Transmit Antenna Selection Aided Linear Group Precoding for Massive MIMO Systems

In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear precoding algorithm that works on the selected antenna...

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Vydáno v:EAI endorsed transactions on industrial networks and intelligent systems Ročník 6; číslo 21; s. 160982
Hlavní autoři: Dinh, Van, Le, Minh, Ngo, Vu, Tran, Xuan, Ta, Chi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Ghent European Alliance for Innovation (EAI) 01.10.2019
Témata:
Algorithms
Antennas
Bit error rate
Channel capacity
Complexity
Computer simulation
lattice reduction algorithm
linear precoder
massive mimo system
MIMO (control systems)
mu-mimo system
ISSN:2410-0218, 2410-0218
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Abstract In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear precoding algorithm that works on the selected antennas. The proposed precoder is developed based on the conventional linear precoders in combination with the element-base lattice reduction shortest longest vector technique having low complexity. Numerical and simulation results show that the system performance significantly improves when the transmit selection technique is applied. Besides, the proposed precoder has remarkably lower computational complexity than its LC-RBD-LR-ZF counterpart. The bit error rate (BER) performance of the proposed precoder can approach that of the LC-RBD-LR-ZF precoder as the number of groups increases, yet at the cost of higher detection complexity.
AbstractList In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear precoding algorithm that works on the selected antennas. The proposed precoder is developed based on the conventional linear precoders in combination with the element-base lattice reduction shortest longest vector technique having low complexity. Numerical and simulation results show that the system performance significantly improves when the transmit selection technique is applied. Besides, the proposed precoder has remarkably lower computational complexity than its LC-RBD-LR-ZF counterpart. The bit error rate (BER) performance of the proposed precoder can approach that of the LC-RBD-LR-ZF precoder as the number of groups increases, yet at the cost of higher detection complexity.
In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear precoding algorithm that works on the selected antennas. The proposed precoder is developed based on the conventional linear precoders in combination with the element-base lattice reduction shortest longest vector technique having low complexity. Numerical and simulation results show that the system performance significantly improves when the transmit selection technique is applied. Besides, the proposed precoder has remarkably lower computational complexity than its LC-RBD-LR-ZF counterpart. The bit error rate (BER) performance of the proposed precoder can approach that of the LC-RBD-LR-ZF precoder as the number of groups increases, yet at the cost of higher detectioncomplexity.
Author Ngo, Vu
Le, Minh
Dinh, Van
Tran, Xuan
Ta, Chi
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StartPage 160982
SubjectTerms Algorithms
Antennas
Bit error rate
Channel capacity
Complexity
Computer simulation
lattice reduction algorithm
linear precoder
massive mimo system
MIMO (control systems)
mu-mimo system
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