@article{oai:muroran-it.repo.nii.ac.jp:00009520,
 author = {ZHOU, Zhenyu and DONG,  Mianxiong and 董, 冕雄 and OTA,  Kaoru and 太田, 香 and SHI, Ruifeng and LIU, Zhiheng and SATO, Takuro},
 issue = {3},
 journal = {IET Communications},
 month = {},
 note = {application/pdf, Despite the numerous benefits brought by Deviceto-Device (D2D) communications, the introduction of D2D intocellular networks poses many new challenges in the resourceallocation design due to the co-channel interference caused byspectrum reuse and limited battery life of User Equipments (UEs).Most of the previous studies mainly focus on how to maximizethe Spectral Efficiency (SE) and ignore the energy consumptionof UEs. In this paper, we propose a distributed interferenceawareenergy-efficient resource allocation algorithm to maximizeeach UE’s Energy Efficiency (EE) subject to its specific Qualityof Service (QoS) and maximum transmission power constraints.We model the resource allocation problem as a noncooperativegame, in which each player is self-interested and wants tomaximize its own EE. A distributed interference-aware energyefficientresource allocation algorithm is proposed by exploitingthe properties of the nonlinear fractional programming. We provethat the optimal solution obtained by the proposed algorithmis the Nash equilibrium of the noncooperative game. We alsoanalyze the tradeoff between EE and SE and derive closed-formexpressions for EE and SE gaps.},
 pages = {375--385},
 title = {Game-theoretic approach to energy-efficient resource allocation in device-to-device underlay communications},
 volume = {9},
 year = {2015},
 yomi = {トウ, メンユウ and オオタ, カオル}
}