Title :
Resource allocation in LTE-Advanced Network: A collaborative market game approach
Author :
Egena Onu;Omar Alani
Author_Institution :
School of Computing Science and Engineering, The University of Salford, Salford, United Kingdom
Abstract :
The essence of high Quality of Service (QoS) provisioning in any network is centred on optimization which can be approached from different perspectives depending on the network operator´s target and Key Performance Indicator (KPI) parameter tweaking ability. In this article, we present a collaborative resource allocation technique using the Market Game that utilizes the Shapley value solution concept which is a method used in the field of Political-Economy for fair distribution of resources as exemplified in a welfare state. Modelled on the Long Term Evolution (LTE) Advanced Network, the results show an improvement in the throughputs achieved by users of the network.
Keywords :
"Resource management","Games","Collaboration","Quality of service","Long Term Evolution","Interference","Algorithm design and analysis"
Conference_Titel :
Computer Science and Electronic Engineering Conference (CEEC), 2015 7th
DOI :
10.1109/CEEC.2015.7332707