In this paper the problem of resource allocation for the downlink in code division multiple access wireless networks supporting multimedia services is addressed. A utility based power and rate allocation algorithm which aims at optimizing system's performance while satisfying multiple services' diverse quality of service (QoS) requirements is introduced and analyzed. For the efficient support of real-time users our proposed methodology takes into account their short-term throughput QoS constraints satisfaction, which is achieved by dynamically adapting their utility functions with respect to their corresponding short-term service performance information. Through modelling and simulation it is demonstrated that significant performance improvements are achieved in terms of the short-term throughput requirement satisfaction even for large number of real-time users, without any considerable loss in the total system's throughput.
"Recently, the benefits that emerge from allowing dynamic utilities alteration towards treating complex and dynamic networking mechanisms have been revealed. For instance, in order to efficiently treat and satisfy strict real-time services QoS prerequisites in a rapidly time-varying wireless environment via NUM, in  a dynamic utility adaptation framework is adopted in accordance to which a user's utility alters its form and attributes as the system evolves, based on time-varying metrics. An additional alternative in utility design comes from , where in order to develop a NUM framework for provisioning elastic services availability, a utility function with dynamically configurable parameters is introduced to represent the satisfaction perceived by different users upon service availability and source rate. "
[Show abstract][Hide abstract] ABSTRACT: In this paper a novel framework for extending QoS to QoE in wireless networks is introduced. Instead of viewing QoE as an off-line apriori mapping between users' subjective perspective of their service quality and specific networking metrics, we treat QoE provisioning as a dynamic process that enables users to express their preference with respect to the instantaneous experience of their service performance, at the network's resource management mechanism. Specifically, we exploit network utility maximization (NUM) theory to efficiently correlate QoE and user-application interactions with the QoS-aware resource allocation process, through the dynamic adaptation of users' service-aware utility functions. The realization of the proposed approach in a CDMA cellular network supporting multimedia services is demonstrated and the achieved benefits from both end-users' and operators' point of view are discussed and evaluated.
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE; 01/2011
"denotes the maximum weighted amount of data units an RT user i can receive within any time interval of (W i − 1) time slots, due to their downlink rate limitation R max i . Such a design attribute allows the reallocation of excess system resources to NRT users towards the desirable optimization of their throughput performance  . "
[Show abstract][Hide abstract] ABSTRACT: In this paper the problem of channel-aware opportunistic resource allocation for the downlink in CDMA wireless networks supporting simultaneously real-time multimedia and non-real-time data services is addressed. In order to treat different types of services with diverse QoS prerequisites through common optimization formulation a utility-based power and rate allocation framework is adopted. Emphasis is placed on real-time services' strict short-term QoS prerequisites, the fulfillment of which requires a significantly different treatment than the use of static utility functions, traditionally used to address long-term QoS or fairness prerequisites of delay-tolerant data services. To that end, we introduce a novel framework that enables the dynamic adaptation of real-time multimedia users' utilities as the system evolves, with respect to the corresponding short-term throughput service performance variations. The corresponding non-convex network utility maximization (NUM) problem is then formulated and solved, to obtain optimal power and rate allocation. Via simulation and analysis it is demonstrated that significant performance improvements are achieved in terms of real-time user's short-term throughput requirement satisfaction, without any considerable loss in total system throughput. Finally, essential tradeoffs between fulfilling real-time services' short-term QoS prerequisites and maximizing system performance, under an opportunistic scheduling wireless environment, are revealed and quantified.
EURASIP Journal on Wireless Communications and Networking 01/2010; 2010. DOI:10.1155/2010/375410 · 0.72 Impact Factor
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