scholarly journals A User Selection Algorithm Based On the Combination of Block Diagonalization and SLNR Maximization

Author(s):  
Weihong Fu ◽  
Cheng Wang ◽  
Nai’an Liu ◽  
Qingliang Kong ◽  
Weixin Tian
2013 ◽  
Vol 347-350 ◽  
pp. 2474-2478
Author(s):  
Wei Hong Fu ◽  
Cheng Wang ◽  
Nai An Liu ◽  
Qing Liang Kong ◽  
Wei Xin Tian

In this paper, a new precoding scheme is proposed based on the combination of Block Diagonalization (BD) and SLNR (Signal Leakage Noise Ratio) maximization. Then a new user selection algorithm is proposed based on the joint precoding scheme. BD precoding will cause performance loss in the single antenna terminals when the number of terminal antenna is inconsistent. The algorithm we proposed can overcome the drawback by using the maximum SLNR for single-antenna users and BD precoding for multi-antenna users respectively. Simulation results show that the proposed algorithm will enhance the system sum-rate performance significantly when SNR (Signal Noise Ratio) over 5dB. The performance improves by 30% when SNR reaches 20dB.


2010 ◽  
Vol 32 (11) ◽  
pp. 2785-2789
Author(s):  
Fang Xie ◽  
Chao-wei Yuan ◽  
Tie-zheng Cheng ◽  
Lin Li

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

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