• 제목/요약/키워드: cognitive transmission

검색결과 231건 처리시간 0.028초

무선 에너지 하비스팅 인지 무선 네트워크에서 최적의 채널 선택 정책을 이용한 채널 선택 (Channel Selection Using Optimal Channel-Selection Policy in RF Energy Harvesting Cognitive Radio Networks)

  • 정준희;황유민;차경현;김진영
    • 한국위성정보통신학회논문지
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    • 제10권3호
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    • pp.1-5
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    • 2015
  • 최근 무선 에너지 하비스팅 기술이 센서와 같은 소형 IoT 디바이스들의 크기 제한으로 인한 배터리 부족 문제의 해결방법으로 각광을 받고 있다. 이 기술이 기존의 인지무선 네트워크에 적용된다면 인지 유저들의 운용시간 증가로 인한 네트워크 처리량의 증가를 기대할 수 있다. 본 논문에서는 인지 유저(Cognitive User)가 근처에서 동작 중인 우선 유저(Primary User)의 특정 거리 안에 존재할 때 우선 유저가 전송한 통신 신호로부터 무선 에너지 하비스팅을 하고 특정 거리 밖에 존재할 때 비어있는 채널을 골라 통신을 하도록 한다. 이 때 우선 유저와 인지 유저는 Homogeneous Poisson Pont Process 형태로 분포되어 있고 통신을 하고 있는 수신자들과 일정한 거리로 떨어져있다. 위와 같은 네트워크 모델에서 주어진 여러 가지 조건하에 인지 유저 네트워크 처리량을 최대화할 수 있는 전송파워, 인지 유저 밀도 제안하고 앞으로의 연구방향을 제시한다.

Improved Parameter Estimation with Threshold Adaptation of Cognitive Local Sensors

  • Seol, Dae-Young;Lim, Hyoung-Jin;Song, Moon-Gun;Im, Gi-Hong
    • Journal of Communications and Networks
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    • 제14권5호
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    • pp.471-480
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    • 2012
  • Reliable detection of primary user activity increases the opportunity to access temporarily unused bands and prevents harmful interference to the primary system. By extracting a global decision from local sensing results, cooperative sensing achieves high reliability against multipath fading. For the effective combining of sensing results, which is generalized by a likelihood ratio test, the fusion center should learn some parameters, such as the probabilities of primary transmission, false alarm, and detection at the local sensors. During the training period in supervised learning, the on/off log of primary transmission serves as the output label of decision statistics from the local sensor. In this paper, we extend unsupervised learning techniques with an expectation maximization algorithm for cooperative spectrum sensing, which does not require an external primary transmission log. Local sensors report binary hard decisions to the fusion center and adjust their operating points to enhance learning performance. Increasing the number of sensors, the joint-expectation step makes a confident classification on the primary transmission as in the supervised learning. Thereby, the proposed scheme provides accurate parameter estimates and a fast convergence rate even in low signal-to-noise ratio regimes, where the primary signal is dominated by the noise at the local sensors.

Interference Cancellation Scheme for Three-hop Cooperative Relay Networks

  • Zhang, Yinghua;Wang, Lei;Liu, Jian;Peng, Yunfeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권9호
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    • pp.4446-4462
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    • 2019
  • In this paper, we focus on interference cancellation for three-hop cognitive radio networks (CRNs) over Rayleigh fading channels. In CRNs, secondary users (SUs) are allowed to opportunistically utilize the licensed spectrum during the idle time of primary users (PUs) to achieve spectrum sharing. However, the SUs maybe power constrained to avoid interference and cover a very short transmission range. We here propose an interference cancellation scheme (ICS) for three-hop CRNs to prolong the transmission range of SUs and improve their transmission efficiency. In the proposed scheme, a flexible transmission protocol is adopted to cancel the interference at both secondary relays and destinations at the same time. And a closed-form expression for the secondary outage probability over Rayleigh fading channels is derived to measure the system performance. Simulation results show that the proposed scheme can significantly reduce the secondary outage probability and increase the secondary diversity in comparison with the traditional cases.

Cooperative Incumbent System Protection MAC Protocol for Multi-channel Ad-hoc Cognitive Radio Networks

  • Yi, Ke;Hao, Nan;Yoo, Sang-Jo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.1976-1996
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    • 2011
  • Cognitive radio (CR) MAC protocol provides access control of unused spectrum resources without causing interference to primary users. To achieve this goal, in this paper a TDMA based cooperative multi-channel cognitive radio MAC (MCR-MAC) protocol is proposed for wireless ad hoc networks to provide reliable protection for primary users by achieving cooperative detection of incumbent system signals around the communication pair. Each CR node maintains transmission opportunity schedules and a list of available channels that is employed in the neighbor discovery period. To avoid possible signal collision between incumbent systems and cognitive radio ad hoc users, we propose a simple but efficient emergency notification message exchanging mechanism between neighbor CR nodes with little overhead. Our simulation results show that the proposed MCR-MAC can greatly reduce interference with primary users and remarkably improve the network throughput.

Throughput Analysis of CSMA/CA-based Cognitive Radio Networks in Idle Periods

  • Wang, Hanho;Hong, Daesik
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권4호
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    • pp.173-180
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    • 2014
  • Random access protocols feature inherent sensing functionality and distributed coordination, making them suitable for cognitive radio communication environments, where secondary users must detect the white space of the primary spectrum and utilize the idle primary spectrum efficiently without centralized control. These characteristics have led to the adoption of carrier-sensing-multiple-access/collision-avoidance (CSMA/CA) in cognitive radio. This paper proposes a new analytical framework for evaluating the performance of a CSMA/CA protocol that considers the characteristics of idle periods based on the primary traffic behavior in cognitive radio systems. In particular, the CSMA/CA-based secondary network was analyzed in the terms of idle period utilization, which is the average effective data transmission time portion in an idle period. The use of the idle period was maximized by taking its statistical features into consideration.

A Spectral Correlation Based Detection Method for Spectrum Sensing in Cognitive Radio

  • 한저;송정익;손성환;김재명
    • 한국통신학회논문지
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    • 제31권7C호
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    • pp.672-679
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    • 2006
  • Cognitive radio, which is designed to dynamically adapt its transmission to the environments, is believed to be one of the fundamental techniques for future spectrum utilization. As the first step of cognitive radio, spectrum sensing is treated as the most important technique, through which cognition is well explained. In this paper, we propose a spectral correlation based detection method for spectrum sensing. An unlicensed secondary user system operating in TV broadcast bands is taken as an example. Based on the cyclostationarity of communication signals, spectral correlation function is used to minimize the effect of random noise and interference. Energy measurement and peak detection based criteria are proposed. Simulation results show that the proposed detection method outperforms the energy detection and is more suitable for spectrum sensing in cognitive radios.

Enhanced Adaptive Beamforming and Null Steering Algorithms in Cognitive Radio System

  • 장치리;손성환;김재명
    • 한국통신학회논문지
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    • 제34권11A호
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    • pp.822-830
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    • 2009
  • The spectrum efficiency of mobile communication networks can be improved dramatically adopting multiple antennas technologies. In order to guarantee the licensed rights of primary user (PU), the cognitive radio system should perform in a relatively low interference manner when it gets access to the spectrum of licensed networks. In this paper, we explore a uniformly distributed circular antenna array to implement beamforming algorithm that is accomplished by optimization method at the base station of cognitive radio networks, and therefore we can suppress the interference to PU by steering quite low transmission power toward PU and constructing a narrow beam toward cognitive user (CU). By reducing the constraint number of the optimization problem, we also propose a null steering algorithm that steers rather low radiation power toward PU, while the other areas in the same cell are covered by radiation power except the local area around PU. It is pursued to reduce the computation load and enlarge the capacity of cognitive radio networks extremely. The simulation results demonstrate that the proposed algorithms process superior performance.

펄스 성형을 통한 TH-UWB 시스템 구현과 간섭 회피 제안 (TH-UWB System through Pulse Shaping and Avoiding Interference Technique)

  • 장홍모;김태훈;김동희;박호환;곽경섭
    • 한국ITS학회 논문지
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    • 제6권3호
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    • pp.111-121
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    • 2007
  • 된 논문은 국내 UWB 스펙트럼 환경에 적합하도록 펄스 성형을 통해 TH-UWB 시스템의 개념을 확장한 TH-Multiband-UWB 시스템을 구현하는 것을 그 목표로 한다. 이러한 펄스 성형을 위하여 Multi-Carrrier 형태의 전송 펄스를 제안하며, 간섭 주파수 검출을 위해 무선 인지 기술(Cognitive Radio)을 사용했다. 무선 인지 기술의 핵심이 되는 Cognitive Engine의 연산 알고리즘으로는 유전 알고리즘을 이용했다. 또한 성형된 펄스와 무선 인지 기술을 적용한 TH-UWB시스템이 동일 UWB 시스템을 비롯한 타 통신 시스템과의 간섭 상황을 해결하는 방법을 제시하였다. 이를 통해 본 논문은 무선 인지 엔진이 간섭 주파수를 찾아내는 방법을 알아보았고, 펄스 성형을 적용한 TH-UWB 시스템이 문제가 되는 간섭 상황을 해결하는데 뛰어난 성능이 있음을 확인하였다.

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Power Saving and Improving the Throughput of Spectrum Sharing in Wideband Cognitive Radio Networks

  • Li, Shiyin;Xiao, Shuyan;Zhang, Maomao;Zhang, Xiaoguang
    • Journal of Communications and Networks
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    • 제17권4호
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    • pp.394-405
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    • 2015
  • This paper considers a wideband cognitive radio network which can simultaneously sense multiple narrowband channels and thus aggregate the detected available channels for transmission and proposes a novel cognitive radio system that exhibits improved sensing throughput and can save power consumption of secondary user (SU) compared to the conventional cognitive radio system studied so far. More specifically, under the proposed cognitive radio system, we study the problem of designing the optimal sensing time and power allocation strategy, in order to maximize the ergodic throughput of the proposed cognitive radio system under two different schemes, namely the wideband sensing-based spectrum sharing scheme and the wideband opportunistic spectrum access scheme. In our analysis, besides the average interference power constraint at primary user, the average transmit power constraint of SU is also considered for the two schemes and then a subgradient algorithm is developed to obtain the optimal sensing time and the corresponding power allocation strategy. Finally, numerical simulations are presented to verify the performance of the two proposed schemes.

Improved Convolutional Neural Network Based Cooperative Spectrum Sensing For Cognitive Radio

  • Uppala, Appala Raju;Narasimhulu C, Venkata;Prasad K, Satya
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권6호
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    • pp.2128-2147
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    • 2021
  • Cognitive radio systems are being implemented recently to tackle spectrum underutilization problems and aid efficient data traffic. Spectrum sensing is the crucial step in cognitive applications in which cognitive user detects the presence of primary user (PU) in a particular channel thereby switching to another channel for continuous transmission. In cognitive radio systems, the capacity to precisely identify the primary user's signal is essential to secondary user so as to use idle licensed spectrum. Based on the inherent capability, a new spectrum sensing technique is proposed in this paper to identify all types of primary user signals in a cognitive radio condition. Hence, a spectrum sensing algorithm using improved convolutional neural network and long short-term memory (CNN-LSTM) is presented. The principle used in our approach is simulated annealing that discovers reasonable number of neurons for each layer of a completely associated deep neural network to tackle the streamlining issue. The probability of detection is considered as the determining parameter to find the efficiency of the proposed algorithm. Experiments are carried under different signal to noise ratio to indicate better performance of the proposed algorithm. The PU signal will have an associated modulation format and hence identifying the presence of a modulation format itself establishes the presence of PU signal.