Using adaptive linear prediction to support real-time VBR video under RCBR network service model
IEEE/ACM Transactions on Networking (TON)
Cross-Layer Scheduler Design with QoS Support forWireless Access Networks
Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Performance Evaluation of the IEEE 802.16 MAC for QoS Support
IEEE Transactions on Mobile Computing
Proceedings of the 14th ACM international conference on Mobile computing and networking
A Cross-Layer WiMAX Scheduling Algorithm Based on Genetic Algorithm
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
Resource allocation in 802.16j multi-hop relay systems with the user resource fairness constraint
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Using threshold-based PUSC for throughput enhancement in WiMAX OFDMA
LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
A Novel Scheduling Algorithm for Low and High Mobility Users in Multi-hop WiMAX Network
Wireless Personal Communications: An International Journal
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Resource allocation algorithms play the main role in provisioning high throughput in broad band wireless communications. The previous studies in WiMAX networks have considered either AMC or PUSC techniques for the resource allocation algorithms. In this way, AMC based algorithms have presented high throughput for low speed users. Conversely, PUSC based algorithms have not been affected by users' speed, whilst the throughput is low. To date, the importance of presenting proportional fair and maintaining the network throughput for the users with different speeds has not been acknowledged yet. This paper presents a novel opportunistic algorithm which is suitable for the users with different mobility speeds. The new algorithm uses two modes of AMC and PUSC simultaneously. The simulation results reveal that in comparison to similar algorithms, the proposed algorithm presents more proportional fair throughput when there are both high and low speed users.