Reallocation framework for wireless network using optimization techniques

Abstract

This thesis proposes a Hybrid Ant Colony Optimization technique with Modified Fit algorithm in order to improve the bandwidth, throughput and delay time. Recent mobile broadband technology, advanced long-term evolution (LTE-A) networks afford a wide range of data transmission services with numerous conditions. At present, Advanced Long Term Evaluation (LTE-A) is the prominent Orthogonal Frequency Division Multiple Access (OFDMA) wireless mobile broadband technology that provides high spectrum performance, low spacing and high peak data rates. Resource allocation for each user equipment (UE) is one of the major and most difficult issues on wireless communication networks, where resource blocks (RBs) can reduce the throughput in LTEA networks. To accomplish high speed and high data transfers, RBs are used by carriers collected on these networks to develop their frequencies. Initially, the proposed system extracts the channel quality information from the user/system. Secondly, with the help of Hybrid ACO-TS optimization algorithm, the selection and choosing process of UE and RB are done correspondingly. This algorithm professionally selects the UE with high data Tx rate and RB by choosing the CQI Index value. Then the resources are assigned to UE with the assistance of Modified Fit Algorithm. Finally, the obtained output is analyzed using the following performance measures: throughput, bandwidth and delay time. The proposed system provides better results for these parameters, minimum energy consumption and all works have been done in reduced cost. Particle Swarm Optimization-Tabu Search (PSO-TS) algorithm and Multiple Objective Particle Swarm Optimization-Tabu Search (MOPSO-TS) is also introduced that have been prolonged to solve numerous types of optimization problems. PSO-TS and MOPSO-TS algorithms has the ability to (i) approach the optimal region and (ii) simultaneously focus in order to find the optimum exactly. The main idea is to improve the throughput, bandwidth and delay in the LTE-A networks. newline