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Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
2016 (English)Conference paper (Refereed)
Abstract [en]

Fundamental tradeoffs in green cellular networkswith coexistence of machine-oriented and human-oriented trafficsare investigated. First, we present a queuing system to modelthe uplink transmission of a green base station which servestwo types of distinct traffics with strict requirements on delayand battery lifetime. Then, the energy-lifetime and energydelaytradeoffs are introduced, and closed-form expressions forenergy consumption of the base station, average experienceddelay in data transmission, and expected battery lifetime ofmachine devices are derived. Furthermore, we extend the derivedresults to the multi-cell scenario, and investigate the impacts ofsystem and traffic parameters on the energy-lifetime and energydelaytradeoffs using analytical and numerical results. Numericalresults show the impact of energy saving for the access network onthe introduced tradeoffs, and figure out the ways in which energycould be saved by compromising on the level of performance.

Place, publisher, year, edition, pages
2016.
Keyword [en]
m2m communications, machine-type communications, energy efficiency, trade off, cost, deployment, base station sleeping, delay, internet of things
Keyword [fa]
بهینگی انرژی، مخابرات ماشین به ماشین، نسل پنجم، اینترنت اشیا
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-189332OAI: oai:DiVA.org:kth-189332DiVA: diva2:945728
Conference
Globecom 2016, 4-8 December 2016, Washington, DC USA
Available from: 2016-07-02 Created: 2016-07-02 Last updated: 2016-09-21

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ReferencesLink to record
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