A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds (2016)

Chang, Z., Gong, J., Li, Y., Zhou, Z., Ristaniemi, T., Shi, G., Han, Z., & Niu, Z. (2016). Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds. IEEE Journal on Selected Areas in Communications, 34(12), 3438-3450. https://doi.org/10.1109/JSAC.2016.2611843

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Chang, Zheng; Gong, Jie; Li, Yingyu; Zhou, Zhenyu; Ristaniemi, Tapani; Shi, Guangming; Han, Zhu; Niu, Zhisheng

Lehti tai sarja: IEEE Journal on Selected Areas in Communications

ISSN: 0733-8716

eISSN: 1558-0008

Julkaisuvuosi: 2016

Volyymi: 34

Lehden numero: 12

Artikkelin sivunumerot: 3438-3450

Kustantaja: Institute of Electrical and Electronics Engineers

Kustannuspaikka: Piscataway

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

DOI: https://doi.org/10.1109/JSAC.2016.2611843

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus: 

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/52633

Tiivistelmä

In order to fully enjoy high rate broadband multimedia services, prolonging the battery lifetime of user equipment is critical for mobile users, especially for smartphone users. In this paper, the problem of distributing cellular data via a wireless power transfer enabled collaborative mobile cloud (WeCMC) in an energy efficient manner is investigated. WeCMC is formed by a group of users who have both functionalities of information decoding and energy harvesting, and are interested for cooperating in downloading content from the operators. Through device-to-device communications, the users inside WeCMC are able to cooperate during the downloading procedure and offload data from the base station to other WeCMC members. When considering multi-input multi-output wireless channel and wireless power transfer, an efficient algorithm is presented to optimally schedule the data offloading and radio resources in order to maximize energy efficiency as well as fairness among mobile users. Specifically, the proposed framework takes energy minimization and quality of service requirement into consideration. Performance evaluations demonstrate that a significant energy saving gain can be achieved by the proposed schemes.

YSO-asiasanat: energiatehokkuus

Vapaat asiasanat: collaborative mobile clouds; content distribution; wireless power transfer; resources allocation

Liittyvät organisaatiot

Hankkeet, joissa julkaisu on tehty

OKM-raportointi: Kyllä

Raportointivuosi: 2016

JUFO-taso: 3