An energy-efficient joint antenna and user selection algorithm for multi-user massive MIMO downlink

2018 ◽  
Vol 12 (3) ◽  
pp. 255-260 ◽  
Author(s):  
Maryam Olyaee ◽  
Mohsen Eslami ◽  
Javad Haghighat
Author(s):  
Tasher Ali Sheikh ◽  
Joyatri Bora ◽  
Md. Anwar Hussain

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.


2015 ◽  
Vol 2 (4) ◽  
pp. e3 ◽  
Author(s):  
Nayan fang ◽  
Jie Zeng ◽  
Xin Su ◽  
Yujun Kuang

Author(s):  
Nobuhide Nonaka ◽  
Satoshi Suyama ◽  
Tatsuki Okuyama ◽  
Kazushi Muraoka ◽  
Yukihiko Okumura

2015 ◽  
Vol 12 (10) ◽  
pp. 64-75 ◽  
Author(s):  
Guozhen Xu ◽  
An Liu ◽  
Wei Jiang ◽  
Haige Xiang ◽  
Wu Luo

2021 ◽  
Vol 2113 (1) ◽  
pp. 012025
Author(s):  
Yiyang Wu ◽  
Chang Chang ◽  
Fei Xie ◽  
Dacheng Ju ◽  
Yilun Pan

Abstract Average allocation of data rate to each user is inefficient since the resource a base station can allocate is limited. Thus, user selection and user scheduling need to be applied into multi-user massive multiple-input multiple-output (MIMO) downlink system. In this paper, we mainly focus on the methods of user selection. First, we establish a downlink system model including transmission model and channel model. Then, two user-rate based user selection algorithms via the signal-to-interference-plus-noise-ratio (SINR) are proposed, where the SINR is generated by MRC beamforming. Finally, simulation results are provided to compare the performance of two proposed algorithms and their fairness towards selected users. In the simulation results, location-based selection algorithm and random selection algorithm are jointly compared. The second proposed algorithm possesses the highest total sum-rate and is the optimal algorithms among the four algorithms.


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