Evolving Femtocell Coverage Optimization Algorithms using Genetic Programming
13 September 2009
The use of a group of femtocells to jointly provide coverage in an enterprise environment introduces several challenges in the introduction of self-configuration and selfoptimization capabilities required for plug-and-play styles of deployment.
In this paper, an approach to automatically derive a distributed algorithm to dynamically optimize the coverage of a femtocell group using genetic programming is described.
The resulting evolved algorithm showed the ability to optimize the coverage well, and is able to offer increased overall network capacity compared with a fixed coverage femtocell deployment.
