Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems

Abstract

<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">Orthogonal Frequency Division Multiplexing is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capabilities in the future cellular systems. To minimize the overall transmit power, the genetic algorithm approach was proposed for adaptive subcarrier and bit allocation based on channel state information. This is done by assigning one subcarrier for one user and each user a set of subcarriers and by determining the number of bits and the transmit power level for each subcarrier. The simulation results show that genetic algorithm approach produces better results compared to conventional algorithms in optimum power allocation. The results further conclude that genetic search helps fast convergence and can handle large allocations of subcarriers to users (many subcarriers to one user) without performance degradation.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p&gt

Margin adaptive resource allocation for multiuser OFDM systems by modified Particle Swarm Optimization and Differential Evolution

“…al. introduced Genetic Algorithm (GA) in resource allocation with significant improvements [9]. [10] applies Particle Swarm Optimization (PSO) in allocating multi-user OFDM resources with some improvements.…”

Evolutionary Approach to jointly resolve the Power and the Capacity Optimization problems in the multi-user OFDMA Systems

“…The resolution of the resources allocation problem in multi-users case is proposed in [3] [5]. About the heuristic methods, Zhou et al [17], Ahmadi et al [1] and Reddy et al [12] proposed the genetic algorithms approach for the resources allocation problem.…”

Adaptive resource allocation for SDMA-OFDMA systems with genetic algorithm

“…In the classical GA, the initial population is generated randomly. In [6] and [7], for multiuser OFDM systems, a chromosome that minimizes the transmit power is added to the initial population in order to reduce the number of iterations. In this paper, we propose to reduce the number of iteration and consequently the convergence time by adding a special chromosome that maximize the sum data rate to the initial population.…”

“…In order to reduce to convergence time of GA, an initial condition is proposed in [6] considering efficiency (when allocating, the users that have the highest channel gain are preferred since they demand less power) and fairness (a number of subcarriers are allocated to each user without considering their channel gains) criteria. In [7], the GA parameters are adapted during the iteration process to reduce the convergence time.…”

“…In [5], a resource allocation solution that reaches the optimum solution with reduced complexity to maximize sum data rate is described by considering capacity calculations. Furthermore, a subcarrier and bit allocation by using genetic algorithm (GA) is presented in [6] and [7] for the problem of the total transmit power minimization with fixed rate constraints . In order to reduce to convergence time of GA, an initial condition is proposed in [6] considering efficiency (when allocating, the users that have the highest channel gain are preferred since they demand less power) and fairness (a number of subcarriers are allocated to each user without considering their channel gains) criteria.…”