Battery Lifetime-Aware Base Station Sleeping Control with M2M/H2H Coexistence

Fundamental tradeoffs in green cellular networks with coexistence of machine-oriented and human-oriented traffics are investigated. First, we present a queuing system to model the uplink transmission of a green base station which serves two types of distinct traffics with strict requirements on delay and battery lifetime. Then, the energy-lifetime and energydelay tradeoffs are introduced, and closed-form expressions for energy consumption of the base station, average experienced delay in data transmission, and expected battery lifetime of machine devices are derived. Furthermore, we extend the derived results to the multi-cell scenario, and investigate the impacts of system and traffic parameters on the energy-lifetime and energydelay tradeoffs using analytical and numerical results. Numerical results show the impact of energy saving for the access network on the introduced tradeoffs, and figure out the ways in which energy could be saved by compromising on the level of performance.