Optimum Resource Allocation in Orthogonal Frequency Division Multiplexing Communication System using Fuzzy Rule Base System and Particle Swarm Optimization and Comparison with Conventional other Techniques
Автор: Farhana Mustafa, Padma Lohiya
Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Статья в выпуске: 6 Vol.5, 2015 года.
Бесплатный доступ
OFDM is a technique that is chosen for high data rate communication and is important for 4th generation communication systems. To provide best possible quality of service, intelligent allocation of resources such as power, bandwidths are necessary. Various algorithms have been proposed for allocation of resources. Fuzzy Rule Based System (FRBS) and Particle Swarm Optimization (PSO) algorithm are used for optimization of code rate, modulation and power. FRBS is used to choose the best possible modulation and code rate and PSO is used for better power allocation.
OFDM, Fuzzy rule base system, Particle swarm optimization, Resource allocation
Короткий адрес: https://sciup.org/15012918
IDR: 15012918
Список литературы Optimum Resource Allocation in Orthogonal Frequency Division Multiplexing Communication System using Fuzzy Rule Base System and Particle Swarm Optimization and Comparison with Conventional other Techniques
- Y.Wu and W.Y.Zou, "Orthogonal frequency division multiplexing: A multi-carrier modulation scheme," IEEE Trans. Consumer Electronics, vol.41, no. 3, pp. 392-399, Aug. 1995.
- W.Y. Zou and Y.Wu, "COFDM: An overview", IEEE Trans. Broad-casting, vol.41, no. 1, pp.1-8, Mar. 1995.
- Derrick Wing Kwan Ng, Ernest S. Lo, and Robert Schober, "Energy-Efficient Resource Allocation in Multiuser OFDM Systems with Wireless Information and Power Transfer" University at Erlangen-N¨urnberg, Germany, 2010.
- Wong, I.e.; Zukang Shen; Evans B.L., Andrews lG., "A low complexity algorithm for proportional resource allocation in OFDMA systems", Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA, 2004.
- Wong, I.e.; Zukang Shen; Evans B.L., Andrews lG., "A low complexity algorithm for proportional resource allocation in OFDMA systems", Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA, 2004.
- Reddy, Y.B.; Gajendar, N.; Taylor, Portia; Madden, Damian, "Computationally Efficient Resource Allocation in OFDM Systems: Genetic Algorithm Approach", Dept of Math & Comput. Sci., Grambling State Univ., LA, 2007, pp 3 6 - 4 1.
- Rajendrasingh Annauth1, Harry C.S.Rughooputh," OFDM Systems Resource Allocation using Multi-Objective Particle Swarm Optimization", International Journal of Computer Networks & Communications (IJCNC) Vol.4, No.4, July 2012
- Atta-ur-Rahman, Qureshi I.M., Malik A.N., "A Fuzzy Rule Base Assisted Adaptive Coding and Modulation Scheme for OFDM Systems", J. Basic Appl. Sci. Res. Vol. 2(5), pp. 4843-4853, 2012.
- J.Kennedy and R.C. Eberhart, "Particle Swarm Optimization", Proceedings of IEEE Conference on Neural Networks, Pages 1942 1948, 1995.
- S.Gheitanchi et al., "Particle Swarm Optimization for Resource Allocation in OFDMA", Proc. International Conference on digital Signal Processing, 2007.
- Atta-ur-Rahman, Qureshi I.M. and Muzaffar M.Z. "Adaptive Coding and Modulation for OFDM Systems using Product Codes and Fuzzy Rule Base System". International Journal of Computer Applications (IJCA), Vol. 35(4), pp. 4 1 -48, December 2011.
- Atta-ur-Rahman, Qureshi T.M., Malik A.N., "Adaptive Resource Allocation in OFDM Systems using GA and Fuzzy Rule Base System", World Applied Sciences Journal, Vol. 1 8(6), pp. 83 6-844, 2012.
- Atta-ur-Rahman," Optimum Resource Allocation in OFDM Systems using FRBS and Particle Swarm Optimization" iBarani Institute of Information Technology, Rawalpindi, Pakistan Institute of Signals, Systems and Soft-computing (lSSS), Islamabad, Pakistan.
- Farhana Mustafa and Padma Lohiya. Article: Survey of Optimum Resource Allocation in OFDM Communication System. IJCA Proceedings on National Conference on Emerging Trends in Advanced Communication Technologies NCETACT 2015(4):10-13, June 2015.
