multiuser diversity
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2020 ◽  
Vol 9 (6) ◽  
pp. 15-22
Author(s):  
Xiaojing Chen ◽  
Jianming Cui ◽  
Wei Ni ◽  
Xin Wang ◽  
Yu Zhu ◽  
...  

2020 ◽  
Vol 460 ◽  
pp. 124926
Author(s):  
Xiang Yi ◽  
Qingqing Ao ◽  
Peng Yue ◽  
Cong Shen ◽  
Yamin Wang ◽  
...  

2019 ◽  
Vol 442 ◽  
pp. 77-83 ◽  
Author(s):  
Abhijeet Upadhya ◽  
Vivek K. Dwivedi ◽  
G. Singh

2019 ◽  
Vol 441 ◽  
pp. 138-148 ◽  
Author(s):  
Weina Pang ◽  
Ping Wang ◽  
Lixin Guo ◽  
Wenwen Chen ◽  
Ang Li ◽  
...  

2019 ◽  
Vol 23 (3) ◽  
pp. 550-553 ◽  
Author(s):  
Ali Reza Heidarpour ◽  
Masoud Ardakani ◽  
Chintha Tellambura

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Prince Semba Yawada ◽  
Mai Trung Dong

The spectrum detection (SD) is a critical step in cognitive radio (CR) to identify the available spectrum and avoid interference and harm to primary users (PUs). Nonetheless, the practical detection process is often compromised with problems of receptors uncertainty, shadows, and multipath fading. To overcome these problems, a cooperative SD scheme is proposed by exploiting the system multiantenna (MUA) with the multiuser diversity (MUD). The SD gives unlicensed secondary users (SUs) the opportunity to use the licensed spectral band until the PU makes its appearance. By allowing the cooperation between the SUs of the same spectral band, the time of the detection is reduced and increases the general dexterity, which is the strong point of cooperative SD. In this paper, we proposed an SD scheme using a new MUA design. The scheme proposed is a clear difference compared to other systems because in this design weight of quantification is multiplied by each receiving antenna. The scheme has the ability to detect low-level signals to facilitate sharing between the SU and PU system. The numerical results are made to prove the performance of the proposed system compared to the conventional system. The results obtained confirm the efficiency of the proposed scheme.


2018 ◽  
Vol 14 (4) ◽  
pp. 296-300 ◽  
Author(s):  
Tao Liu ◽  
Hai-lin Zhang ◽  
Hui-hua Fu ◽  
Ping Wang ◽  
Nan Xiang

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