Numerical analysis of the impact of shadow fading in power control and contention control interference management schemes in cognitive radio

2015 ◽  
Author(s):  
Ireyuwa E. Igbinosa ◽  
Olutayo O. Oyerinde ◽  
Viranjay M. Srivastava ◽  
Stanley H. Mneney
Keyword(s):  
Cognitive Radio ◽  
Numerical Analysis ◽  
Power Control ◽  
Interference Management ◽  
Shadow Fading ◽  
Management Schemes ◽  
Contention Control ◽  
The Impact

Detection Reliability and Throughput Analysis for Cooperative Spectrum Sensing in Cognitive Radio Networks

2012 ◽  
Vol 457-458 ◽  
pp. 668-674
Author(s):  
Hong Du ◽  
Zai Xue Wei ◽  
Yu Wang ◽  
Da Cheng Yang
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
High Reliability ◽  
Radio Networks ◽  
Shadow Fading ◽  
Sensing Technology ◽  
The Impact ◽  
Cooperative Algorithm

In cognitive radio networks (CRNs), cooperative spectrum sensing technology could overcome the impact from shadow fading and noise uncertainty; however, cognitive radio users with different signal-to-noise ratios (SNRs) would cause the unreliable detection performance when making a decision in the information fusion center. Therefore, a novel cooperative spectrum sensing scheme which focus on the reliability of cognitive radio users is presented. The proposed approach does not select all of the cognitive radio users but the ones whose SNR is beyond the average SNR of the whole users for high reliability. Moreover, the detection and throughput performance is investigated. Simulation results illustrate this approach could enhances the detection probability by comparing to the conventional cooperative algorithm. Besides, it also could lead to higher throughput within a short spectrum sensing time.

An Energy Efficient Spectrum Aware Routing for Cognitive Radio Networks (CRNs)

2020 ◽  
Vol 10 ◽  
Author(s):  
Dileep Reddy Bolla ◽  
Jijesh J J ◽  
Mahaveer Penna ◽  
Shiva Shankar
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Energy Efficient ◽  
Research Work ◽  
Spectrum Management ◽  
Residual Energy ◽  
Radio Networks ◽  
Traffic Load ◽  
The Impact

Back Ground/ Aims:: Now-a-days in the Wireless Communications some of the spectrum bands are underutilized or unutilized; the spectrum can be utilized properly by using the Cognitive Radio Techniques using the Spectrum Sensing mechanisms. Objectives:: The prime objective of the research work carried out is to achieve the energy efficiency and to use the spectrum effectively by using the spectrum management concept and achieve better throughput, end to end delay etc., Methods:: The detection of the spectrum hole plays a vital role in the routing of Cognitive Radio Networks (CRNs). While detecting the spectrum holes and the routing, sensing is impacted by the hidden node issues and exposed node issues. The impact of sensing is improved by incorporating the Cooperative Spectrum Sensing (CSS) techniques. Along with these issues the spectrum resources changes time to time in the routing. Results:: All the issues are addressed with An Energy Efficient Spectrum aware Routing (EESR) protocol which improves the timeslot and the routing schemes. The overall network life time is improved with the aid of residual energy concepts and the overall network performance is improved. Conclusion:: The proposed protocol (EESR) is an integrated system with spectrum management and the routing is successfully established to communication in the network and further traffic load is observed to be balanced in the protocol based on the residual energy in a node and further it improves the Network Lifetime of the Overall Network and the Individual CR user, along with this the performance of the proposed protocol outperforms the conventional state of art routing protocols.

scholarly journals Joint UAV channel modeling and power control for 5G IoT networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xiuhua Fu ◽  
Tian Ding ◽  
Rongqun Peng ◽  
Cong Liu ◽  
Mohamed Cheriet
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Channel Model ◽  
Path Loss ◽  
Channel Modeling ◽  
Signal Propagation ◽  
Spectrum Efficiency ◽  
Propagation Path ◽  
Control Factor ◽  
The Impact

AbstractThis paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal propagation. The 3D distance is used to calculate the path loss, which can better reflect the actual path loss. The power control factor is used to adjust the UAV's uplink transmit power to compensate for different propagation path losses, so as to achieve precise power control. This paper proposes a binary exponential power control algorithm suitable for 5G networked UAV transmitters and presents the entire power control process including the open-loop phase and the closed-loop phase. The effects of power control factors on coverage probability, spectrum efficiency and energy efficiency under different 3D distances are simulated and analyzed. The results show that the optimal power control factor can be found from the point of view of energy efficiency.

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