scholarly journals Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink

Author(s):  
Muhammad Farooq ◽  
Hien Quoc Ngo ◽  
Een-Kee Hong ◽  
Le-Nam Tran
Author(s):  
Xu Shuang

With the explosive growth in the number of communication users and the huge demand for data from users, Limited low-frequency resources have been far from being satisfied by users. The combination of Massive MIMO technology and millimeter-wave technology has brought new hope to users. In this paper, several basic algorithms are placed under the millimeter wave large-scale antenna channel for simulation research.


2017 ◽  
Vol 65 (17) ◽  
pp. 4624-4634 ◽  
Author(s):  
Amodh Kant Saxena ◽  
Inbar Fijalkow ◽  
A. Lee Swindlehurst
Keyword(s):  

2021 ◽  
Vol I (I) ◽  
Author(s):  
S Lakshmi Narayanan ◽  
Robert Theivadas J

MIMO is a wireless technology that uses large scale antennas to transfer more data at the same time and to increase spectral efficiency. To achieve high data rate with less bandwidth we use decomposition algorithm. Among various de-composition algorithm QR decomposition algorithm outperforms low bit error rate(BER), but the computational complexity is prohibitively high when the system incorporates large number of antennas. This paper presents a low computational sorted QR decomposition (SQRD) algorithm for MIMO.SQRD uses precoding technique at the transmitter which decomposes the channel that can sent in parallel.


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