摘要 : We study the capacity of cellular systems withinterference-adaptation dynamic channel allocation (DCA) through a setof heuristics that evaluate the required number of channels for somemobile traffic pattern. In particular, we eval... 展开 We study the capacity of cellular systems withinterference-adaptation dynamic channel allocation (DCA) through a setof heuristics that evaluate the required number of channels for somemobile traffic pattern. In particular, we evaluate the improvement inthe reuse factor given the knowledge of the mobiles' locations. Assumingthat the mobiles' locations are sampled from the uniform randomdistribution or are fixed on a uniform grid, we show the effect of anumber of parameters, such as the number of mobiles per cell, theminimum allowable signal-to-interference ratio, and the limitedknowledge of mobiles' locations. We also investigate the effect ofshadow fading and signal-based power control. Although previous papershave proposed various heuristics with varying performance, we presentheuristics that are shown to give the maximum packing results based onour assumptions. In particular, the single-interferer assumption, usedthroughout our work, is justified and the optimality of the square-rootsignal-based power control is proven 收起