scholarly journals Algorithm for Determining the Probability of Arrival of an SU to a Base Station in Cognitive Radio Networks

2017 ◽  
Vol 9 (3) ◽  
pp. 1837-1844
Author(s):  
Danilo Alfonso López ◽  
Leyla Carolina Sarmiento ◽  
Edwin Rivas Trujillo
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Base Station

scholarly journals Outage Analysis of Relay-Assisted NOMA in Cooperative Cognitive Radio Networks with SWIPT

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 500
Author(s):  
Kun Tang ◽  
Shaowei Liao
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spectrum Sharing ◽  
Relay Node ◽  
Radio Networks ◽  
Base Station ◽  
Cooperative Cognitive Radio Networks ◽  
Analytical Results ◽  
Simulation Results ◽  
Outage Probabilities

In this paper, we investigate a relay-assisted cooperative spectrum sharing for the considered non-orthogonal multiple access (NOMA) scheme in cognitive radio networks, where the relay node assists the base station (BS) to transmit the superimposed composite signal to two receivers by utilizing an amplified-and-forward (AF) technique with simultaneous wireless information and power transfer (SWIPT). The exact expressions for outage probabilities of two receivers are derived in closed forms. Moreover, a joint optimization of power allocation and the proportion of information splitting for energy harvesting is proposed in terms of energy efficiency (EE) maximization under required data reliability. Simulation results validate the analytical results since the analytical results match well with simulation results and demonstrate the performance advantages of the proposed scheme over other schemes and direct transmission.

Performance Analysis of Hybrid Fusion in Cognitive Radio Networks

2013 ◽  
Vol 479-480 ◽  
pp. 1027-1031
Author(s):  
Man Man Guo ◽  
Yun Xue Liu ◽  
Wen Qiang Fan
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Signal To Noise Ratio ◽  
Radio Networks ◽  
Base Station ◽  
Good Choice ◽  
Signal To Noise ◽  
Noise Ratio ◽  
The Impact ◽  
Hybrid Fusion

Spectrum sensing is a crucial issue in cognitive radio networks for primary user detection. Cooperative sensing based on energy detection in the cognitive radio network with multiple antennas base-station is considered in this letter. To improve the sensing performance, we investigate hybrid fusion of the observed energies from the base-station and decisions (1bit, hard information) from different cognitive radio (CR) users around the base-station. Further, we present an optimized scheme where the global detection probability can be maximized according to the Neyman-Pearson criterion. Finally the impact of the change of parameters (Signal to Noise Ratio and number of CR users) in the optimized scheme is analyzed. Numerical simulations and extensive analysis confirm that hybrid fusion base on the optimized scheme is a good choice, also, Signal to Noise Ratio (SNR) and number of CR users does not have influence on the optimized scheme

scholarly journals Performance Analysis of Reduced Handoff Interruption Time and Energy Utilization in Cognitive Radio Networks by Unmanned Area Vehicle

2019 ◽  
Vol 8 (4) ◽  
pp. 9483-9486
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Communication Systems ◽  
Data Exchange ◽  
Mobile Station ◽  
Radio Networks ◽  
Base Station ◽  
Energy Utilization ◽  
Handover Management ◽  
Management Algorithm

The WiMAX (Worldwide Interoperability Microwave Access) is important in communication systems. Mobility is also important in WiMax to achieve high speed in data exchange over the medium. During the exchange of data handoff may be occurred.This paper is focused on handoff in WiMAX and MS (Mobile Station). The Handover Management Algorithm is used to avoid handoff in addition to improve the handover interruption time and to decrease the signaling transaction during the handover procedure we used Global Position System (GPS) to perform handoff faster. GPS has been introduced in this paper to find the position of the MS and BS then the MS will automatically choose BS by routing. We developed a new algorithm to improve the handoff interruption by introducing Time Division Multiple Access (TDMA).The MS finds its position using GPS and find the distance to the SBS (Source Base Station) and nearby BSs. In the next step,MS selects the target BS based on distance. Moreover we combine Handover Management Algorithm (HMA) with Cognitive radio networks (CRNs) for which are the way out for the trouble of underutilizing the license spectrum for which there are more needs in the final pair of decades. The congestion of the wireless spectrum has triggered a stringent contest for panic network resources.

Performance Evaluation of GSM Traffic Transmission over Cognitive Radio Networks under Opportunistic Spectrum Sharing Collisions

2014 ◽  
pp. 152-173
Author(s):  
Abdelaali Chaoub ◽  
Elhassane Ibn-Elhaj
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spectrum Sharing ◽  
High Reliability ◽  
Radio Networks ◽  
Base Station ◽  
New Paradigm ◽  
Secondary Users ◽  
Secondary Use ◽  
Opportunistic Spectrum Sharing

Cognitive Radio networks and channel sharing are emerging as a new paradigm of communication in multimedia and wireless networks. In this chapter, the authors consider a secondary use application that consists of carrying TDMA traffic between the mobile and the base station for GSM networks over a Cognitive Radio network. Therefore, packets are not only lost by reason of Primary traffic interruptions, but the authors consider the opportunistic spectrum sharing which is the cornerstone of the Cognitive Radio concept as the major cause of collisions between several Secondary Users. The authors introduce their specific collision model, and they propose a solution consisting of the creation of many secondary user links with high reliability using a specific algorithm introduced here to alleviate traffic collisions. The authors evaluate the secondary traffic transmission performance in view of the Spectral Efficiency, and they outline the achieved gains of using the proposed solution. Finally, the authors highlight the recent trend in CR literature, which consists of leveraging the TV white spaces to deploy and enhance next generation cellular networks such as LTE.

scholarly journals Social Optimization and Pricing Policy in Cognitive Radio Networks with an Energy Saving Strategy

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Shunfu Jin ◽  
Si Chen ◽  
Jinliang Zhang
Keyword(s):  
Cognitive Radio ◽  
Energy Saving ◽  
Cognitive Radio Networks ◽  
Process Model ◽  
Arrival Rate ◽  
Radio Networks ◽  
Base Station ◽  
Single Server ◽  
Pricing Policy ◽  
Optimal Behavior

The rapid growth of wireless application results in an increase in demand for spectrum resource and communication energy. In this paper, we firstly introduce a novel energy saving strategy in cognitive radio networks (CRNs) and then propose an appropriate pricing policy for secondary user (SU) packets. We analyze the behavior of data packets in a discrete-time single-server priority queue under multiple-vacation discipline. With the help of a Quasi-Birth-Death (QBD) process model, we obtain the joint distribution for the number of SU packets and the state of base station (BS) via the Matrix-Geometric Solution method. We assess the average latency of SU packets and the energy saving ratio of system. According to a natural reward-cost structure, we study the individually optimal behavior and the socially optimal behavior of the energy saving strategy and use an optimization algorithm based on standard particle swarm optimization (SPSO) method to search the socially optimal arrival rate of SU packets. By comparing the individually optimal behavior and the socially optimal behavior, we impose an appropriate admission fee to SU packets. Finally, we present numerical results to show the impacts of system parameters on the system performance and the pricing policy.

scholarly journals Tradeoff Analysis between Spectral and Energy Efficiency Based on Sub-Channel Activity Index in Wireless Cognitive Radio Networks

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 323 ◽  
Author(s):  
Prince Semba Yawada ◽  
Mai Trung Dong
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cognitive Radio ◽  
Power Allocation ◽  
Cognitive Radio Networks ◽  
Activity Index ◽  
Spectrum Management ◽  
Radio Networks ◽  
Base Station ◽  
Channel Activity

In recent years, there has been a rapid evolution of wireless technologies that has led to the challenge of high demand for spectral resources. To overcome this challenge, good spectrum management is required that calls for more efficient use of the spectrum. In this paper, we present a general system, which makes a tradeoff between the spectral efficiency (SE) and energy efficiency (EE) in the cellular cognitive radio networks (CCRN) with their respective limits. We have analyzed the system taking into account the different types of power used in the CCRN, namely the spectrum detection power (Zs) and the relay power (Zr). Optimal policy for emission power allocation formulated in the function of sub-channel activity index (SAI) as an optimization problem in order to maximize spectrum utilization and minimize the energy consumption in the base station of the secondary system energy consumption, is subject to different constraints of the main user system. We also evaluate the collaborative activity index of the sub-channel describing the activity of the primary users in the CCRN. The theoretical analyses and simulation results sufficiently demonstrate that the SE and EE relationship in the CCRN is not contrary and thus the achievement of optimal tradeoff between SE and EE. By making a rapprochement with a cognitive cellular network where SBSs adopts an equal power allocation strategy for sub-channels, the results of our proposed scheme indicate a significant improvement. Therefore, the model proposed in this paper offers a better tradeoff between SE and EE.

scholarly journals Analysing Primary Signal Sensing Test in Cognitive Radio Networks Using an Alpha-Beta Filter and a Neyman-Pearson Detector

2018 ◽  
Vol 3 (2) ◽  
pp. 70-80
Author(s):  
Haroun Errachid Adardour ◽  
Samir Kameche
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Signal To Noise Ratio ◽  
Signal Strength ◽  
Multipath Fading ◽  
False Alarm Probability ◽  
Radio Networks ◽  
Base Station ◽  
Primary Signal ◽  
Alpha Beta

The signal strength sensing in the context of cognitive radio networks (CRNs), is very important to predict the primary signal of base station (PBS), particularly when the secondary user (SU) is in a congested environment, and also when is in motion towards the end of coverage of PBS. However, this article presents an analysis on the prediction of primary signal strength in CRNs using an Alpha-Beta Filter (ABF) and a Neyman-Pearson Detector (NPD). The challenge of this contribution is based on a realistic sensing of primary signal strength and to do that, we have assumed that the reporting channels between the SU and the PBS are composited with the shadowing and multipath fading (SMF), and the receiver noise has also added. In this regard, the obtained results were discussed through: the signal-to-noise ratio (SNR) uncertainty, the detection probability (PD) and the False Alarm Probability (PFA), where the average relative error of prediction for the PD will be equal to10-5.

scholarly journals Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio Networks

2020 ◽  
Author(s):  
Abhishek Kumar ◽  
Nitin Gupta ◽  
Riya Tapwal
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Radio Networks ◽  
Base Station ◽  
Final Decision ◽  
Spectrum Utilization ◽  
Malicious Nodes ◽  
Hidden Terminal

<div>Emerging of Cognitive Radio (CR) technology has</div><div>provided optimistic solution for the dearth of spectrum by</div><div>improving the spectrum utilization. The opportunistic use of the spectrum is enabled by spectrum sensing which is one of the key functionality of CR systems. To perform the interference free transmission in a cognitive radio networks, an important part for unlicensed user is to identify a licensed user with the help of spectrum sensing. Recently, the Cooperative Spectrum Sensing has been widely used in the literature where various scattered unlicensed users collaborate with each other to make the final sensing decision. This overcome the hidden terminal problem</div><div>and also improve the overall reliability of the decisions made</div><div>about the presence or absence of a licensed user. Each unlicensed user send the sensing results to the base station for final decision. However there exist some nodes which do not provide the correct sensing results to maximize their own profit which can highly degrade the CR network functionality. In this paper, a trust aware model is proposed for detection of misbehaving nodes such that their sensing reports can be filter out from the final result. The performance evaluation of the proposed scheme is done by checking its robustness and efficiency against various possible attacks. </div>

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