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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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5Distributed Power Control of <strong>Wireless</strong>Cellular <strong>and</strong> Peer-to-Peer <strong>Networks</strong>In many cases, data from ad hoc wireless <strong>and</strong> sensor networks are routedthrough a cellular infrastructure or a wired network such as an Internet.To meet the quality of service (QoS), one has to ensure performanceguarantees not only from the wireless network side but also from thewired network. In the previous chapter, admission-controller design wascovered for wired networks so as to meet a desired level of QoS. In thischapter, we treat QoS performance for wireless cellular networks viatransmitter power, active link protection, <strong>and</strong> admission-controllerdesigns. For wireless networks, besides throughput, packet loss, <strong>and</strong> endto-enddelay guarantee, energy efficiency is another QoS performancemetric. Energy efficiency, to a certain extent, can be attained by controllingtransmitter power, which is the central theme of this chapter.The huge commercial success of wireless communications along withthe emerging popularity of IP-based multimedia applications are themajor driving forces behind the next generation (3G/4G) evolutionwherein data, voice, <strong>and</strong> video are brought into wireless networks thatrequire diverse QoS. In such modern wireless networks, distributedpower control (DPC) of transmitters allows interfering communicationssharing the same channel to achieve the required QoS levels. Moreoverunlike in wired networks, the channel condition affects the network capacity<strong>and</strong> QoS; therefore, any power control scheme for wireless networks mustincorporate the time-varying nature of the channel.Available power control schemes (Bambos 1998, Bambos et al. 2000,Z<strong>and</strong>er 1992, Gr<strong>and</strong>hi 1994, Foschini <strong>and</strong> Miljanic 1993), are efficient incombating disturbances such as path loss <strong>and</strong> user interferences that areof small magnitude, whereas they are ineffective during the process ofrejecting channel uncertainty (additive white Gaussian vs. Rayleigh fadingchannels) <strong>and</strong> combating large disturbances because they render poorbit error rate (BER) although consuming excessive power. Assuring QoSrequires novel schemes that use accurate channel state information, toreject uncertainties (Rayleigh fading channels), to combat disturbances(path loss, interference), to route data <strong>and</strong> control packets while optimizingthe transmitter powers, <strong>and</strong> trading power <strong>and</strong> delay during deep177

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