Impact of co-channel interference on an underlay cognitive radio network over Nakagami-m fading channels

2017 ◽  
Author(s):  
Jamal A. Hussein ◽  
Salama S. Ikki ◽  
Said Boussakta ◽  
Charalampos Tsimenidis
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Channel Interference ◽  
Underlay Cognitive Radio

Cognitive MIMO Radio

2011 ◽  
Vol 5 (2) ◽  
pp. 58-79
Author(s):  
Mingming Li ◽  
Jiaru Lin ◽  
Fazhong Liu ◽  
Dongxu Wang ◽  
Li Guo
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Cognitive Radio Network ◽  
Multiple Input Multiple Output ◽  
Primary User ◽  
Base Station ◽  
Radio Network ◽  
First Case ◽  
Channel Interference ◽  
Stable Throughput

The authors consider a cognitive radio network in which a set of cognitive users make opportunistic spectrum access to one primary channel by time-division multiplexing technologies. Multiple Input Multiple Output techniques (MIMO) are similarly considered to enhance the stable throughput for cognitive links while they should guarantee co-channel interference constraints to the primary link. Here, two different cases are considered: one is that cognitive radio network is distributed; the other is centrally-controlled that cognitive radio network has a cognitive base station. In the first case, how to choose one fixed cognitive user and power control for each transmission antenna at the cognitive base station are considered to maximize the cognitive link’s stable throughput. In the second case, a scheme to choose a group of cognitive users and a Zero-Forcing method to pre-white co-channel interference to the primary user, are also proposed in order to maximize cognitive base station’s sum-rate. The algorithm can be employed to realize opportunistic spectrum transmission over the wireless fading channels.

Cognitive MIMO Radio

2012 ◽  
pp. 367-386
Author(s):  
Mingming Li ◽  
Jiaru Lin ◽  
Fazhong Liu ◽  
Dongxu Wang ◽  
Li Guo
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Cognitive Radio Network ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Radio Network ◽  
First Case ◽  
Channel Interference ◽  
Input Multiple Output ◽  
Stable Throughput

The authors consider a cognitive radio network in which a set of cognitive users make opportunistic spectrum access to one primary channel by time-division multiplexing technologies. Multiple Input Multiple Output techniques (MIMO) are similarly considered to enhance the stable throughput for cognitive links while they should guarantee co-channel interference constraints to the primary link. Here, two different cases are considered: one is that cognitive radio network is distributed; the other is centrally-controlled that cognitive radio network has a cognitive base station. In the first case, how to choose one fixed cognitive user and power control for each transmission antenna at the cognitive base station are considered to maximize the cognitive link’s stable throughput. In the second case, a scheme to choose a group of cognitive users and a Zero-Forcing method to pre-white co-channel interference to the primary user, are also proposed in order to maximize cognitive base station’s sum-rate. The algorithm can be employed to realize opportunistic spectrum transmission over the wireless fading channels.

scholarly journals Spectrum sensing based on energy of unknown deterministic signals over fading channels

2014 ◽  
Vol 17 (1) ◽  
pp. 17-31
Author(s):  
Tu Thanh Nguyen ◽  
Khoa Le Dang ◽  
Thu Thi Hong Nguyen ◽  
Phuong Huu Nguyen
Keyword(s):  
Cognitive Radio ◽  
Fading Channels ◽  
Spectrum Sensing ◽  
Cognitive Radio Network ◽  
Signal To Noise Ratio ◽  
Energy Detection ◽  
Radio Network ◽  
Essential Components ◽  
Spectrum Hole ◽  
The Impact

In cognitive radio network, how to minimize the impact of secondary user on primary user’s signal plays a very important and complex role. Therefore, spectrum sensing is one of the most essential components of cognitive radio. Therefore, the effect of spectrum sensing algorithms plays a key role to the system’s performance. In this paper, we concentrate on spectrum sensing algorithms in order to find out spectrum hole or while hole for reusing it. Specifically, we will highlight the energy detector algorithm of unknown deterministic signals over fading channels. The numerical results match well with theoretical analysis. The system’s performance of energy detection in AWGN channel is acceptable in case of relatively low signal to noise ratio (SNR). However, the performance of system will be degraded remarkable over fading environments.

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