Development Simulation and Analysis of Resource Allocation Techniques for Cooperative Wireless Network

Abstract

Wireless Communication has witnessed tremendous growth in last decade. Variety of newer applications encompassing every walks of life are emerging based on wireless communication platform. However, channel interference, fading, providing high speed reliable and secured communication are still the challenges which prevent the wireless communication systems from fulfilling the demands of novel applications. Cooperative communication has shown the capability of making wireless communication ready for challenging applications of the next generation. In cooperative communication wireless nodes cooperate with each other to create virtual spatial diversity to yield the benefits of diversity combining without using multiple antennas. Duplication of transmission, wastage of resources, increased interference, increased traffic and selfish behaviour of the node are the challenges which are the hurdles in the path of implementation of cooperative protocols in the wireless network. Appropriate mechanism of resource allocation can be employed to resolve many issues in the cooperative network. newlineResource allocation mechanisms are evolved in this thesis for Centralized, Semi-distributed and Distributed environment. In order to achieve improved data rate in centralized network, transmission power of source and relay and bandwidth are the resources considered for judicious allocation. Three approaches are developed to yield efficiency-fairness trade-off in the network as (a) Utility function based (b) Resource constraint based, and (c) E-F function based approach. A generic utility function is developed to allocate resources to achieve five types of allocation: (i) efficient, (ii) proportional fair, (iii) min-max fair, (iv) minimum delay fair, and (v) desired degree of trade-off between efficiency and fairness. Performance of all approaches are evaluated by extensive simulations. The results exhibits that the proposed approaches are capable to allocate the resources to increase the data rate of users compared to non-coopera