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Praise for Fundamentals of WiMAX

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6.3 Resource-Allocation Techniques <strong>for</strong> OFDMA 211P klLet , denote user k‘s transmit power in subcarrier l. The signal-to-interference-plusnoiseratio <strong>for</strong> user k in subcarrier l, denoted as SINR kl , , can be expressed asP h= .BL2kl , kl ,SINR kl , K2 2∑ Pjl,hkl,+ σj=1,j≠k(6.4)Using the Shannon capacity <strong>for</strong>mula as the throughput measure, 3 the MSR algorithm maximizesthe following quantity:K LP kl , k =1 l=1maxBlogL∑∑ +with the total power constraint P ≤ P .KL∑∑kl ,k=1 l=1tot( 1 SINRkl, ), (6.5)The sum capacity is maximized if the total throughput in each subcarrier is maximized.Hence, the maximum sum capacity optimization problem can be decoupled into L simpler problems,one <strong>for</strong> each subcarrier. Further, the sum capacity in subcarrier l, denoted as C l, can bewritten asCl⎛⎞K ⎜ P ⎟kl ,= ∑ log⎜1 +⎟ ,2k=1⎜σ B ⎟⎜ Ptot, l− Pk , l+2⎝h L ⎟⎠kl ,(6.6)where Ptot, l− Pk , l denotes other users’ interference to user k in subcarrier l. It is easy to showthat C lis maximized when all available power P tot,l is assigned to the single user with the largestchannel gain in subcarrier l. This result agrees with intuition: Give each channel to the userwith the best gain in that channel. This is sometimes referred to as a “greedy” optimization. Theoptimal power allocation proceeds by the waterfilling algorithm discussed previously, and thetotal sum capacity is readily determined by adding up the rate on each <strong>of</strong> the subcarriers.6.3.2 Maximum Fairness AlgorithmAlthough the total throughput is maximized by the MSR algorithm, in a cellular system such as<strong>WiMAX</strong>, in which the pathloss attenuation varies by several orders <strong>of</strong> magnitude between users,some users will be extremely underserved by an MSR-based scheduling procedure. At the alternative3. Throughout this section, we use the Shannon capacity <strong>for</strong>mula as the throughput measure. In practice,there is a gap between the achieved data rate and the maximum (Shannon) rate, which can besimply characterized with a SINR gap <strong>of</strong> a few dB. There<strong>for</strong>e, this approach to resource allocationis valid, but the exact numbers given here are optimistic.

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