Mechanism-based resource allocation for multimedia transmission over spectrum agile wireless networks
Fattahi, A.R.
Fangwen Fu
van der Schaar, M.
Paganini, F.
Dept. of Electr. Eng., California Univ., Los Angeles, CA
This paper appears in: Selected Areas in Communications, IEEE Journal on Publication Date: April 2007
Volume: 25
,
Issue: 3
On page(s):
601
- 612
ISSN: 0733-8716
Digital Object Identifier: 10.1109/JSAC.2007.070410
Current Version Published: 2007-04-16
Abstract
We propose to add a new dimension to existing wireless multimedia systems by enabling autonomous stations to dynamically compete for communication resources through adjustment of their internal strategies and sharing their private information. We focus on emerging spectrum agile wireless networks, where developing an efficient strategy for managing available communication resources is of high importance. The proposed dynamic resource management approach for wireless multimedia changes the passive way stations are currently adapting their joint source-channel coding strategies according to available wireless resources. Each wireless station can play the resource management game by adapting its multimedia transmission strategy depending on the experienced channel conditions and user requirements. The resource allocation game is coordinated by a network moderator, which deploys mechanism-based resource management to determine the amount of transmission time to be allocated to various users on different frequency bands such that certain global system metrics are optimized. Subsequently, the moderator charges the various users based on the amount of resources it has allocated to them, in order to discourage them from being dishonest about their resource requirements. We investigate and quantify both the users' and the system performance when different cross-layer strategies, and hence users' levels of smartness, are deployed by wireless stations. Our simulations show that mechanism-based resource management outperforms conventional techniques such as air-fair time and equal time resource allocation in terms of the obtained system utility. They also provide insights that can guide the design of emerging spectrum agile network protocols and applications
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