Research Article
Cognitive Networks Achieve Throughput Scaling of a Homogeneous Network
@INPROCEEDINGS{10.1109/WIOPT.2009.5291610, author={Sang-Woon Jeon and Natasha Devroye and Mai Vu and Sae-Young Chung and Vahid Tarokh}, title={Cognitive Networks Achieve Throughput Scaling of a Homogeneous Network}, proceedings={7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks}, publisher={IEEE}, proceedings_a={WIOPT}, year={2010}, month={5}, keywords={}, doi={10.1109/WIOPT.2009.5291610} }- Sang-Woon Jeon
Natasha Devroye
Mai Vu
Sae-Young Chung
Vahid Tarokh
Year: 2010
Cognitive Networks Achieve Throughput Scaling of a Homogeneous Network
WIOPT
IEEE
DOI: 10.1109/WIOPT.2009.5291610
Abstract
We study two distinct, but overlapping, networks which operate at the same time, space and frequency. The first network consists of nrandomly distributed primary users, which form either an ad hoc network, or an infrastructuresupported ad hoc network in which ladditional base stations support the primary users. The second network consists of m randomly distributed secondary or cognitive users. The primary users have priority access to the spectrum and do not change their communication protocol in the presence of secondary users. The secondary users, however, need to adjust their protocol based on knowledge about the locations of the primary users so as not to harm the primary network’s scaling law. Base on percolation theory, we show that surprisingly, when the secondary network is denser than the primary network, both networks can simultaneously achieve the same throughput scaling law as a stand-alone ad hoc network.
