Novel cell selection algorithm for improving average user's effective data rate in LTE HetNets

Abstract

Cell selection algorithms are considered one of crucial features in LTE-Heterogeneous Networks (HetNets). Due to different downlink transmit power levels and randomness deployment of femtocells, achieving better user throughput and reducing the necessity of dynamic load balancing techniques require appropriate algorithms for selecting optimum serving cell. In this work, a new cell selection algorithm is proposed to enable new user to select best serving cell that achieves maximum effective achievable data rate. A new prediction algorithm is designed within the new proposed cell selection algorithm to predict the performance of Proportional Fair (PF) scheduling algorithm without running it after every Resource Block (RB), to calculate the expected degradation in theoretical new user's achievable data. The numerical results show that the new cell selection proposed algorithm achieves higher average cell throughput than conventional cell selection methods and maintains better balanced load between different adjacent cells.