• Title/Summary/Keyword: cognitive wireless network

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New Energy Efficient Clear Channel Assessment for Wireless Network

  • Shin, Soo-Young;Ramachandran, Iyappan;Roy, Sumit
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.8
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    • pp.1404-1422
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    • 2011
  • In this paper, a new clear channel assessment (CCA) method: cascaded-CCA, is proposed. The primary motivation for the proposed approach is to integrate the respective advantages of two standard CCA mechanisms, energy detect and preamble detect, to arrive at a new dual threshold CCA family that can provide greater flexibility towards tuning MAC performance. Cascaded-CCA integrates energy efficiency of the energy detector (ED) and the reliability of the preamble detector (PD). The probability of detection/false alarm and power consumption of cascaded-CCA in the CCA modules of IEEE 802.11b are analyzed and compared with ED and PD as an example. The performance of cascaded-CCA is explored via MATLAB simulations that implement the CCA modules and medium access control (MAC) protocol for IEEE 802.11 and IEEE 802.15.4. Simulation results showed that cascaded-CCA improves the energy efficiency significantly compared to ED-only or PD-only CCA. In addition, ED, PD, and cascaded CCA are applied to a cognitive network scenario to validate the effectiveness of the proposed cascaded-CCA.

Femtocell Networks Interference Management Approaches

  • Alotaibi, Sultan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.329-339
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    • 2022
  • Small cells, particularly femtocells, are regarded a promising solution for limited resources required to handle the increasing data demand. They usually boost wireless network capacity. While widespread usage of femtocells increases network gain, it also raises several challenges. Interference is one of such concerns. Interference management is also seen as a main obstacle in the adoption of two-tier networks. For example, placing femtocells in a traditional macrocell's geographic area. Interference comes in two forms: cross-tier and co-tier. There have been previous studies conducted on the topic of interference management. This study investigates the principle of categorization of interference management systems. Many methods exist in the literature to reduce or eliminate the impacts of co-tier, cross-tier, or a combination of the two forms of interference. Following are some of the ways provided to manage interference: FFR, Cognitive Femtocell and Cooperative Resource Scheduling, Beamforming Strategy, Transmission Power Control, and Clustering/Graph-Based. Approaches, which were proposed to solve the interference problem, had been presented for each category in this work.

Mode Detection and Synchronization for an OFDM-Based Cognitive Radio with Fractional Bandwidth Mode (부분대역모드를 지원하는 OFDM 기반 인지 라디오 시스템에서 모드 검출 및 동기 기법)

  • Won, Jae-Yeon;Kim, Yun-Hee;Hwang, Sung-Hyun;Um, Jung-Sun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.11C
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    • pp.1095-1101
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    • 2007
  • For the cognitive radio (CR) systems sharing the spectrum with narrowband primary devices, this paper presents a fractional bandwidth (FBW) mode utilizing a variable portion of the system band to avoid the interference to or from the primary devices. For the method, the preamble and FBW mode detection algorithm are provided to obtain the FBW mode information during the synchronization. Simulation results in wireless regional area network (WRAN) environments reveal that the FBW mode can be detected reliably without any deterioration of the synchronization performance.

A Predictive Connection Admission Control Using Neural Networks for Multiclass Cognitive Users Radio Networks (멀티 클래스 인지 사용자 네트워크에서 신경망을 이용한 예측 연결수락제어)

  • Lee, Jin-Yi
    • Journal of Advanced Navigation Technology
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    • v.17 no.4
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    • pp.435-441
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    • 2013
  • This paper proposes a neural net based-predictive connection admission control (CAC) scheme for multiclass users in wireless cognitive radio networks. We classifies cognitive users(cu) into real and non real time services, and then permit only real time services to reserve the demanded resource for spectrum handoff in guard channel for provisioning the desired QoS. Neural net is employed to predict primary user's arrival on time and demanded channels. Resource scheduling scheme is based on $C_IA$(cognitive user I complete access) shown in this paper. For keeping primary users from interference, the CAC is performed on only cognitive user not primary user. Simulation results show that our schemes can guarantee the desired QoS by cognitive real time services.

Point-to-Point Communication of Cognitive Radios via Underlay Spectrum Sharing (언더레이 주파수 공유를 이용한 인지무선 통신장치의 점대점 통신방법)

  • Lee, Hye-Won;Han, Kwang-Hun;Hwang, Young-Woo;Choi, Sung-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9A
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    • pp.697-703
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    • 2009
  • Cognitive radios are typically known to exploit vacant spectrum resources in order not to interfere with primary communication systems. However, cognitive radios may not be able to secure a clear spectrum band in a bustling spectrum band. Underlay spectrum sharing provides a way to cope with such a spectrum sharing problem. Cognitive radios share the same spectrum band with the spectrum licensees, i.e., primary users, by adjusting signal transmission power so as not to severely deteriorate the performance of the primary users. We propose an underlay spectrum sharing policy leveraging uplink spectrum resource to be used in a cellular network. A pair of end terminals attempts to establish a direct point-to-point link, and perform as cognitive radios in the sense that they share the uplink radio resource of other primary users. We formulate the transmit power constraints of the cognitive radios and propose a practical uplink band sharing framework. Our simulation results demonstrate that such an uplink sharing underlay direct link can enhance the throughput performance of point-to-point link with low overhead.

Joint Optimization for Congestion Avoidance in Cognitive Radio WMNs under SINR Model

  • Jia, Jie;Lin, Qiusi;Chen, Jian;Wang, Xingwei
    • ETRI Journal
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    • v.35 no.3
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    • pp.550-553
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    • 2013
  • Due to limited spectrum resources and differences in link loads, network congestion is one of the key issues in cognitive radio wireless mesh networks. In this letter, a congestion avoidance model with power control, channel allocation, and routing under the signal-to-interference-and-noise ratio is presented. As a contribution, a nested optimization scheme combined with a genetic algorithm and linear programming solver is proposed. Extensive simulation results are presented to demonstrate the effectiveness of our algorithm.

Application of Congnitive Radio Technology on Next-Generation Terminal (인지 무선 기술의 차세대 단말 적용)

  • Bae, Jung-Nam;Lee, So-Young;Chung, Kyou-Il;Kim, Jin-Young
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.117-120
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    • 2009
  • In this paper, a CR(Cognitive Radio) based on SDR(Software Defined Radio) is the technology combined a method selecting available frequency by recognizing surroundings with a learning algorithm continuously updating basic functions for communication and various environment parameters. Recently, as increasing demands with development of wireless communication service, CR is in the spotlight as technology using frequency resource efficiently. In order to apply CR system to the terminal and implement it, the research field to be preceded can be divided large as a hardware part and a software part. It can be also divided into RF processing and digital signal processing in the hardware part. In this paper, we look over preceding techniques required for applying CR system to the terminal, and research the forms of the terminal when they practically apply to the terminal.

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Physical Layer Security in Underlay CCRNs with Fixed Transmit Power

  • Wang, Songqing;Xu, Xiaoming;Yang, Weiwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.260-279
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    • 2015
  • In this paper, we investigate physical layer security for multiple decode-and-forward (DF) relaying underlay cognitive radio networks (CRNs) with fixed transmit power at the secondary network against passive eavesdropping attacks. We propose a simple relay selection scheme to improve wireless transmission security based on the instantaneous channel information of all legitimate users and the statistical information about the eavesdropper channels. The closed-form expressions of the probability of non-zero secrecy capacity and the secrecy outage probability (SOP) are derived over independent and non-identically distributed Rayleigh fading environments. Furthermore, we conduct the asymptotic analysis to evaluate the secrecy diversity order performance and prove that full diversity is achieved by using the proposed relay selection. Finally, numerical results are presented to verify the theoretical analysis and depict that primary interference constrain has a significant impact on the secure performance and a proper transmit power for the second transmitters is preferred to be energy-efficient and improve the secure performance.

The Frequency Sharing Scheme for Cognitive Radio System based on Interference Temperature Modeling (Cognitive Radio 시스템을 위한 간섭온도 기반의 주파수 공유 기법)

  • Park, Jae-Suk;Choi, Joo-Pyoung;Lee, Won-Cheol
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.143-144
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    • 2007
  • In this paper, we proposed the scheme in which the CR user can coexist with the primary user assumed to be 802.11b WLAN (Wireless Local Area Network) in the 2.4 GHz ISM (Industrial, Scientific and Medical) band without harming the primary user based on interference temperature. Based upon the systematic process introduced in this paper, the coexistence of CR user would be possible.

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Opportunistic Spectrum Access Using Optimal Control Policy in RF Energy Harvesting Cognitive Radio Networks (무선 에너지 하비스팅 인지 무선 네트워크에서 최적화 제어 정책을 이용한 선택적 스펙트럼 접근)

  • Jung, Jun Hee;Hwang, Yu Min;Cha, Gyeong Hyeon;Kim, Jin Young
    • Journal of Satellite, Information and Communications
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    • v.10 no.3
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    • pp.6-10
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    • 2015
  • RF energy harvesting technology is a promising technology for generating the electrical power from ambient RF signal to operate low-power consumption devices(eg. sensor) in wireless communication networks. This paper, motivated by this and building upon existing CR(Cognitive Radio) network model, proposes a optimal control policy for RF energy harvesting CR networks model where secondary users that have low power consumption harvest ambient RF energy from transmission by nearby active primary users, while periodically sensing and opportunistically accessing the licensed spectrum to the primary user's network. We consider that primary users and secondary users are distributed as Poisson point processes and contact with their intended receivers at fixed distances. Finally we can derive the optimal frame duration, transmission power and density of secondary user from the proposed model that can maximize the secondary users's throughput under the given several conditions and suggest future directions of research.