DocumentCode :
548304
Title :
Interference Strength Alignment and Uplink Channel Allocation in Linear Cellular Networks
Author :
Zhao, Yue ; Pottie, Gregory
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
We find the uplink channel allocation that maximizes the total throughput in linear (one-dimensional) cellular systems, under arbitrary fairness constraints defined by resource distribution functions. We exploit a revenue-cost separation principle in this multi-cell interference channel problem, and equivalently transform maximizing the total throughput into minimizing the total interference cost of all cells. The key idea in obtaining the optimal channel allocation is the alignment of interference signal strengths. We show that with very low complexity, a complete optimal channel allocation can be constructed by rippling along all the cells the proposed interference strength alignment procedure. From analyzing the consequence of the interference strength alignment, the superiority of the optimal channel allocation over CDMA is justified. Numerical results are provided to demonstrate the performance gap between these two schemes.
Keywords :
cellular radio; channel allocation; code division multiple access; radiofrequency interference; wireless channels; CDMA; code division multiple access; interference cost; interference signal strength alignment; linear cellular network; multicell interference channel problem; optimal uplink channel allocation; resource distribution function; revenue cost separation principle; Channel allocation; Complexity theory; Interference; Multiaccess communication; Resource management; Signal to noise ratio; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5962728
Filename :
5962728
Link To Document :
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