DocumentCode :
1622504
Title :
Dynamic Resource Allocation of Delay Sensitive Users Using Interactive Learning over Multi-Carrier Networks
Author :
Shiang, Hsien-Po ; Tu, Wenchi ; Van der Schaar, Mihaela
fYear :
2008
Firstpage :
2502
Lastpage :
2506
Abstract :
In this paper, we study distributed solutions for joint power-spectrum resource allocation among delay sensitive users over multi-carrier networks. Our work differs from prior research in two ways. First, unlike prior works that only consider the impact of effective throughput of a user, our work also considers the source traffic characteristics of applications and applies queuing analysis to quantify the packet transmission delay, which is especially important to a delay sensitive user. Secondly, most prior works focus on the equilibrium of the decentralized solutions that usually require global information in a static network. Instead, we focus on interactive adaptation methods for users to dynamically maximize their expected utility based on the local observed information. We propose an interactive learning framework for users to adapt their power/channel selection to the wireless networks with interference coupling among users. Our simulation results show that the proposed interactive learning approach with information exchange among users improves the total utility significantly.
Keywords :
channel allocation; interference (signal); learning (artificial intelligence); queueing theory; resource allocation; wireless sensor networks; delay sensitive users; dynamic resource allocation; interactive learning; interference coupling; joint power-spectrum resource allocation; multicarrier networks; packet transmission delay; power/channel selection; queuing analysis; wireless networks; Communication system traffic control; Delay effects; Interference; Power control; Queueing analysis; Resource management; Telecommunication traffic; Throughput; Traffic control; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.474
Filename :
4533510
Link To Document :
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