DocumentCode :
609165
Title :
Massive MIMO or small cell network: Who is more energy efficient?
Author :
Wenjia Liu ; Shengqian Han ; Chenyang Yang ; Chengjun Sun
Author_Institution :
Beihang Univ., Beijing, China
fYear :
2013
fDate :
7-10 April 2013
Firstpage :
24
Lastpage :
29
Abstract :
Energy efficiency (EE) is becoming an important design goal for wireless communication systems providing high spectral efficiency (SE). Both massive multi-input multi-output (MIMO) and small cell network (SCN) are expected to achieve high EE for high throughput cellular networks, though using different mechanisms. Massive MIMO improves EE by exploiting a large array gain, while SCN improves EE by deploying a large number of low-power base stations (BSs) to reduce the propagation loss and increase the opportunity of BS sleep. In this paper, we compare the EEs as well as the SEs of Massive MIMO and SCN. For a fair comparison, we consider a multi-cell network with the same user density, antenna density and average cell-edge signal-to-noise-ratio (SNR). Perfect channel information is assumed, and three BS sleep strategies are considered. Our analysis shows that the EE of SCN increases with the cell size shrinking, and the achievable SEs of SCN and Massive MIMO increase with the cell-edge SNR. When the number of cells is large, SCN is always more energy efficient than Massive MIMO. On the other hand, when the number of cells is small, Massive MIMO achieves higher EE than SCN when the circuit power consumptions of Massive MIMO are much lower than SCN.
Keywords :
MIMO communication; antennas; cellular radio; energy conservation; energy consumption; wireless channels; BS; BS sleep; EE; SCN; SE; SNR; antenna density; average cell-edge signal-to-noise-ratio; circuit power consumption; energy efficiency; high throughput cellular network; low-power base stations; massive MIMO; multi-input multi-output network; multicell network; propagation loss reduce; small cell network; spectral efficiency; wireless communication system; Antennas; Computer architecture; Interference; MIMO; Microprocessors; Power demand; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-0109-8
Electronic_ISBN :
978-1-4799-0108-1
Type :
conf
DOI :
10.1109/WCNCW.2013.6533309
Filename :
6533309
Link To Document :
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