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Cross-Layer Design, Analysis, and Optimization of QoS-Constrained AMC/ARQ-Based Wireless Networks

Cross-Layer Design, Analysis, and Optimization of QoS-Constrained AMC/ARQ-Based Wireless Networks

Jaume Ramis, Guillem Femenias
Copyright: © 2012 |Pages: 32
ISBN13: 9781466609600|ISBN10: 1466609605|EISBN13: 9781466609617
DOI: 10.4018/978-1-4666-0960-0.ch017
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MLA

Ramis, Jaume, and Guillem Femenias. "Cross-Layer Design, Analysis, and Optimization of QoS-Constrained AMC/ARQ-Based Wireless Networks." Using Cross-Layer Techniques for Communication Systems, edited by Habib F. Rashvand and Yousef S. Kavian, IGI Global, 2012, pp. 400-431. https://doi.org/10.4018/978-1-4666-0960-0.ch017

APA

Ramis, J. & Femenias, G. (2012). Cross-Layer Design, Analysis, and Optimization of QoS-Constrained AMC/ARQ-Based Wireless Networks. In H. Rashvand & Y. Kavian (Eds.), Using Cross-Layer Techniques for Communication Systems (pp. 400-431). IGI Global. https://doi.org/10.4018/978-1-4666-0960-0.ch017

Chicago

Ramis, Jaume, and Guillem Femenias. "Cross-Layer Design, Analysis, and Optimization of QoS-Constrained AMC/ARQ-Based Wireless Networks." In Using Cross-Layer Techniques for Communication Systems, edited by Habib F. Rashvand and Yousef S. Kavian, 400-431. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0960-0.ch017

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Abstract

In order to provide heterogeneous quality of service guarantees to applications, most wireless communications standards combine the error-correcting capability of (hybrid) automatic repeat request protocols at the data link control layer with the adjustment ability of adaptive modulation and coding strategies at the physical layer. In this chapter, a cross-layer multidimensional discrete-time Markov chain based queuing model is developed to jointly exploit the capabilities of (hybrid) automatic repeat request protocols and adaptive modulation and coding. Based on the stationary state probability distribution of this multidimensional discrete-time Markov chain, closed-form analytical expressions for performance metrics such as throughput, average packet delay, and packet loss rate are derived. Furthermore, the proposed analytical framework is used to formulate multidimensional and simplified two-dimensional constrained cross-layer optimization problems aiming at maximizing the system throughput under prescribed quality of service constraints.

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