Novel resource allocation algorithm for improving reuse one scheme performance in LTE networks

The main challenge of LTE networks is to use unitary frequency reuse factor to achieve highest possible data throughput, however it leads to a severe interference affecting active users. Several interference mitigation techniques focus on bandwidth partitioning methods to avoid cell edge interference, although they improve user's average SINR, such techniques reduce maximum achievable data rate. In this work, we introduce a novel resource allocation algorithm utilizing reuse one scheme whereas users are scheduled so that interference between adjacent cells' users served at same time in same RBs is minimized. Furthermore to meet LTE networks' low latency target, a novel algorithm is designed to obtain the optimum allocation of users with better complexity compared to well-known combinatorial optimization algorithms. Simulation results show that new proposed resource allocation algorithm improves both cell edge users' throughput and total average throughput, and also achieves improved user's average SINR than classic reuse one scheme.