• Title/Summary/Keyword: 인지 무선망

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Performance Comparison of Opportunistic Spectrum Access Schemes in Non-slotted Cognitive Radio Networks Through Simulation Research (시뮬레이션 분석을 통한 비 슬롯 모드 인지 무선망에서 기회적 스펙트럼 접속 방식의 성능 비교)

  • Lee, Yutae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.6
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    • pp.1318-1323
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    • 2013
  • We consider the design of opportunistic spectrum access schemes where secondary users can opportunistically access unused spectrum in non-slotted primary systems. Two non-slotted spectrum sensing and access schemes for secondary users are considered. We present experimental results that demonstrate the performance of the considered schemes.

Improvement of Resource Utilization by Dynamic Spectrum Hole Grouping in Wideband Spectrum Cognitive Wireless Networks (광대역 스펙트럼 인지 무선망에서 동적 스펙트럼홀 그룹핑에 의한 자원이용률 향상)

  • Lee, Jin-yi
    • Journal of Advanced Navigation Technology
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    • v.24 no.2
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    • pp.121-127
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    • 2020
  • In this paper, we propose a dynamic spectrum hole grouping method that changes the grouping range of spectrum hole according to the resources amount required by secondary users in wideband spectrum cognitive wireless networks, and then the proposed method is applied to channel allocation for the secondary user service. The proposed method can improve waste of resources in the existing static spectrum hole grouping in virtue of grouping dynamically as much the predicted spectrum holes resources as secondary users require. Simulation results show that channel allocation method with the proposed dynamic grouping outperforms that with the static grouping method in resources utilization under acceptable secondary user service performance.

A Study on Wireless Network Resource Utilization Method for Application QoS Satisfaction (Wireless Cellular network 에서 Application QoS를 보장하기 위한 무선자원 이용에 대한 연구)

  • Kim, Sun-Ju;Park, Yun-Sang;Eom, Young-Ik
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10d
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    • pp.460-465
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    • 2006
  • 멀티미디어 Application의 QoS(Quality of Service) 를 보장하기 위해서 유선 망 에서도 종단간 자원을 예약하는 방법을 쓰거나 서비스 차등을 위해서 서비스 차등 클래스를 두어서 차등 서비스로 멀티미디어 Application의 QoS를 보장한다. 현재 광범위하게 퍼져 있는 무선 Network에서도 멀티미디어 Application QoS가 중요한 이슈 이고 유선망은 무선망과 달리 망 자체의 Error rate이 더 높기 때문에 더 민감하게 QoS를 보장 해야 할 것이다. 이 논문에선 무선망인 Cellular network에서 Application QoS를 보장하기 위해서 자원을 어떻게 활용할 것인지에 대한 방법을 제시하고자 한다.

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An Effective Frequency Sharing Method using Cognitive Radio in GSO Satellite Network (인지무선 라디오 기술을 이용한 효율적인 GSO 위성망 주파수 공유방법)

  • Jung, Won-Sik;Jang, Sung-Jeen;Cho, Jae-Bum;Kim, Jae-Moung
    • Journal of Satellite, Information and Communications
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    • v.5 no.2
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    • pp.57-63
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    • 2010
  • Many efficient frequency sharing methods are issued in present because of increasing users with various wireless communication terminals. In the satellite communications, the service coverage is generally very wide so frequency sharing with terrestrial system is essentially needed, and the research is progressing dynamically related on this frequency sharing method. But if we adopt the terrestrial system which is commonly used, it can't avoid the interference from terrestrial service to satellite service. Therefore, this paper will introduce methods for reducing the interference from terrestrial station to earth station using cognitive radio system Satellite system is guaranteed with decreasing interference from terrestrial stations using Genetic Algorithm based power control method. Furthermore, terrestrial systems can have increased QoS because the frequency reuse factor in proposed method is higher than existing methods.

Study on Cognitive Engine Platform Based on the Spectrum Sharing for the Military Tactical Communications (군 전술 통신에서의 주파수 공동사용 기반 인지엔진 플랫폼 연구)

  • Choi, Joo-Pyoung;Lee, Won-Cheol
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.7
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    • pp.599-611
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    • 2016
  • This paper proposes a cognitive engine platform that enables dynamic spectrum access(DSA) based on a spectrum sharing system for the military tactical network environment. The current military tactical wireless communication system is increasing need to secure a supplementary wireless spectrum to ensure that multiple wireless networks for different weapon systems co-exist, so that tactical wireless communication between the same or different systems can be operated effectively. This paper examined policy development and research activities engaged by the U.S. and European countries on wireless spectrum sharing to secure more spectrum. It also introduces the current status of cognitive engine development, which is the core technology of tactical wireless communication for DSA. In addition, based on the investigation performed into the latest trends, we propose a platform structure for a cognitive engine based on a spectrum sharing method where more frequencies can be added for tactical radio communication, so that DSA can be realized, and wireless networks of different weapon systems can co-exist.

Channel Allocation Using Mobile Mobility and Neural Net Spectrum Hole Prediction in Cellular-Based Wireless Cognitive Radio Networks (셀룰러 기반 무선 인지망에서 모바일 이동성과 신경망 스펙트럼 홀 예측에 의한 채널할당)

  • Lee, Jin-yi
    • Journal of Advanced Navigation Technology
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    • v.21 no.4
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    • pp.347-352
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    • 2017
  • In this paper, we propose a method that reduces mobile user's handover call dropping probability by using cognitive radio technology(CR) in cellular - based wireless cognitive radio networks. The proposed method predicts a cell to visit by Ziv-Lempel algorithm, and then supports mobile user with prediction of spectrum holes based on CR technology when allocated channels are short in the cell. We make neural network predict spectrum hole resources, and make handover calls use the resources before initial calls. Simulation results show CR technology has the capability to reduce mobile user handover call dropping probability in cellular mobile communication networks.

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.

A Call Admission Control Using Markovian Queueing Model for Multi-services Cognitive Radio Networks (멀티 서비스 무선 인지 망을 위한 마르코프 큐잉모델을 이용한 호 수락 제어)

  • Lee, Jin-Yi
    • Journal of Advanced Navigation Technology
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    • v.18 no.4
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    • pp.347-352
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    • 2014
  • In this paper, we propose a Markovian queueing model(M/M/1)-based call admission control to reduce forced terminating rate of non-real secondary user's call for Multi-services Cognitive Radio Networks. A existing control has a problem that the forced terminating rate increases because of adopting a policy of spectrum priority allocation to real calls. In our scheme the rate can be reduced as the call that has no useful spectrum waits in a queue until getting an available spectrum. Our scheme use a neural-net based prediction of primary user's reappearance. Through the simulation, we analysis the call forced terminating rate, access delay and spectrum utilization efficiency, and then show that our scheme can more reduce the forced terminating rate of the call, compared to that of the existing algorithm.

Markov Chain Analysis of Opportunistic Cognitive Radio with Imperfect Sensing (불완전 센싱 기회적 인지 전파망의 Markov Chain 분석)

  • Ahn, Hong-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.1-8
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    • 2010
  • Wireless multimedia service through the access to mobile telephone network or data network is a vital part of contemporary life, and the demand for frequency spectrum for new services is expected to explode as the ubiquitous computing proliferate. Cognitive radio is a technology, which automatically recognizes and searches for temporally and spatially unused frequency spectrum, then actively determines the communication method, bandwidth, etc. according to the environment, thus utilizing the limited spectrum resources efficiently. In this paper, we investigate the effects of imperfect sensing, misdetection and false alarm, on the primary and secondary users' spectrum usage through the analysis of continuous time Markov Chain. We analyzed the effects of the parameters such as sensing error, offered load on the system performance.

Recurrent Neural Network Based Spectrum Sensing Technique for Cognitive Radio Communications (인지 무선 통신을 위한 순환 신경망 기반 스펙트럼 센싱 기법)

  • Jung, Tae-Yun;Jeong, Eui-Rim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.6
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    • pp.759-767
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    • 2020
  • This paper proposes a new Recurrent neural network (RNN) based spectrum sensing technique for cognitive radio communications. The proposed technique determines the existence of primary user's signal without any prior information of the primary users. The method performs high-speed sampling by considering the whole sensing bandwidth and then converts the signal into frequency spectrum via fast Fourier transform (FFT). This spectrum signal is cut in sensing channel bandwidth and entered into the RNN to determine the channel vacancy. The performance of the proposed technique is verified through computer simulations. According to the results, the proposed one is superior to more than 2 [dB] than the existing threshold-based technique and has similar performance to that of the existing Convolutional neural network (CNN) based method. In addition, experiments are carried out in indoor environments and the results show that the proposed technique performs more than 4 [dB] better than both the conventional threshold-based and the CNN based methods.