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1
Electricity Cost Minimization for Delay-tolerant Basestation Powered by Heterogeneous Energy Source

( Qingyong Deng ),( Xueming Li ),( Zhetao Li ),( Anfeng Liu ),( Young-june Choi ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.12
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  KISS
Recently, there are many studies, that considering green wireless cellular networks, have taken the energy consumption of the base station (BS) into consideration. In this work, we first introduce an energy consumption model of multi-mode sharing BS powered by multiple energy sources including renewable energy, local storage and power grid. Then communication load requests of the BS are transformed to energy demand queues, and battery energy level and worst-case delay constraints are considered into the virtual queue to ensure the network QoS when our objective is to minimize the long term electricity cost of BSs. Lyapunov optimization method is applied to work out the optimization objective without knowing the future information of the communication load, real-time electricity market price and renewable energy availability. Finally, linear programming is used, and the corresponding energy efficient scheduling policy is obtained. The performance analysis of our proposed online algorithm based on real-world traces demonstrates that it can greatly reduce one day’s electricity cost of individual BS.
2
Dynamic Spectrum Sharing for Hybrid Access in OFDMA-Based Cognitive Femtocell Networks

Deng, Qingyong,Li, Zhetao,Chen, Jiabei,Zeng, Fanzi,Wang, Hui-Ming,Zhou, Liang,Choi, Young-June IEEE 2018 IEEE Transactions on Vehicular Technology VT Vol.67 No.11
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<P>Cognitive femtocell has emerged as one of the promising ways to solve the indoor coverage and spectrum shortage problems in cellular networks. However, it is a challenge to motivate both macro base station ( <TEX>$\text{MBS}$</TEX>) and femtocell access points ( <TEX>$\text{FAPs}$</TEX>) to adopt this hybrid access policy. In this paper, we propose a systematic dynamic spectrum sharing framework for hybrid access in orthogonal frequency-division multiple-access-based cognitive macro-femtocell networks. In this framework, the <TEX>$\text{MBS}$</TEX> offloads some macro user equipments ( <TEX>$\text{MUEs}$</TEX>) to <TEX>$\text{FAP}$</TEX> to improve the transmission performance and save energy. In return, the MBS leases a portion of its spectrum to <TEX>$\text{FAP}$</TEX>. Then, the <TEX>$\text{FAP}$</TEX> can use a part of spectrum for its own transmission and use another part to serve <TEX>$\text{MUEs}$</TEX>. We design an auction-based approach where each <TEX>$\text{FAP}$</TEX> receives additional <TEX>$\text{MUE}$</TEX> as bidders, while MBS acts as auctioneer. We formulate the dynamic resource sharing as a sum utility maximization problem. Numerical results demonstrate that both the macro and femtocell could get benefit from our framework.</P>