Optimization of Coverage for OFDMA Femtocell Networks Based on MADM

This paper addresses how to optimize the radio coverage area of OFDMA femtocell networks in enterprise deployment. Considering some basic requirements of coverage, including coverage holes, coverage overlaps, area spectral efficiency (ASE) and load balancing, the coverage optimization problem is modeled as a Multiple Attribute Decision Making (MADM) problem. Then the MADM-based coverage optimization problem is solved by the Gray relation analysis (GRA) method. Simulation results show that the proposed scheme can achieve a better ASE performance and effectively balance the traffic load amongst all femtocells, as well as obtaining a good tradeoff between coverage holes and coverage overlap. Meanwhile, the results of sensitive analysis also show that the coverage optimization is sensitive to the variation of weight values, and all the four attributes play an important role in the coverage optimization.