Title :
Spectral and Energy Efficiency Analysis of Dense Small Cell Networks
Author :
Mugume, Edwin ; So, Daniel K. C.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
Abstract :
Mobile network operators are currently faced with exponentially-increasing data traffic demand which necessitates significant investment in network expansion and upgrades. The required capital expenditure (CAPEX) and operational expenditure (OPEX) have reduced revenues and the associated CO2 emissions continue to raise ecological concerns. In this paper, we investigate the effect of varying user densities on the energy efficiency (EE) performance of the network. Using Poisson point process (PPP) theory, we derive simple analytical approximations that allow important insights to be made on the spectral efficiency (SE) and EE performance of a typical dense small cell network. We also study the impact of the sleep mode power consumption on the network EE especially in dense networks where numerous base stations may be idle simultaneously.
Keywords :
cellular radio; energy conservation; mobile radio; stochastic processes; telecommunication power management; telecommunication traffic; CAPEX; CO2 emission; OPEX; PPP theory; Poisson point process theory; capital expenditure; data traffic demand; dense small cell network EE performance; dense small cell network SE analysis; energy efficiency performance; mobile network; operational expenditure; sleep mode power consumption; spectral efficiency performance; Aggregates; Approximation methods; Base stations; Interference; Power demand; Signal to noise ratio; Wireless communication;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
DOI :
10.1109/VTCSpring.2015.7146097