Improving the Capacity in Wireless Networks Through Integrated Channel Base Station and Power Assignment

The limited availability of radio frequency spectrum will require the future wireless systems to use more eecient and sophisticated resource allocation methods to increase network capacity. In this work we propose a Joint Resource Allocation Algorithm (JRAA) that makes the channel base station and power assignment in a wireless network with arbitrary number of base stations and mobiles attempting to minimize the number of channels needed to provide each user in the system an acceptable radio connection. We compare the performance of the JRAA for both the forward (downstream) and reverse (upstream) directions, in terms of the achievable traac capacity, with some bounds on the performance of the maximum packing, clique packing and reuse partitioning techniques, that are usually used as benchmarks on the capacity that can be achieved by any traac-adaptive dynamic channel assignment strategy where the quality is guaranteed by the reuse distance. Those performance results verify the improvement that can be achieved by the integration of the channel base station and power assignment. Finally several versions of the two-way channel assignment problem are studied and evaluated.