Secrecy analysis of multiple‐input multiple‐output underlay cognitive radio networks with energy harvesting

2020 ◽  
Author(s):  
Anshu Thakur ◽  
Ashok Kumar ◽  
Nitin Gupta
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Networks ◽  
Multiple Input Multiple Output ◽  
Radio Networks ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Underlay Cognitive Radio

New multiple-input multiple-output-based filter bank multicarrier structure for cognitive radio networks

2019 ◽  
Vol 13 (10) ◽  
pp. 1514-1523
Author(s):  
Zahraa Abd El-Hamid ◽  
Emad S. Hassan ◽  
Abdel-Halim A. Zekry ◽  
Salah S. Elagooz ◽  
Moataz Samir ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Filter Bank ◽  
Multiple Input Multiple Output ◽  
Radio Networks ◽  
Filter Bank Multicarrier ◽  
Multiple Input ◽  
Input Multiple Output

An Adaptive Cooperative Strategy for Underlay MIMO Cognitive Radio Networks: An Opportunistic and Low-Complexity Approach

Frequenz ◽  
2015 ◽  
Vol 69 (3-4) ◽  
Author(s):  
M. Mazoochi ◽  
M. A. Pourmina ◽  
H. Bakhshi
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Cognitive Radio Networks ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Radio Networks ◽  
Cooperative Strategy ◽  
Cooperative Cognitive Radio Networks ◽  
Input Multiple Output ◽  
Optimal Approach

AbstractThe core aim of this work is the maximization of the achievable data rate of the secondary user pairs (SU pairs), while ensuring the QoS of primary users (PUs). All users are assumed to be equipped with multiple antennas. It is assumed that when PUs are present, the direct communications between SU pairs introduces intolerable interference to PUs and thereby SUs transmit signal using the cooperation of other SUs and avoid transmitting in the direct channel. In brief, an adaptive cooperative strategy for multiple-input/multiple-output (MIMO) cognitive radio networks is proposed. At the presence of PUs, the issue of joint relay selection and power allocation in Underlay MIMO Cooperative Cognitive Radio Networks (U-MIMO-CCRN) is addressed. The optimal approach for determining the power allocation and the cooperating SU is proposed. Besides, the outage probability of the proposed communication protocol is further derived. Due to high complexity of the optimal approach, a low-complexity approach is further proposed and its performance is evaluated using simulations. The simulation results reveal that the performance loss due to the low-complexity approach is only about 14%, while the complexity is greatly reduced.

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