Optimization of Resource Block Allocation with Genetic Algorithm in MIMO-OFDMA
Keywords:Resource Block, Genetic Algorithm, MIMO
The allocation of resource blocks is very important in wireless communication, there is an allocation of signal dimensions between users in the uplink and downlink channels. In recent years, wireless communications users are increasing day by day, but the challenge is that the available spectrum is very limited. In this article we will discuss the optimal allocation of resource blocks, which is one of the resources in MIMO-OFDMA, using the genetic algorithm (GA). The algorithm determines the number of resource blocks for each user and then transmits the results of the allocation to each user. This study will also compare the results of the allocation without and with the Genetic Algorithm (GA). The measurement parameters are carried out by changing several parameters: the number of users, the probability of mutation, the number of resource blocks and the probability of crossover. The results showed that with the use of Genetic Algorithm (GA) in the system there was an increase in the capacity value when compared to without GA. Therefore, optimization of resource blocks using Genetic Algorithm (GA) can improve system performance.
Andreas, F. M. (2011). Wireless Communications, 2nd ed. California. USA: Wiley.
Swaraj, Rimal, dkk. (2011). Dynamic Resource Allocation Algorithms for Cognitive Radio Systems. Department of Electronics and Communication Engineering National Institute of Technology: Rourkela.
Yenumula, B.R. (2007). Evolutionary Approach for Efficient Resource Allocation in Multi-User OFDM Systems. IEEE: USA, 2007.
Obilor, N., dkk. (2008). Dynamic Subcarrier Allocation for Single Carrier – Fdma Systems. EURASIP: England.
Sumanthi, K., Valarmathi, M. L. (2012). Adaptive Resource Allocation in MIMO-OFDMA based on Subcarrier Allocation (SA) and (GA). International Journal of Computer Applications, vol.49, no.19.
Sadam, S. Alagan, A. Kaamran, R. (2009). Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication Systems. IEEE Communiccations Surveys & Tutorials, vol. 11, no. 3.
Suyanto. (2005). Algoritma Genetika dalam MATLAB. Yogyakarta: Andi.
How to Cite
Copyright (c) 2021 Risenologi
This work is licensed under a Creative Commons Attribution 4.0 International License.