DocumentCode :
3510025
Title :
Optimality of binary power-control in a single cell via majorization
Author :
Inaltekin, Hazer ; Hanly, Stephen
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
2891
Lastpage :
2895
Abstract :
This paper considers the optimum single cell power-control maximizing the aggregate (uplink) communication rate of the cell when there are peak power constraints at mobile users, and a low-complexity data decoder (without successive decoding) at the base station. It is shown, via the theory of majorization, that the optimum power allocation is binary, which means links are either “on” or “off”. By exploiting further structure of the optimum binary power allocation, a simple polynomial-time algorithm for finding the optimum transmission power allocation is proposed. Sufficient conditions under which channel-state aware time-division-multiple-access (TDMA) maximizes the aggregate communication rate are established. Finally, a simulation study is performed and it is observed that two dominant modes of communication arise, wideband or TDMA. The heuristic algorithm that chooses the best of these two modes is observed to be extremely close to optimal.
Keywords :
cellular radio; polynomials; power control; telecommunication control; time division multiple access; wireless channels; TDMA; binary power control optimality; channel state aware time division multiple access; communication rate; heuristic algorithm; low complexity data decoder; optimum binary power allocation; optimum transmission power allocation; peak power constraint; polynomial time algorithm; Base stations; Fading; Heuristic algorithms; Interference; Resource management; Signal to noise ratio; Time division multiple access; Communication networks; TDMA; power-control; sum-rate capacity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
ISSN :
2157-8095
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2011.6034104
Filename :
6034104
Link To Document :
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