User Selection and Rank Adaptation for Multi-User Massive MIMO with Hybrid Beamforming

2017 ◽  
Author(s):  
Hiroyuki Miyazaki ◽  
Satoshi Suyama ◽  
Tatsuki Okuyama ◽  
Jun Mashino ◽  
Yukihiko Okumura
Keyword(s):  
Massive Mimo ◽  
User Selection ◽  
Hybrid Beamforming

Two-Step User Selection Algorithm in Multi-User Massive MIMO with Hybrid Beamforming for 5G Evolution

2021 ◽  
Author(s):  
Nobuhide Nonaka ◽  
Satoshi Suyama ◽  
Tatsuki Okuyama ◽  
Kazushi Muraoka ◽  
Yukihiko Okumura
Keyword(s):  
Massive Mimo ◽  
User Selection ◽  
Selection Algorithm ◽  
Hybrid Beamforming

Combined User and Antenna Selection in Massive MIMO Using Precoding Technique

2019 ◽  
Vol 9 (2) ◽  
pp. 214-223 ◽  
Author(s):  
Tasher Ali Sheikh ◽  
Joyatri Bora ◽  
Md. Anwar Hussain
Keyword(s):  
Massive Mimo ◽  
Antenna Selection ◽  
Orthogonality Condition ◽  
Channel Gain ◽  
User Selection ◽  
Selection Algorithm

Background and Objectives: We propose here joint semi-orthogonal user selection and antenna selection algorithm based on precoding scheme. Methods: The focus of this proposed algorithm is to increase the system sumrate and decrease the complexity. We select and schedule users from a large number of users based on semi-orthogonality condition among them. Here, we select only the maximum channel gain antennas to maximize the system sumrate. Subsequently, the user selection and antenna selection have been scheduled in an adequate manner in order to obtain maximum system sumrate. We calculate the system sumrate for two scenarios: firstly, by considering the interference and secondly without considering the interference. We achieve maximum system sumrate at MMSE and lowest at without precoding while considering the interference. However, when we do not consider the interference we obtain lowest sumrate at MMSE and maximum at without precoding. Results and Conclusion: Here, we apply the precoding scheme to increase the system sumrate and we obtain approximately 20% to 35% higher system sumrate compared to without precoding, when interference is considered. Thus, we achieve higher sumrate in our proposed algorithms compared to other existing work.

scholarly journals Hybrid beamforming in Multiuser mmWave Massive MIMO System

2021 ◽  
Vol 1738 ◽  
pp. 012001
Author(s):  
Zhouzheng Lu ◽  
Yufan Guo ◽  
Wenxuan Yang ◽  
Yang Liu ◽  
Qitong Luan ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo System ◽  
Hybrid Beamforming
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