically based on SNR, energy and movement of device in cluster limit. By using this, the new users requesting for data and users moving from neighboring clusters are taken care accordingly. In this paper MATLAB simulation results shows that by using this algorithm the throughput and number of users can be served will be increased in comparison with Interference aware graph based resource sharing scheme for D2D communication [3].
Keywords :
"Signal to noise ratio","Resource management","Base stations","Throughput","Heuristic algorithms","Clustering algorithms","Quality of service"
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN :
978-1-4799-8790-0
Type :
conf
DOI :
10.1109/ICACCI.2015.7275929
Filename :
7275929
Link To Document :
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