A neural-network-based context-aware handoff algorithm for multimedia computing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An efficient Handoff call handling and queuing scheme using location information
WOC '08 Proceedings of the Eighth IASTED International Conference on Wireless and Optical Communications
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
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In this paper, we present a method for improving the quality of service (QoS) in multimedia wireless systems based on prioritization of handover requests. A strategy called signal strength for multimedia communications (SSMC) is proposed. In this strategy, we calculate a handoff priority for every multimedia service using three values: the static priority value, the degradation rate of the received signal strength (ΔRSS), and the RSS level itself. Then, each handoff request is queued and handled according to its priority value. We present the detailed algorithm and analyze its performance on a 25-cell network. Then, its performance is compared with other methods by simulations. The results indicate our method can effectively reduce the handoff call dropping probability compared to nonpriority schemes.