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Optimum Resource Allocation in OFDM Systems using FRBS and Particle Swarm Optimization

Optimum Resource Allocation in OFDM Systems using FRBS and P...

引用

World Congress on Nature and Biologically Inspired Computing (NaBIC)

作者： Atta-ur-Rahman Barani Inst Informat Technol Rawalpindi Pakistan

ISBN: (纸本)9781479914159

Optimum allocation of resources is demand of every modern communication system. In this way the transmission parameters like code rate, modulation size and power are optimally chosen to enhance the overall system throughput while satisfying certain constraints at the same time. A similar constrained optimization problem is focused for OFDM environment and solved by proposed Fuzzy Rule Based System (FRBS) and Particle Swarm Optimization (PSO). In this proposal FRBS is used for adapting code rate and modulation size while PSO is used for adaptive power. Significance of the proposed scheme is shown through the simulations.

关键词： component PSO OFDM FRBS BER Adaptive modulation and Coding modulation code pair

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A Fuzzy Rule Base System Aided Rate Enhancement Scheme for OFDM Systems

A Fuzzy Rule Base System Aided Rate Enhancement Scheme for O...

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15th IEEE International Multitopic Conference (INMIC)

作者： Atta-ur-Rahman Qureshi, Ijaz Mansoor Malik, Aqdas Naveed Naseem, Muhammad Tahir ISRA Univ SEAS Islamabad Pakistan

ISBN: (纸本)9781467322522;9781467322492

Adaptive communication is one the key attributes of almost all communication systems nowadays. In this way, available resources are optimally used to enhance the overall throughput of system while satisfying certain constraints. In this paper a similar constrained optimization problem is formulated. A fuzzy rule based system (FRBS) is designed and used for solution of the problem. The parameters being optimized for the system are forward error correction (FEC) code and modulation scheme. FRBS suggests how to change these parameters according to varying channel state information (CSI) on Orthogonal Frequency Division Multiplexing (OFDM) channel that throughput can be maximized. Multilevel codes, Quadrature Amplitude modulation (QAM) are used as FEC and modulation scheme respectively. Moreover, a modified iterative algorithm is used for decoding the multilevel codes. Significance of proposed scheme is shown by simulations

关键词： component OFDM FRBS BER ACM modulation code pair Multi-level codes MIDA

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A GA-FRBS based Rate Enhancement Scheme for OFDM based Hyperlans

A GA-FRBS based Rate Enhancement Scheme for OFDM based Hyper...

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10th International Conference on Frontiers of Information Technology (FIT)

作者： Atta-ur-Rahman Qureshi, Ijaz Mansoor Naseem, Muhammad Tahir Muzaffar, Muhammad Zeeshan ISRA Univ Sch Engn & Appl Sci SEAS Hyderabad Andhra Pradesh India

ISBN: (纸本)9780769549279

Adaptive communication is need and feature of every current communication system. In this technique the transmission parameters are adapted in such a way that overall system throughput may be enhanced while satisfying certain number of constraints. In short this is a constrained optimization problem. In this paper a similar constrained optimization problem is focused and solved by making certain parameters adaptive that are code rate, modulation scheme and transmit power in a multicarrier OFDM environment. For adapting the said parameters a Fuzzy Rule Base System (FRBS) is used in conjunction with Genetic Algorithm (GA). So FRBS and GA suggest the optimum code rate, modulation symbol and power with respect to the channel state information (CSI) given at any instance that can maximize the throughput while satisfying constraints like power and bit error rate (BER). Product codes and Quadrature Amplitude modulation (QAM) are used as coding and modulation schemes respectively. Simulation results show the significance of proposed scheme.

关键词： component GA OFDM FRBS BER ACM modulation code pair Product codes

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Adaptive Resource Allocation for OFDM Systems using Fuzzy Rule Base System Water-filling Principle and Product codes

Adaptive Resource Allocation for OFDM Systems using Fuzzy Ru...

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12th International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Atta-ur-Rahman Qureshi, Ijaz Mansoor Naseem, Muhammad Tahir ISRA Univ SEAS Islamabad Pakistan

ISBN: (纸本)9781467351171;9781467351188

Adaptive resource allocation is one the key characteristics of almost all communication systems nowadays. In this technique, available resources are optimally used to enhance the overall throughput of system while satisfying certain number of constraints. In this paper a similar constrained optimization problem is formulated and a fuzzy, rule based system (FRBS) is designed and used for solution of the problem. The parameters being optimized for the system are practical channel codes, modulation symbol and the transmit power. FRBS suggests how to change coding scheme and modulation symbol while water-filling algorithm suggests the adaptive power according to varying channel state information in Orthogonal Frequency Division Multiplexing (OFDM) channel so that throughput can be maximized. Product codes, Quadrature Amplitude modulation (QAM) are used as FEC and modulation scheme respectively. Moreover, a modified iterative algorithm is used for decoding the product codes. Significance of proposed scheme is shown by simulations.

关键词： component OFDM FRBS BER ACMP modulation code pair Product codes MIDA Water-filling

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