• Title/Summary/Keyword: radio channel

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Rendezvous Issues in AD Hoc Cognitive Radio Networks

  • Joshi, Gyanendra Prasad;Nam, Seung Yeob;Kim, Sung Won
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.11
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    • pp.3655-3673
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    • 2014
  • Rendezvous is a process of two or more cognitive radio nodes gathering on the same channel at the same time for a negotiation to establish data communications. This paper discusses rendezvous issues in cognitive radio networks. It details why rendezvous is an issue in cognitive radio networks and how rendezvous works. It classifies channel access methods, and details sequence-based channel-hopping methods. It surveys existing works on blind rendezvous and compares the proposed algorithms in terms of the maximum time to rendezvous. This paper discusses the properties that an efficient channel-hopping rendezvous algorithm should have and illustrates common issues in the existing rendezvous methods. It also explains open research issues in the rendezvous area.

Common Control Channel Allocation in Cognitive Radio Networks through UWB Communication

  • Masri, Ahmed M.;Chiasserini, Carla-Fabiana;Casetti, Claudio;Perotti, Alberto
    • Journal of Communications and Networks
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    • v.14 no.6
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    • pp.710-718
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    • 2012
  • The implementation of a common control channel is one of the most challenging issues in cognitive radio networks, since a fully reliable control channel cannot be created without reserving bandwidth specifically for this purpose. In this paper, we investigate a promising solution that exploits the ultra wide band (UWB) technology to let cognitive radio nodes discover each other and exchange control information for establishing a communication link. The contribution of this paper is threefold: (i) We define the communication protocol needed to let cognitive radio nodes discover each other and exchange control information for link set up, (ii) we overcome the gap in coverage, which typically exists between UWB and long-medium range technologies, by using multi-hop communication, (iii) we evaluate the performance of our approach by adopting an accurate channel model and show its benefits with respect to an in-band signaling solution.

Policy-based Dynamic Channel Selection Architecture for Cognitive Radio Network (무선인지 기술 기반의 정책에 따른 동적 채널 선택 구조)

  • Na, Do-Hyun;Yoo, Sang-Jo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.6B
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    • pp.358-366
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    • 2007
  • Recently, FCC(Federal Communications Commission) has considered for that unlicensed device leases licensed devices' channel to overcome shortage of communication channels. Therefore, IEEE 802.22 WRAN(Wireless Regional Area Networks) working group progresses CR (Cognitive Radio) technique that is able to sense and adopt void channels that are not being occupied by the licensed devices. Channel selection is of the utmost importance because it can affect the whole system performance in CR network. Thus, we propose a policy-based dynamic channel selection architecture for cognitive radio network to achieve an efficient communication. We propose three kinds of method for channel selection; the first one is weighted channel selection, the second one is sequential channel selection, and the last one is combined channel selection. We can obtain the optimum channel list and allocates channels dynamically using the proposed protocol.

Joint Channel Assignment and Multi-path Routing in Multi-radio Multi-channel Wireless Mesh Network

  • Pham, Ngoc Thai;Choi, Myeong-Gil;Hwang, Won-Joo
    • Journal of Korea Multimedia Society
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    • v.12 no.6
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    • pp.824-832
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    • 2009
  • Multi-radio multi-channel Wireless Mesh Network requires an effective management policy to control the assignment of channels to each radio. We concentrated our investigation on modeling method and solution to find a dynamic channel assignment scheme that is adapted to change of network traffic. Multi-path routing scheme was chosen to overwhelm the unreliability of wireless link. For a particular traffic state, our optimization model found a specific traffic distribution over multi-path and a channel assignment scheme that maximizes the overall network throughput. We developed a simple heuristic method for channel assignment by gradually removing clique load to obtain higher throughput. We also presented numerical examples and discussion of our models in comparison with existing research.

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Channel Selection Scheme using Statistical Properties in the Cognitive Radio Networks (인지무선 네트워크에서 통계적 특성을 이용한 채널선택기법)

  • Park, Hyung-Kun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.9
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    • pp.1767-1769
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    • 2011
  • In a CR (cognitive radio) network, channel selection is one of the important issues for the efficient channel utilization. When the CR user exploits the spectrum of primary network, the interference to the primary network should be minimized. In this paper, we propose a spectrum hole prediction based channel selection scheme to minimize the interference to the primary network. To predict spectrum hole, statistic properties of primary user's traffic is used. By using the predicted spectrum hole, channel is selected and it can reduce the possibility of interference to the primary user and increase the efficiency of spectrum utilization. The performance of proposed channel selection scheme is evaluated by the computer simulation.

Distributed Channel Allocation Using Kernel Density Estimation in Cognitive Radio Networks

  • Ahmed, M. Ejaz;Kim, Joo Seuk;Mao, Runkun;Song, Ju Bin;Li, Husheng
    • ETRI Journal
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    • v.34 no.5
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    • pp.771-774
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    • 2012
  • Typical channel allocation algorithms for secondary users do not include processes to reduce the frequency of switching from one channel to another caused by random interruptions by primary users, which results in high packet drops and delays. In this letter, with the purpose of decreasing the number of switches made between channels, we propose a nonparametric channel allocation algorithm that uses robust kernel density estimation to effectively schedule idle channel resources. Experiment and simulation results demonstrate that the proposed algorithm outperforms both random and parametric channel allocation algorithms in terms of throughput and packet drops.

Channel Capacity-Based Multi-Channel Allocation in Cognitive Radio Networks (인지무선통신에서 채널 용량을 고려한 예측기반 다중채널할당기법)

  • Lee, Juhyeon;Park, Hyung-Kun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.12
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    • pp.1755-1757
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    • 2013
  • Dynamically exploiting unused-spectrum, cognitive radio has been proposed to solve spectrum utilization problem. In cognitive radio, it is important to minimize the interference to primary service as well as to provide efficient channel allocation. In this paper, we propose a multi-channel allocation scheme based on spectrum hole prediction. Proposed scheme considered both interference length and channel capacity to limit the interference to primary user as well as to enhance system performance. Simulation results show the proposed scheme improves the system throughput.

Cluster-based Minimum Interference Channel Assignment for Multi-Radio Multi-Channel Wireless Mesh Networks (멀티 라디오 멀티 채널 무선 메쉬 네트워크를 위한 클러스터 기반 최소 간섭 채널 할당)

  • Cha, Si Ho;Ryu, Min Woo;Cho, Kuk Hyun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.3
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    • pp.103-109
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    • 2010
  • Total performance is improved by minimizing the channel interference between links in wireless mesh networks (WMNs). The paper refines on the CB-CA [1] to be suitable for multi-radio multi-channel (MRMC) WMNs. The CB-CA is the cluster-based channel assignment algorithm for one radio three channel WMN based on IEEE 802.11b/g. The CB-CA does not perform the channel scanning and the channel switching between the cluster heads (CHs) and the edge gateway nodes (EGs). However, the use of co-channel for links between CHs and EGs brings the problem of channel interference among many nodes. We propose and evaluate an improved CB-CA algorithm to solve this problem in MRMC WMNs. The proposed algorithm discriminates between transmission channel and receive channel and assigns channels to each interface randomly and advertises this information to neighbor clusters in order to be assigned no-interference channel between clusters. Therefore, the proposed algorithm can minimize the interference between clusters and also improve QoS, since it can use multiple interfaces and multiple channels.

Performance Improvements in Guard Channel Scheme by Resource Prediction for Wireless Cognitive Radio-Based Cellular Networks (무선 인지 셀룰러 망에서 자원예측에 의한 가드채널 할당기법의 성능개선)

  • Lee, Jin-Yi
    • Journal of Advanced Navigation Technology
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    • v.16 no.5
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    • pp.794-800
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    • 2012
  • In this paper, we propose a scheme for improving not only the utilization of frequency bands in the guard channel scheme but also the dropping rate of cognitive radio user in the wireless cognitive radio-based cellular network. The proposed scheme enables cognitive radio users to utilize the guard channel for servicing only handoff calls in normal times, but cognitive radio users must vacate the frequency channel when handoff call appearing. At this time our scheme ensures their seamless services for cognitive radio users, by predicting handoff call's appearance by MMOSPRED (Multi-Media One Step Prediction) method and then reserving the demanded channels for spectrum handoff calls. Our simulations show that our scheme performs better than other schemes; GCS(Guard Channel Scheme) and a scheme without prediction in terms of cognitive users call's dropping rate and resource utilization efficiency.

Clustering Formation and Topology Control in Multi-Radio Multi-Channel Wireless Mesh Networks

  • Que, Ma. Victoria;Hwang, Won-Joo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.7B
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    • pp.488-501
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    • 2008
  • Convergence of various wireless systems can be cost effectively achieved through enhancement of existing technology. The emergence of Wireless Mesh Network (WMN) entails the interoperability and interconnection of various wireless technologies in one single system. Furthermore, WMN can be implemented with multi-radio and multi-channel enhancement. A multi-radio, multi-channel wireless mesh network could greatly improve certain networking performance metrics. In this research, two approaches namely, clustering and topology control mechanisms are integrated with multi-radio multi-channel wireless mesh network. A Clustering and Topology Control Algorithm (CTCA)is presented that would prolong network lifetime of the client nodes and maintain connectivity of the routers.