Efficient Node Localization Technique in MIMO Networks using AMABC Optimization Algorithm

摘要

Device or node localization is one of the important issues to be resolved in 5G Utra-Dense network. Accurate measurement techniques using conventional Time of Arrival (ToA), Time Difference of Arrival (TDoA), Angle of Arrival (AoA) and Received Signal Strength Indicator (RSSI) can be adopted to enhance localization accuracy. However, with the introduction of MIMO to increase spectral efficiency, the techniques will not be very precise in term of localization error. In this paper, we propose an effective Adaptive Mutation based Artificial Bee Colony Algorithm (AMABC) optimization algorithm to reduce the BER (Bit Error Rate). Moreover, beam forming and equalization of the localization error is also computed for varying the number of nodes. The performance is assessed and compared with a GA algorithm in term of elapsed time and localization error for varying ranging errors up to 30%. The simulation results shown that the AMABC algorithm outperform GA algorithm in all simulation cases.