TAILIEUCHUNG - Báo cáo hóa học: "Research Article Decentralized Utility Maximization in Heterogeneous Multicell Scenarios with Interference Limited and Orthogonal Air Interfaces"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Decentralized Utility Maximization in Heterogeneous Multicell Scenarios with Interference Limited and Orthogonal Air Interfaces | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2009 Article ID 104548 12 pages doi 2009 104548 Research Article Decentralized Utility Maximization in Heterogeneous Multicell Scenarios with Interference Limited and Orthogonal Air Interfaces Ingmar Blau 1 Gerhard Wunder 1 Ingo Karla 2 and Rolf Sigle2 1Fraunhofer German-Sino Lab for Mobile Communications MCI Fraunhofer-Institute for Telecommunications Heinrich-Hertz-Institut Einsteinufer 37 10587 Berlin Germany 2Bell Labs Alcatel-Lucent Deutschland AG 70435 Stuttgart Germany Correspondence should be addressed to Ingmar Blau blau@ Received 6 August 2008 Revised 18 November 2008 Accepted 6 January 2009 Recommended by Mohamed Hossam Ahmed Overlapping coverage of multiple radio access technologies provides new multiple degrees of freedom for tuning the fairnessthroughput tradeoff in heterogeneous communication systems through proper resource allocation. This paper treats the problem of resource allocation in terms of optimum air interface and cell selection in cellular multi-air interface scenarios. We find a close to optimum allocation for a given set of voice users with minimum QoS requirements and a set of best-effort users which guarantees service for the voice users and maximizes the sum utility of the best-effort users. Our model applies to arbitrary heterogeneous scenarios where the air interfaces belong to the class of interference limited systems like UMTS or to a class with orthogonal resource assignment such as TDMA-based GSM or WLAN. We present a convex formulation of the problem and by using structural properties thereof deduce two algorithms for static and dynamic scenarios respectively. Both procedures rely on simple information exchange protocols and can be operated in a completely decentralized way. The performance of the dynamic algorithm is then evaluated for a heterogeneous UMTS GSM scenario showing high-performance gains in comparison

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