Development Of An Improved Scheduling Algorithm For Multicast Services Over Wimax Networks Using Particle Swarm Optimization Techniques
By ALIU Daniel | Cite
The challenge of optimal resource allocation to subscribers of mobile Worldwide Interoperability for Microwave Access (WiMAX) has not been fully overcome by researchers. This research work developed an optimal scheduling algorithm for WiMAX resource allocation based on an improved Particle Swarm Optimization (PSO) technique. In this work, an improved PSO based technique for allocating subcarriers and Orthogonal Frequency Division Multiplexing (OFDM) symbols to mobile WiMAX subscribers was developed using sub-group formation. The entire WiMAX network environment was sub-divided into 7 layers. Seven distinct modulation and coding schemes were used in transmitting packets to the subscribers located within the respective layers. The objective function was determined based on PSO for throughput maximization and channel data rate. An enhanced model for throughput maximization and channel data rate was developed by implementing an improved PSO based WiMAX resource allocation algorithm. Simulation of different scenarios of WiMAX multicast service to mobile subscribers for the evaluation of Aggregate Data Rate (ADR) and Channel Data Rate (CDR) for each scenario were carried out.The results obtained for the various layers and uniform distribution of users over the entire layers based on the performance evaluation of the improved algorithm for ADR were 350Mbps, 525Mbps, 700Mbps, 1050Mbps, 1050Mbps, 1400Mbps, 1575Mbps and 1398Mbps. Similarly, for CDR the results obtained were 6.98Mbps, 10.48Mbps, 13.97Mbps, 20.95Mbps, 20.95Mbps, 27.94Mbps, 31.5Mbps and 28Mbps. Validation was done by comparing the results obtained using the improved algorithm with those of Maximum Throughput Algorithm (MTA). The values of ADR obtained based on the published work of Araniti et al.,(2012) using the developed algorithm when users were randomly distributed and restricted to exist within each of the layers 1, 4 and 7 were 694Mbps, 175Mbps, 525Mbps and 788Mbps. Similarly, the results obtained for the CDR were 13.9Mbps, 3.5Mbps, 10.5Mbps and 15.8Mbps. The corresponding values for the MTA were 400Mbps, 100Mbps, 400Mbps, 500Mbps and 12.5Mbps, 2.5Mbps, 12.5Mbps, 12.5Mbps, respectively. ADR of 694Mbps was achieved, which represented 88.88% of the maximum achievable ADR of the system as compared to 400Mbps, which represented 80% of the maximum achievable ADR obtained using MTA. This showed that the developed algorithm performed better than the MTA by 8.88%.
- The aim of this research work is to develop an improved scheduling algorithm for multicast services over WiMAX networks using PSO technique, with a view to maximizing Aggregate Date Rate (ADR) and Channel Data Rate (CDR).
- The objectives of the research are as follows:
- To develop a model for WiMAX network environment and throughput, CDR evaluation, as well as an optimal scheduling algorithm for WiMAX multicasting based on improved PSO technique.
- To simulate various scenarios of WiMAX multicast service to mobile subscribers to maximize ADR and CDR;
- To validate the performance of the developed model by comparing the results obtained with those of the Maximum Throughput Algorithm (MTA).
1.0 INTRODUCTION:
This chapter introduces the Development Of An Improved Scheduling Algorithm For Multicast Services Over Wimax Networks Using Particle Swarm Optimization Techniques and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis [INTRO29859]…
2.0 INTRODUCTION:
This chapter provides the background and context of the research problems, reviews the existing literature on the Development Of An Improved Scheduling Algorithm For Multicast Services Over Wimax Networks Using Particle Swarm Optimization Techniques, and acknowledges the contributions of scholars who have previously conducted similar research [REV29859] …