Cross Layer Analysis Optimization And Design For Wireless Local Area Networks Wlans
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Cross-layer Analysis, Optimization and Design for Wireless Local Area Networks (WLANs)
An underlying assumption of the traditional layered protocol architecture is that all layers can be optimized independently. Unfortunately, this assumption is not satisfied in wireless networks because wireless links introduce interdependence between PHY and upper layers. This dissertation investigates the impact of channel conditions on the performance of IEEE 802.11 DCF and proposes cross-layer optimization and design approach to improve the performance of DCF in fade channels. First, novel fade-induced packet error rate expressions based on fading statistics and error correction capability are developed. Based on these results, we propose a cross-layer analytical model to analyze the performance of IEEE 802.11 DCF in fading channels. The impact of channel conditions on the DCF performance is revealed. Second, a viable cross-layer optimization and design approach to improve the performance of DCF in fading channels is proposed. By employing the practically measurable PHY information, the DCF can adapt its packet length to maximize the throughput. By deploying multiple antennas at PHY for the purpose of spatial diversity, fading-induced packet error rate is reduced and the DCF performance in fading channels is significantly improved. Ironically, in wireless networks, channel fading and path loss may degrade the signal quality at the receiver and cause fade-induced packet errors; however, they also result in capture effect phenomena to make it possible for some packets to be received successfully in the presence of collision. Well-known capture probability expressions exist for Rayleigh fading channels, i.e., non-line-of-sight environments. However, WLANs using DCF are supposed to be deployed in micro-cellular and pico-cellular environments where Ricean fading channels are more likely to exist. Therefore, we develop a new analytical expression for the capture probability for WLANs using DCF in Ricean fading channels. Furthermore, by incorporating the capture probability expression, we evaluate the DCF performance in fading channels with capture effect. Results show that, with capture effect, the performance of DCF in fading channels is better than that under ideal channel conditions without capture effect.
Adaptation and Cross Layer Design in Wireless Networks
Adaptive techniques play a key role in modern wireless communication systems. The concept of adaptation is emphasized in the Adaptation in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the application layer, and from cellular systems to next-generation wireless networks. Adaptation and Cross Layer Design in Wireless Networks is devoted to adaptation in the data link layer, network layer, and application layer. The book presents state-of-the-art adaptation techniques and methodologies, including cross-layer adaptation, joint signal processing, coding and networking, selfishness in mobile ad hoc networks, cooperative and opportunistic protocols, adaptation techniques for multimedia support, self –organizing routing, and tunable security services. It presents several new theoretical paradigms and analytical findings which are supported with various simulation and experimental results. Adaptation in wireless communications is needed in order to achieve high capacity and ubiquitous communications. The current trend in wireless communication systems is to make adaptation dependent upon the state of the relevant parameters in all layers of the system. Focusing on simplified cross layer design approaches, this volume describes advanced techniques such as adaptive resource management, adaptive modulation and coding, 4G communications, QoS, diversity combining, and energy and mobility aware MAC protocols. The first volume in the series, Adaptive Signal Processing in Wireless Communications (cat no.46012) covers adaptive signal processing at the physical layer.
Wireless Network Design
Author: Jeff Kennington
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-11-10
This book surveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver. The past two decades have seen a tremendous growth in the deployment and use of wireless networks. The current-generation wireless systems can provide mobile users with high-speed data services at rates substantially higher than those of the previous generation. As a result, the demand for mobile information services with high reliability, fast response times, and ubiquitous connectivity continues to increase rapidly. The optimization of system performance has become critically important both in terms of practical utility and commercial viability, and presents a rich area for research. In the editors' previous work on traditional wired networks, we have observed that designing low cost, survivable telecommunication networks involves extremely complicated processes. Commercial products available to help with this task typically have been based on simulation and/or proprietary heuristics. As demonstrated in this book, however, mathematical programming deserves a prominent place in the designer's toolkit. Convenient modeling languages and powerful optimization solvers have greatly facilitated the implementation of mathematical programming theory into the practice of commercial network design. These points are equally relevant and applicable in today’s world of wireless network technology and design. But there are new issues as well: many wireless network design decisions, such as routing and facility/element location, must be dealt with in innovative ways that are unique and distinct from wired (fiber optic) networks. The book specifically treats the recent research and the use of modeling languages and network optimization techniques that are playing particularly important and distinctive roles in the wireless domain.