DocumentCode :
1779493
Title :
Demystifying the scaling laws of dense wireless networks: No linear scaling in practice
Author :
Song-Nam Hong ; Caire, Giuseppe
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
fYear :
2014
fDate :
June 29 2014-July 4 2014
Firstpage :
71
Lastpage :
75
Abstract :
We optimize the hierarchical cooperation protocol of Ozgur, Leveque and Tse, which is supposed to yield almost linear scaling of the capacity of a dense wireless network with the number of users n. Exploiting recent results on the optimality of “treating interference as noise” in Gaussian interference channels, we are able to optimize the achievable average perlink rate and not just its scaling law. Our optimized hierarchical cooperation protocol significantly outperforms the originally proposed scheme. On the negative side, we show that even for very large n, the rate scaling is far from linear, and the optimal number of stages t is less than 4, instead of t → ∞ as required for almost linear scaling. Combining our results and the fact that, beyond a certain user density, the network capacity is fundamentally limited by Maxwell laws, as shown by Francheschetti, Migliore and Minero, we argue that there is indeed no intermediate regime of linear scaling for dense networks in practice.
Keywords :
Gaussian channels; Gaussian noise; cooperative communication; protocols; radio networks; Gaussian interference channel; Leveque cooperation protocol; Maxwell law; Ozgur cooperation protocol; Tse cooperation protocol; dense wireless network capacity; hierarchical cooperation protocol; linear scaling; scaling law; Encoding; Interference; MIMO; Protocols; Quantization (signal); Signal to noise ratio; Time division multiple access;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/ISIT.2014.6874797
Filename :
6874797
Link To Document :
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