Cooperative relay to improve diversity in cognitive radio networks

Zhang, Qian; Jia, Juncheng; Zhang, Jin

doi:10.1109/mcom.2009.4785388

Cited by 378 publications

(190 citation statements)

References 8 publications

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“…Simulation results show the algorithm can guarantee minimum QoS requirements of real-time traffic and non-real-time traffic by setting a different index weights. The algorithm provides a good fair performance, and can significantly reduce the average power interference to authorized users caused by cognitive users [16].…”

Section: Discussionmentioning

confidence: 99%

A Cross-layer Scheduling Algorithm Based on Cognitive Radio Network

Ji¹,

Nie²,

Yuan³

2013

Appl. Math. Inf. Sci.

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Cognitive radio network users have different QoS requirements. In order to provide different QoS requirements to users as well as increase the capacities of the cognitive radio networks, this paper presents a first in-depth comparative study on different factors effect QoS which include system performance, power interference, wireless channel conditions, services priorities and fairness constraints. A cross-layer scheduling algorithm which could optimize system performance and control power interference is proposed. Latency default probability of real-time users and throughput performance of non-real-time users are respectively used to measure the fairness of real-time operational system and non-real-time operational system. Simulation results are computed and the results are shown. Delay performance of real-time traffic and throughput performance of non-real-time traffic are guaranteed by setting reasonable weight to index. And power interference to authorized users caused by cognitive radio network users reduces obviously. And system obtains a very good fair performance.

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Section: Discussionmentioning

confidence: 99%

A Cross-layer Scheduling Algorithm Based on Cognitive Radio Network

Ji¹,

Nie²,

Yuan³

2013

Appl. Math. Inf. Sci.

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“…After its success in conventional wireless networks [11], cooperative communication techniques were used extensively in CRNs [12], [13]. For instance, cooperative diversity was used to transmit data with higher capacity to maximize throughput [13] and to enhance the end-to-end throughput [14].…”

Section: A Cooperation-based Protocolsmentioning

confidence: 99%

Channel Selection scheme for Cooperative Routing protocols in Cognitive Radio Networks

Guirguis

ElNainay

2017

2017 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-Cognitive radio networks (CRNs) propose a smart solution for spectrum usage inefficiency. Routing protocols for CRNs follow different criteria to choose the best route to the destination and to avoid the interference with primary users. Some protocols use cooperative communication techniques to achieve the full coexistence between secondary users (SUs) and primary users (PUs). Although using such cross-layer techniques have a great impact on the quality of the chosen routes, the existing work do not choose the best channel to send the data over. Thus, the available spectrum is not utilized efficiently. In this work, we propose CSCR, a channel selection scheme for cooperation-based routing protocols in CRNs. The proposed scheme increases the spectrum utilization through integrating the channels selection in the route discovery phase of the cooperation-based routing protocols. The best channels, that are less congested with primary users and that lead to minimum switching overhead, are chosen while constructing the cooperative group. Evaluating CSCR via NS2 simulations shows that it outperforms its counterparts in terms of goodput, end-to-end delay, and packet delivery ratio. The proposed scheme can enhance the network goodput, in some cases, by more than 150%, as compared to other related protocols.

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“…Moreover, when PU begins to utilize the licensed spectrum again, CR can notice their activity by sensing, this way no damaging interference is spawned due to SUs' transmission. Hence managing the spectrum is effectively done [3].…”

Section: Fig 1 Spectrum White Space Illustrationmentioning

confidence: 99%

Survey on Relay Selection Techniques in Cognitive Networks

Bouallegue

Sethom

2016

IRA-JTE

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Cognitive radio holds great promise as a research area nowadays. By increasing the spectral efficiency, it is applicable to various areas I. INTRODUCTIONSince the technology of wireless communication is quickly developing; heterogeneous wireless communication system must be adjusted in reduced frequency bandwidth. The efficiency of the conventional orthogonal spectral separation of heterogeneous system is not sufficient to sustain the unceasing growth of wireless device deploying exigency, making spectrum sharing amongst heterogeneous systems increasingly important. Two main challenges for the future of wireless systems are raised: the high data rate request of the growing number of users and the wireless spectrum availability. By reusing the underused licensed frequency bands, Cognitive Radio (CR) is presented as a new facet of telecommunication system to resolve the issue of spectrum availability. In such system, unlicensed wireless users (secondary users) are dynamically granted access to the licensed bands under the compulsion of tolerable interference to the Primary Users (PU). To facilitate the spectrum sharing among Secondary Users SUs and PUs, there are two existing techniques: The spectrum overlay and the spectrum underlay. In the first method, the SU shares some its power resources with the PU to give a relay-assisted transmission. Hence, the secondary network offsets the forced interference by the increase in the signal to interference plus noise ratio (SINR) of primary receivers. Thenceforth, the core idea of the overlay approach is to assign power and channel assets to the entire network, while using the requirements of PUs. To prevail over the spectral efficiency loss of one-way half duplex, [1] implements a two-way relaying.

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Cooperative relay to improve diversity in cognitive radio networks

Abstract: Article Information 1. Cooperative relay to improve diversity in cognitive radio networks

Cited by 378 publications

References 8 publications

A Cross-layer Scheduling Algorithm Based on Cognitive Radio Network

A Cross-layer Scheduling Algorithm Based on Cognitive Radio Network

Channel Selection scheme for Cooperative Routing protocols in Cognitive Radio Networks

Survey on Relay Selection Techniques in Cognitive Networks

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