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Praise for Fundamentals of WiMAX

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80 Chapter 3 • The Challenge <strong>of</strong> Broadband Wireless Channelswhere N is the size <strong>of</strong> a cluster equivalent to the inverse <strong>of</strong> the frequency-reuse factor. Obviously,a higher value <strong>of</strong> Q reduces cochannel interference so that it improves the quality <strong>of</strong> the communicationlink and capacity. However, the overall spectral efficiency decreases with the size <strong>of</strong> acluster N; hence, N should be minimized only to keep the received SINR above acceptable levels.Since the background-noise power is negligible compared to the interference power in aninterference-limited environment, the received SIR can be used instead <strong>of</strong> SINR. If the number<strong>of</strong> interfering cells is N t , the SIR <strong>for</strong> a mobile station can be given bySI=SN I∑Iii=1, (3.25)where S is the received power <strong>of</strong> the desired signal, and I iis the interference power from the ithcochannel base station. The received SIR depends on the location <strong>of</strong> each mobile station andshould be kept above an appropriate threshold <strong>for</strong> reliable communication. The received SIR at thecell boundaries is <strong>of</strong> great interest, since this corresponds to the worst-interference scenario. Forexample, if the empirical pathloss <strong>for</strong>mula given in Equation (3.10) and universal frequency reuseare considered, the received SIR <strong>for</strong> the worst case given in Figure 3.6 is expressed asSI=0χ02511−α−α∑ i2 ∑ i(2.633) ∑ ii=1i=3i=6χ + χ + χ +χ, (3.26)where χ i denotes the shadowing from the ith base station. Since the sum <strong>of</strong> lognormal randomvariables is well approximated by a lognormal random variable [10, 27], the denominator can beapproximated as a lognormal random variable, and then the received SIR follows a lognormal distribution[5]. There<strong>for</strong>e, the outage probability that the received SIR falls below a threshold canbe derived from the distribution. If the mean and the standard deviation <strong>of</strong> the lognormal distributionare µ and σ s in dB, the outage probability is derived in the <strong>for</strong>m <strong>of</strong> Q function asPo⎛ γ − µ ⎞= Q⎝⎜ σ ⎠⎟s, (3.27)where γ is the threshold SIR level in dB. Usually, the SINR at the cell boundaries is too low toachieve the outage-probability design target if universal frequency reuse is adopted. There<strong>for</strong>e, alower frequency-reuse factor is typically adopted in the system design to satisfy the target outageprobability at the sacrifice <strong>of</strong> spectral efficiency.Figure 3.7 highlights the OCI problem in a cellular system if universal frequency reuse isadopted. The figure shows the regions <strong>of</strong> a cell in various SIR bins <strong>of</strong> the systems with universalfrequency reuse and f =1/3frequency reuse. The figure is based on a two-tier cellular structureand the simple empirical pathloss model given in Equation (3.7) with α = 3.5.The SIR in mostparts <strong>of</strong> the cell is very low if universal frequency reuse is adopted. The OCI problem can be mit-

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