Novel interference alignment in multi-secondary users cognitive radio system

2012 ◽  
Author(s):  
Bassant Abdelhamid ◽  
Maha Elsabrouty ◽  
Salwa Elramly
Keyword(s):  
Cognitive Radio ◽  
Interference Alignment ◽  
Secondary Users ◽  
Radio System ◽  
Cognitive Radio System

scholarly journals Interference Alignment and Fairness Algorithms for MIMO Cognitive Radio Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Feng Zhao ◽  
Wen Wang ◽  
Hongbin Chen
Keyword(s):  
Cognitive Radio ◽  
Interference Alignment ◽  
Primary User ◽  
Spatial Dimension ◽  
Proportional Fairness ◽  
Secondary Users ◽  
Radio System ◽  
Channel Knowledge ◽  
Water Filling ◽  
Radio Systems

Interference alignment (IA) is an effective technique to eliminate the interference among wireless nodes. In a multiinput multi-output (MIMO) cognitive radio system, multiple secondary users can coexist with the primary user without generating any interference by using the IA technology. However, few works have considered the fairness of secondary users. In this paper, not only is the interference eliminated by IA, but also the fairness of secondary users is considered by two kinds of algorithms. Without losing generality, one primary user andKsecondary users are considered in the network. Assuming perfect channel knowledge at the primary user, the interference from secondary users to the primary user is aligned into the unused spatial dimension which is obtained by water-filling among primary user. Also, the interference between secondary users can be eliminated by a modified maximum signal-to-interference-plus-noise algorithm using channel reciprocity. In addition, two kinds of fairness algorithms, max-min fairness and proportional fairness, among secondary users are proposed. Simulation results show the effectiveness of the proposed algorithms in terms of suppressed interference and fairness of secondary nodes. What is more, the performances of the two fairness algorithms are compared.

Analysis of the Capacity Performance of Cognitive Radio System Based on Continuous-Time Markov Model

2014 ◽  
Vol 687-691 ◽  
pp. 4009-4014
Author(s):  
Song Chen ◽  
Sheng Wang ◽  
Han Ying Hu ◽  
Shi Lei Zhu
Keyword(s):  
Cognitive Radio ◽  
Continuous Time ◽  
Signal To Noise Ratio ◽  
Cognitive System ◽  
System Capacity ◽  
Secondary Users ◽  
Radio System ◽  
Cognitive Radio System ◽  
Spectrum Detection ◽  
Close Form

The final goal of cognitive radio system is to improve the usage of the idle spectrum resource, thus improves the capacity of the cognitive users. However, the capacity of the cognitive radio system is related with the probability of spectrum detection and the signal strength of the secondary users. Aiming at this problem, a cognitive-transmition model is proposed using continuous time Markov chain, and close form solutions of the probability of all states are given theoretically. Furthermore, the mutuality of system detection probability, signal to noise ratio of the cognitive system, capacity of the cognitive system and overall spectrum usage are analyzed synthetically. The analyze results are tested by numerical simulations.

scholarly journals Secrecy Outage Analysis on Underlay Cognitive Radio System With Full-Duplex Secondary User

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 25696-25705 ◽  
Author(s):  
Chao Zhang ◽  
Danyang Wang ◽  
Jia Ye ◽  
Hongjiang Lei ◽  
Jiliang Zhang ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Secondary User ◽  
Full Duplex ◽  
Radio System ◽  
Cognitive Radio System ◽  
Underlay Cognitive Radio ◽  
Secrecy Outage ◽  
Outage Analysis
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