DocumentCode :
1744422
Title :
Transmission scheduling for efficient wireless utilization
Author :
Liu, Xin ; Chong, Edwin K P ; Shroff, Ness B.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
776
Abstract :
We present an “opportunistic” transmission scheduling policy that exploits time-varying channel conditions and maximizes the system performance stochastically under a certain resource allocation fairness constraint. We establish the optimality of the scheduling scheme and also describe a practical scheduling procedure to implement our scheme. Through simulation results, we show that the scheme also works well for nonstationary scenarios and results in performance improvements of 20-150% compared with a scheduling scheme that does not take into account channel conditions. Furthermore, we note that in wireless networks, an important role of resource allocation is to balance the system performance and fairness among “good” and “bad” users. We propose three heuristic time-fraction assignment schemes, which approach the problem from different viewpoints
Keywords :
broadband networks; cellular radio; data communication; optimisation; radio networks; time-varying channels; voice communication; efficient wireless utilization; heuristic time-fraction assignment; nonstationary scenarios; opportunistic scheduling policy; optimal scheduling; resource allocation; resource allocation fairness constraint; simulation results; system performance; time-slotted cellular system; time-slotted system; time-varying channel conditions; transmission scheduling; voice communications; wideband data communications; wireless networks; Base stations; Frequency; Processor scheduling; Resource management; Shadow mapping; Signal to noise ratio; System performance; Throughput; Time-varying channels; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Conference_Location :
Anchorage, AK
ISSN :
0743-166X
Print_ISBN :
0-7803-7016-3
Type :
conf
DOI :
10.1109/INFCOM.2001.916268
Filename :
916268
Link To Document :
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