New method for estimation of mobile location based on signal attenuation and hata model signal prediction.

This paper proposes a new algorithm, based on the received signal strength, for mobile location estimation. The algorithm, considering path loss and shadowing for the channel, estimates the distance between the mobile and the home and neighboring base stations, and computes an improved form of the weighted gravity center of the above estimated distances. Simulation results show that the mean error estimation of the mobile location obtained by the proposed algorithm is much smaller than that of the cell-ID, and it is at least 15% better than that of the weighted gravity center method.

A two-phase genetic K-means algorithm for placement of radioports in cellular networks.

This paper proposes a two-phase hybrid algorithm for optimal placement of radioports. The placement strategy minimizes the dynamic range of the channel, and thus reduces the peak transmit power needed by a wireless handset. The performance of the proposed algorithm is compared with that of an exhaustive search, as well as with that of a simplex algorithm.