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dc.contributor.authorChang, Chung-Juen_US
dc.contributor.authorChiu, Yinen_US
dc.contributor.authorFeng, Kai-Tenen_US
dc.contributor.authorRen, Fang-Chingen_US
dc.date.accessioned2019-04-02T06:04:35Z-
dc.date.available2019-04-02T06:04:35Z-
dc.date.issued2010-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/150548-
dc.description.abstractGenerally, optimization techniques for resource allocation of OFDMA systems are infeasible for real-time applications. In this paper, we propose a genetic algorithm with subscriber station (SS) grouping resource allocation (GGRA) scheme for IEEE 802.16 uplink systems. The GGRA scheme firstly designs a rate assignment strategy, applied with a predefined residual lifetime, to allocate resource to each service dynamically. It then aggregates high correlation SSs into the same group, where the SSs will be allocated to different slots so as to avoid mutual user interference. Finally, the GGRA scheme finds an optimal assignment matrix for the system by the genetic algorithm, based on the SS groups to greatly lessen the computation complexity. The GGRA scheme can also maximize system throughput and fulfill QoS requirements. Simulation results show that the proposed GGRA scheme performs better than the EFS algorithm [6] and the MLWDF algorithm [7] in system throughput, voice/video packet drop rate, unsatisfied ratio of HTTP users/packets, and FTP throughput. The computation complexity of the GGRA scheme is also tractable and thus feasible for real-time applications.en_US
dc.language.isoen_USen_US
dc.subjectresource allocationen_US
dc.subjectQoSen_US
dc.subjectgenetic algorithmen_US
dc.subjectSS groupingen_US
dc.subjectuplinken_US
dc.subjectOFDMAen_US
dc.titleGGRA: A Feasible Resource Allocation Scheme by Optimization Technique for IEEE 802.16 Uplink Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2010 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC 2010)en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000299203100071en_US
dc.citation.woscount0en_US
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