Coordinated Multipoint Joint Transmission Algorithm with Cognitive Radio Network for Improvement in Advance Cellular Communication

2020 ◽  
Vol 6 (6) ◽  
pp. 38-42
Author(s):  
Satyabrat Kumar ◽  
Prof. Rajdeep Shrivastava
Keyword(s):  
Cognitive Radio ◽  
Channel Assignment ◽  
Cognitive Radio Network ◽  
Cellular Communication ◽  
Base Number ◽  
Radio Network ◽  
Logical Model ◽  
Radio System ◽  
Coordinated Multipoint ◽  
Joint Transmission

Cognitive radio (CR) has been proposed as an innovation to improve the range use effectiveness by giving a sharp access of the unused/underutilized range to unlicensed clients. Then, coordinated multipoint joint transmission (JT) is another promising method to improve the presentation of cognitive radio system. In this paper, we propose a CR framework with coordinated mul-tipoint JT strategy. A logical model is created for the got signal-to-commotion proportion at a CR to decide the vitality recognition limit and the base number of required examples for vitality location based range detecting in a CR organize (CRN) with CoMP JT procedure. The exhibition of vitality identification based range detecting under the created expository model is assessed by recreation and saw as dependable. It is figured an enhancement issue for a CRN with coordinated multipoint JT strategy to design the channel assignment and client planning for expanding the base throughput of the clients.  

Channel assignment mechanism for cognitive radio network with rate adaptation and guard band awareness: batching perspective

2020 ◽  
Vol 26 (6) ◽  
pp. 4477-4489 ◽  
Author(s):  
Haythem Bany Salameh ◽  
Noor Al-Nusair ◽  
Sharhabeel H. Alnabelsi ◽  
Khalid A. Darabkh
Keyword(s):  
Cognitive Radio ◽  
Channel Assignment ◽  
Cognitive Radio Network ◽  
Rate Adaptation ◽  
Radio Network ◽  
Guard Band

scholarly journals Method for optimization of frequency resource allocation with frequency reuse for cognitive radio system

Radiotekhnika ◽  
2021 ◽  
pp. 73-79
Author(s):  
Yu.Yu. Kolyadenko ◽  
О.V. Kolyadenko ◽  
B.P. Mulyar
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Frequency Band ◽  
Cognitive Radio Network ◽  
Frequency Reuse ◽  
Radio Network ◽  
Approximate Methods ◽  
Radio System ◽  
Radio Frequency Spectrum ◽  
Subscriber Station

The concept of cognitive radio can be described as a radio with the study of capabilities, i.e. as a radio that is able to gain knowledge about the radio environment and adjust its operating parameters and protocols accordingly. The task of minimizing the frequency band is relevant at the stage of the cognitive radio network functioning when distributing the frequency resource between subscriber stations. With the ever-growing demand for frequency bands, this challenge is driven by the need to improve the efficient use of the radio frequency spectrum through frequency reuse methods. This paper proposes a method for ensuring the reuse of frequencies based on obtaining estimates of mutual distances between subscriber stations in real time. An algorithm is proposed for solving the problem of frequency resource allocation optimization for a cognitive radio network with frequency reuse. The algorithm is based on the method of local optimization, one of the approximate methods of discrete programming. In this case, the condition of local optimality is that the operating frequency assigned to the next subscriber station must be the closest to the frequency assigned in the previous step. The efficiency of the frequency resource optimization algorithm for the LTE network was analyzed using simulation modeling. The dependences of the bandwidth on the number of subscriber stations served are obtained. The analysis showed that the use of this algorithm allows to reduce the frequency band by 2 -3 times. The analysis also showed that the efficiency of the algorithm increases with the growth of the number of subscriber stations served simultaneously.

A Novel Weighted Cluster Based Co-operative Spectrum Sensing Scheme for Cognitive Radio Network

2020 ◽  
Vol 10 ◽  
Author(s):  
Md. Anamul Kabir ◽  
Anjon Sarker ◽  
Abdullah Al-Mamun Bulbul ◽  
Himadri Shekhar Mondal
Keyword(s):  
Cognitive Radio ◽  
Fading Channel ◽  
Cognitive Radio Network ◽  
Base Station ◽  
Probability Of Detection ◽  
Radio Network ◽  
Radio System ◽  
Probability Of False Alarm ◽  
Channel Bandwidth ◽  
Sensing Performance

Cognitive radio can be described as a radio system where it familiarizes to the situations of the environs by some procedure like analyzing, observing and learning. Cognitive radio can basically recycle the unused white space in the license spectrum through sensing the network thus the method can achieve the maximum implementation of the radio bandwidth. When we forward the sensing observation to the cognitive radio base station via any fading channel, sensing performance will relentlessly be degraded. With the intention of lessening the fading and shadowing, co-operative detection is favored over independent detection. For sensing AND rule, OR rule and K-out-of-N rule has much better sensing result compared to the independent detection. Clustered based cooperation has been employed to expand the sensing enactment moderately. Sensing of co-operative spectrum which is weighted has been used to boost the cluster cooperation scheme. But weighted cluster also has some downsides which can be overcome by planning a new algorithm where the usage of channel bandwidth is reduced. Regarding to the probability of detection and the probability of false alarm, the simulation outcomes show the improvement for our proposed method.

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