Improving the capacity in wireless networks through integrated channel base station and power assignment

The limited availability of radio frequency spectrum will require future wireless systems to use more efficient 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 an arbitrary number of base stations and mobiles attempting to minimize the number of channels needed to provide each user in the system with 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 traffic capacity, with some bounds on the performance of the maximum packing (MP), clique packing (CP), and reuse partitioning (RP) techniques, which are usually used as benchmarks on the capacity that can be achieved by any traffic-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