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On the Total Energy Efficiency of Cell-Free Massive MIMO

Ngo, Hien Quoc (author)
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.
Tran, Le-Nam (author)
School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland
Duong, Trung Q. (author)
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.
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Matthaiou, Michail (author)
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.
Larsson, Erik G. (author)
Linköpings universitet,Kommunikationssystem,Tekniska fakulteten
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Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, UK. School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland (creator_code:org_t)
IEEE, 2018
2018
English.
In: IEEE Transactions on Green Communications and Networking. - : IEEE. - 2473-2400. ; 2:1, s. 25-39
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We consider the cell-free massive multiple-input multiple-output (MIMO) downlink, where a very large number of distributed multiple-antenna access points (APs) serve many single-antenna users in the same time-frequency resource. A simple (distributed) conjugate beamforming scheme is applied at each AP via the use of local channel state information (CSI). This CSI is acquired through time-division duplex operation and the reception of uplink training signals transmitted by the users. We derive a closed-form expression for the spectral efficiency taking into account the effects of channel estimation errors and power control. This closed-form result enables us to analyze the effects of backhaul power consumption, the number of APs, and the number of antennas per AP on the total energy efficiency, as well as, to design an optimal power allocation algorithm. The optimal power allocation algorithm aims at maximizing the total energy efficiency, subject to a per-user spectral efficiency constraint and a per-AP power constraint. Compared with the equal power control, our proposed power allocation scheme can double the total energy efficiency. Furthermore, we propose AP selections schemes, in which each user chooses a subset of APs, to reduce the power consumption caused by the backhaul links. With our proposed AP selection schemes, the total energy efficiency increases significantly, especially for large numbers of APs. Moreover, under a requirement of good quality-of-service for all users, cell-free massive MIMO outperforms the colocated counterpart in terms of energy efficiency.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

MIMO communication
antenna arrays
array signal processing
channel estimation
energy conservation
power consumption
telecommunication power management
wireless channels
AP selection schemes
backhaul power consumption
cell-free massive MIMO
cell-free massive multiple input multiple output downlink
channel estimation errors
closed-form expression
conjugate beamforming scheme
distributed multiple-antenna access points
optimal power allocation algorithm
per-AP power constraint
per-user spectral efficiency constraint
power allocation scheme
power control
quality of service
single-antenna users
spectral efficiency
time-division duplex operation
total energy efficiency
Antennas
Downlink
MIMO
Power demand
Uplink
conjugate beamforming
energy efficiency
massive MIMO
network MIMO

Publication and Content Type

ref (subject category)
art (subject category)

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Ngo, Hien Quoc
Tran, Le-Nam
Duong, Trung Q.
Matthaiou, Micha ...
Larsson, Erik G.
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
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Linköping University

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