@article{
 title = {Power control for D2D underlaid cellular networks: Modeling, algorithms, and analysis},
 type = {article},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {[cellular networks, device-to-device communication},
 volume = {33},
 id = {5a284c7c-fccf-38e8-b906-f713d981d091},
 created = {2016-09-06T19:48:06.000Z},
 file_attached = {false},
 profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},
 last_modified = {2017-03-24T19:20:02.182Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {? 1983-2012 IEEE.This paper proposes a random network model for a device-to-device (D2D) underlaid cellular system using stochastic geometry and develops centralized and distributed power control algorithms. The goal of centralized power control is twofold: ensure that the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2D users, while scheduling as many D2D links as possible. For the distributed power control method, the optimal on-off power control strategy is proposed, which maximizes the sum rate of the D2D links. Expressions are derived for the coverage probabilities of cellular, D2D links, and the sum rate of the D2D links in terms of the density of D2D links and the path-loss exponent. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2D underlaid cellular networks is the cross-tier interference between D2D links and the cellular user, not the D2D intratier interference when the density of D2D links is sparse. Simulation results verify the exactness of the derived coverage probabilities and the sum rate of D2D links.},
 bibtype = {article},
 author = {Lee, N. and Lin, X. and Andrews, J.G. and Heath, R.W.},
 journal = {IEEE Journal on Selected Areas in Communications},
 number = {1}
}

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