Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence
2016 (English)Conference paper (Refereed)
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
IEEE conference proceedings, 2016.
m2m communications, machine-type communications, energy efficiency, trade off, cost, deployment, base station sleeping, delay, internet of things
بهینگی انرژی، مخابرات ماشین به ماشین، نسل پنجم، اینترنت اشیا
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-189332OAI: oai:DiVA.org:kth-189332DiVA: diva2:945728
Globecom 2016, 4-8 December 2016, Washington, DC USA
QC 201611032016-07-022016-07-022016-11-03Bibliographically approved