Abstract-- This paper represents recent research on Long
Term Evolution-Advanced (LTE-A) technology which is a
mobile communication system supported by Multiple-Input
Multiple-Output (MIMO) antenna transmission based on
Downlink transmission, whereby User Equipments (UEs) are
scheduled for packet transmission via information such as
channel quality indicator reports, rank indication and precoding
matrices.
The main focus of this research is on the feedback technique
via channel quality information (CQI) in order to optimize the
performance of Multi-User-MIMO (MU-MIMO) transmissions
in both the ideal and the measured transmission channels, using
a simulation application to compare the capacity of MU-MIMO
performance and Single User (SU)-MISO. The simulation shows
the advantage of MU-MIMO technology in terms of
optimization of the capacity of MU-MIMO performance due to
feedback. This is that the best-companion PMI can be helpful
with MU-MIMO precoding. The advantage of the Zero Forced
Precoder technique via the feedback is that there is no
interference from the other user at the receivers.
Index Terms: Precoding, feedback, channel quantization,
zero forced, scheduler and codebook.
I. INTRODUCTION
IMO (Multiple Input Multiple Output) technology has
become the most popular candidate for multiple
antennas used by the signal transmitter and receiver
which are key technologies for the future of wireless
communications systems. This technique is rapidly
developing with the evolution of wireless technology due to
the progress in system design for cellular communications in
channel transmission such as channel estimation, feedback,
quantization, precoding and to the large capacity gains in the
network system.
Recently, the 3rd Generation Partnership Project
(3GPP in the Long Term Evolution-Advanced (LTE-A)
system has operated with several MIMO modes in order to
achieve high data rates and high system capacity [1]. Many
researchers have been attracted to focus on this technology in
[2-4] working extensively on the transmit precoding in MU-
MIMO or Multi- Input Single-Output (MISO) applications in
broadcast channels. Some researchers confirm that reasonable
amount of channel feedback for each user in the next
generation communication systems [5-7].
In this paper our main work focus is on feedback v
Channel Quality Information (CQI) in order to optimize the
MU-MIMO transmissions operation as important to further
enhance system capacity. The rest of paper is organized as
follows: the Signal Model and Transmission Schemes in
Section II; System Proceeding of feedback information in
section III; the PMI/CQI feedback in section IV; section V on
Zero Forced Precoder Technology for feedback; section VI
analyzes and provides simulation results and section VII is
the conclusion.
II. SIGNAL
MODEL AND TRANSMISSION SCHEMES
By the consideration of the signal model for the DL MIMO
transmission, the receiver known as eNodeB is designed with
a precoder which each terminal can use to get the
information for its own data stream reception.
The mobile stations are known as User Equipment (UE).
eNodeB
UE
Fig 1: Configuration of MU-MIMO System
Let us consider that N transmission antennas at the base
station and K users each receive a signal and a frequency flat
fading channel.
The received signal can be expressed as
yHxn=+
(1)
Where
1
k
y
y
y
⎡⎤
⎢⎥
=
⎢⎥
⎢⎥
⎣⎦
M
,
1
k
n
n
n
⎡⎤
⎢⎥
=
⎢⎥
⎢⎥
⎣⎦
M
,
1
MN
k
H
HC
H
×
⎡⎤
⎢⎥
=∈
⎢⎥
⎢⎥
⎣⎦
M
The linearization of precoded transmission signal can be
given by
THE OPTIMIZATION CAPACITY OF THE MU-MIMO WITH
CHANNEL QUALITY INFORMATION
M
Jean-Baptiste YAMINDI Hong Ji Wu Mu-qing
jbyamindi@yahoo.fr
jihong@bupt.edu.cn wumuqing@bupt.edu.cn
Institute, School of Information & Telecom. Engineering Beijing University of Posts and Telecommunications, Beijing, CHINA
2012 IEEE 16th International Symposium
978-1-4673-1356-8/12/$31.00 ©2012 IEEE
2012 ISCE 1569579313
1