Wireless Transport Protocol Variants for Cognitive Radio Networks

G Shine Let; G Josemin Bala; W. Magdalene

doi:10.11591/aptikom.j.csit.144

Wireless transport protocol variants for cognitive radio networks

APTIKOM Journal on Computer Science and Information Technologies ◽

10.34306/csit.v3i3.83 ◽

2020 ◽

Vol 3 (3) ◽

pp. 106-112

Author(s):

G Shine Let ◽

G Josemin Bala ◽

W. Magdalene

Keyword(s):

Cognitive Radio ◽

Frequency Band ◽

Cognitive Radio Networks ◽

Cognitive Radio Network ◽

Transmission Control Protocol ◽

Radio Networks ◽

Transport Protocol ◽

Radio Network ◽

Communication Paradigm ◽

Wireless Transport

Scarce wireless resources, lead to development of cognitive radio network as a solution to unlicensed users communication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensed users communication need to change from one frequency band to another band. In this communication paradigm, the performance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radio network. To overcome this, several authors suggested quite a few modifications in the existing wireless transport protocol for cognitive radio network environment. This paper gives an overview of different transport protocols used for unlicensed users’ communication in cognitive radio networks.

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A research survey on scheduling techniques in lte-based network and its state of art

APTIKOM Journal on Computer Science and Information Technologies ◽

10.34306/csit.v3i2.78 ◽

2020 ◽

Vol 3 (2) ◽

pp. 51-58

Author(s):

Srinivasa R K ◽

Hemantha Kumar A.R2

Keyword(s):

Cognitive Radio ◽

Frequency Band ◽

Cognitive Radio Network ◽

Transmission Control Protocol ◽

Radio Networks ◽

Transport Protocol ◽

Radio Network ◽

Research Survey ◽

Communication Paradigm ◽

Wireless Transport

Scarce wireless resources, lead to development of cognitive radio network as a solution to unlicensed users communication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensed users communication need to change from one frequency band to another band. In this communication paradigm, the performance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radio network. To overcome this, several authors suggested quite a few modifications in the existing wireless transport protocol for cognitive radio network environment. This paper gives an overview of different transport protocols used for unlicensed users’ communication in cognitive radio networks.

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Sensor Clustering and Sensing Technology for Optimal Throughput of Sensor-Aided Cognitive Radio Networks Supporting Multiple Licensed Channels

International Journal of Distributed Sensor Networks ◽

10.1155/2015/123982 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 16

Author(s):

Thanh-Tung Nguyen ◽

Insoo Koo

Keyword(s):

Cognitive Radio ◽

Branch And Bound ◽

Cognitive Radio Networks ◽

Cognitive Radio Network ◽

Radio Networks ◽

Branch And Bound Algorithm ◽

Mixed Integer ◽

Maximization Problem ◽

Radio Network ◽

Sensor Clustering

In cognitive radio networks, secondary users may not sense licensed channels efficiently due to problems of fading channel, shadowing, unfamiliar environment, and so forth. To cope with the limitation, a pervasive sensor network can cooperate with cognitive radio network, which is called sensor-aided cognitive radio network. In the paper, we investigate sensor clustering and sensing time of each sensor cluster with aiming at achieving optimal throughput of sensor-aided cognitive radio network supporting multiple licensed channels. Moreover, the minimum throughput requirement of cognitive radio user is also guaranteed in the sensor clustering problem. To do this, we formulate the throughput maximization problem as a mixed-integer nonlinear programming and utilize the Branch and Bound algorithm to solve it. We also propose an heuristic algorithm which can provide similar performance to that of the Branch and Bound algorithm while reducing computation complexity significantly.

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Genetic Algorithm Dependent Qos Aware Adaptive Subcarrier Allocation Scheme in Cognitive Radio Networks

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.c6083.049420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 99-106

Keyword(s):

Quality Of Service ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Cognitive Radio Network ◽

Intelligent System ◽

Radio Networks ◽

Performance Standard ◽

Subcarrier Allocation ◽

Radio Network

Cognitive Radio Network technology is an efficient and intelligent system with the intention of detecting automatically about the availability of channels in a wireless spectrum and changing transmission parameters to facilitate more communication.In Quality of Service aware spectrum decision making system is locating the spectrum bands all the way through in view of the application necessities by means of the self-motivated nature of the spectrum bands.Here, an innovative adaptive sub-carrier allocation mechanism is proposed for Cognitive Radio Networks by rearranging the functional parameters anchored in the Proportional Resource Algorithm and Genetic Algorithm.This proposed scheme is designed to achieve a divergent performance standard for subcarrier allocation and power allocation system of the Cognitive Radio Network users. The suggested scheme is proven to be effective by maximizing the allocation of data rate for each subcarrier. Moreover, by increasing the overall network throughput, the numbers of satisfied users within bandwidth limits are maintained with the quality of service. In fact, it locates the maximum channel availability

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Review and Comparison of Routing Metrics in Cognitive Radio Networks

Emerging Science Journal ◽

10.28991/esj-2018-01143 ◽

2018 ◽

Vol 2 (4) ◽

Author(s):

Alaleh Asghary Astaneh ◽

Solmaz Gheisari

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Cognitive Radio Network ◽

Radio Networks ◽

Dynamic Spectrum ◽

Radio Network ◽

Routing Metrics ◽

Secondary Users ◽

Minimum Requirements

In this paper, cognitive radio network is briefly introduced as well as routing parameters in cognitive radio networks. Due to lack of Spectrum, using not efficient methods of allocating static spectrum, in cognitive radio networks dynamic accessing spectrum is functional. Utilizing opportunistic a Spectrum requires recognition of routing parameters and metrics in cognition radio networks, which means considering fulfilling the minimum requirements of quality of service (QOS) secondary users need to use the allowed range of primary (main) users. Since primary users are prior to use the spectrum, when primary and secondary users coexist, they need to monitor the bandwidth of the authorized spectrum. One of the most important stages to excess the dynamic spectrum is to explore it. Detection of the presence of the authorized users by unauthorized users is one of the things done in this stage, which is called spectroscopy. In the next stage, we used the analyzed information I was spectroscopy, to decide on accessing the spectrum. cognition radio is defined as a smart wireless communication system, which is aware of the environment and changes its job variables like power forward, type of modulation, carrier frequency etc. using environment learning. For further explaining routing metrics, we try to compare routing metrics in cognitive radio networks and wireless network and analyze its challenges in one-way routing and in multi-route routing.

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Quality of Service in Cognitive Radio Network: Issues and Challenges

Oriental journal of computer science and technology ◽

10.13005/ojcst11.01.07 ◽

2018 ◽

Vol 11 (1) ◽

pp. 34-39

Author(s):

Nisar A Lala ◽

G M Mir ◽

Altaf A Balkhi ◽

R A Simnani

Keyword(s):

Quality Of Service ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Cognitive Radio Network ◽

Radio Networks ◽

Radio Network ◽

Qos Provisioning ◽

Novel Technology ◽

Wireless Spectrum

Cognitive radio (CR) is a novel technology to resolve the issue of under-utilization of wireless spectrum. There exists number of challenges and issues in designing and implementation of the cognitive radio. Extending quality-of-service (QoS) enabled applications to CR network is even more difficult task due to non-availability of the dedicated allocation of idle spectrum. CR imposes peculiar and unique challenges to guarantee quality of service of diverse flows in contrast to other wireless networks. This paper identifies the issues and challenges of QoS provisioning in cognitive radio networks.

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Spectrum Trading Analyze in the Spectrum Sharing Framework in Cognitive Radio Networks

International Journal of Technology Diffusion ◽

10.4018/ijtd.2019010101 ◽

2019 ◽

Vol 10 (1) ◽

pp. 1-18

Author(s):

Prince Semba Yawada ◽

Mesmin J. Mbyamm Kiki ◽

Mai Trung Dong

Keyword(s):

Cognitive Radio ◽

Spectrum Sharing ◽

Cognitive Radio Network ◽

Radio Networks ◽

Radio Network ◽

Primary Operator ◽

Bertrand Model ◽

Competitive Prices ◽

Effective Design

The effective design of a cognitive radio network must take into account economic and technical aspects. This article presents a commercial formulation of the spectrum by the primary operators who decide to sell a part of their spectrum to a group of cognitive users in order to earn money and to promote the efficient use of the spectrum. Three systems of spectrum pricing are compared and suggested, such as the cooperative price based on the optimization of the profits, the market equilibrium, and the competitive prices focused on the competition of Bertrand. The Bertrand model examines the influences of certain parameters of the system such as the quality of the channel based on the Nash equilibrium and the substitutability of the spectrum. The differences in the various aspects of these systems of pricing are presented through the graphs. The authors note through the obtained result that the profit of the primary operator depends not only on the demand quantity of the spectrum but also on the behavior of the primary operators.

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Joint Channel Assignment and Power Allocation Based on Maximum Concurrent Multicommodity Flow in Cognitive Radio Networks

Wireless Communications and Mobile Computing ◽

10.1155/2018/3545946 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 4

Author(s):

Ahmed Salah ◽

Heba M. Abdel-Atty ◽

Rawya Y. Rizk

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Network ◽

Multipath Routing ◽

Multicommodity Flow ◽

Radio Network ◽

Communication Paradigm ◽

Multicommodity Flow Problem ◽

Promising Solution ◽

Joint Channel ◽

Networking Technology

Emerging cognitive radio networking technology potentially provides a promising solution to the spectrum underutilization problem in wireless access. In this paper, a cross-layer routing for secondary multihop is studied in cognitive radio network operating in television white spaces. The framework considers a joint channel, power, and routing assignment under signal to interference noise ratio (SINR) constraints. The problem is formulated as a maximum concurrent multicommodity flow problem. The goal of conducting this research is to develop a new routing protocol for the secondary multihop cognitive radio network. Therefore, the objective of this paper focuses on maximizing a flow rate scaling factor. Moreover, the paper focuses on achieving multipath routing when it is possible under SINR constraints to utilize all possible unused channels efficiently. The numerical results proved the strength of the proposed algorithm in its routing ability under the physical model of SINR, in addition to the ability of using multipath routing if there are available free channels to be used in the cognitive communication paradigm.

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