DocumentCode :
1890027
Title :
Capacity optimization of femtocell networks
Author :
Fusco, Giuseppe ; Azimi, Navid Hamed ; Gupta, H.
Author_Institution :
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
fYear :
2013
fDate :
24-27 June 2013
Firstpage :
460
Lastpage :
468
Abstract :
Femtocells are short-range devices deployed to provide increased coverage and capacity in a small area. They offer a way to increase the capacity of a cellular network by relaying cellular traffic to the wired network. In this paper, we address the problem of optimizing the overall capacity of a femtocell network, as defined by Shannon´s law and physical interference, by appropriate power and channel assignment to the femtocells. In particular, we design an approximation algorithm for the objective of maximizing the total network capacity, for large uniform networks with arbitrary coverage regions. We also consider the second objective of maximizing the minimum capacity at a femtocell in the network, and design an algorithm for arbitrary networks which has an appropriate performance guarantee if there is a lower-bound on the distance of any two femtocells. Through simulations, we demonstrate the performance of our designed algorithms by comparing them with a bound on the optimal values.
Keywords :
channel allocation; femtocellular radio; radiofrequency interference; telecommunication traffic; Shannon law; approximation algorithm; cellular network; cellular traffic relaying; channel assignment; femtocell network; network capacity optimization; physical interference; short-range device; wired network; Artificial neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2013 10th Annual IEEE Communications Society Conference on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/SAHCN.2013.6645017
Filename :
6645017
Link To Document :
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