The Study Of Wireless Resource Management And NS3Simulation In Relay Aided OFDMA Networks

By deploying the Relay Station (RS), the LTE-A cell can significantly improve thesystem throughput and coverage. However, at the same time, interference situation isintensified since the introduction of more links, such as RS-UE、RS-RS and BS-RS. Asa result, radio resource management becomes an urgent and important problem thatshould be tackled effectively in this network.Firstly, in this paper, a joint power and subchannel allocation algorithm is proposedto maximize the throughput on the relay aided OFDMA cellular network, meanwhileminimizing the bandwidth. The method of Bender Decomposition is employed todecompose the complex problem into two subprobelms: subchannel allocationsubproblem and power allocation subproblem. Then, an iteration algorithm between thetwo subproblems is implemented to acquire the optimal results.Due to the number of RS is relative large while its coverage is small, we conceivea graph based subchannel reuse problem among RS-UE links in the relay aidedOFDMAcelluar networks. By deploying the smart RS which is enabled to broadcast thepilots, two different mechanisms are proposed to construct the global interferencematrix, which map the reuse problem into a graphic problem, and then solved by theproposed GBR (Graphic Based Reuse) algorithm. Further, a distributed powerallocation strategy is introduced to allocate the power to maximize the systemthroughput under the power and users’ rate constraints.Finally, considering the drawbacks of the traditional Matlab simulation, we stimulatesome LTE resource allocation algorithms with the NS3simulation platform and evaluatetheir performance under different network scenarios.