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Resource Allocation and QoS Provisioning for Wireless Relay Networks

Resource Allocation and QoS Provisioning for Wireless Relay Networks

Long Bao Le, Sergiy A. Vorobyov, Khoa T. Phan, Tho Le-Ngoc
Copyright: © 2010 |Pages: 26
ISBN13: 9781615206803|ISBN10: 1615206809|ISBN13 Softcover: 9781616922351|EISBN13: 9781615206810
DOI: 10.4018/978-1-61520-680-3.ch007
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MLA

Le, Long Bao, et al. "Resource Allocation and QoS Provisioning for Wireless Relay Networks." Quality of Service Architectures for Wireless Networks: Performance Metrics and Management, edited by Sasan Adibi, et al., IGI Global, 2010, pp. 125-150. https://doi.org/10.4018/978-1-61520-680-3.ch007

APA

Le, L. B., Vorobyov, S. A., Phan, K. T., & Le-Ngoc, T. (2010). Resource Allocation and QoS Provisioning for Wireless Relay Networks. In S. Adibi, R. Jain, S. Parekh, & M. Tofighbakhsh (Eds.), Quality of Service Architectures for Wireless Networks: Performance Metrics and Management (pp. 125-150). IGI Global. https://doi.org/10.4018/978-1-61520-680-3.ch007

Chicago

Le, Long Bao, et al. "Resource Allocation and QoS Provisioning for Wireless Relay Networks." In Quality of Service Architectures for Wireless Networks: Performance Metrics and Management, edited by Sasan Adibi, et al., 125-150. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-680-3.ch007

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Abstract

This chapter reviews fundamental protocol engineering aspects and presents resource allocation approaches for wireless relay networks. Important cooperative diversity protocols and their typical applications in different wireless network environments are first described. Then, performance analysis and QoS provisioning issues for wireless networks using cooperative diversity are discussed. Finally, resource allocation in wireless relay networks through power allocation for both single and multi-user scenarios are presented. For the multi-user case, we consider relay power allocation under different fairness criteria with or without user minimum rate requirements. When users have minimum rate requirements, we develop a joint power allocation and addmission control algorithm with low-complexity to circumvent the high complexity of the underlying problem. Numerical results are then presented, which illustrate interesting throughput and fairness tradeoff and demonstrate the efficiency of the proposed power control and addmission control algorithms.

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