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EAI Endorsed Transactions on Cognitive Communications

Issue 11, 2017
Editor(s)-in-Chief: Tao Chen

  • Asymptotic Approximation of the Standard Condition Number Detector for Large Multi-Antenna Cognitive Radio Systems

    Appears in:
    cogcom 17(11): e1

    Authors:
    Hussein Kobeissi, Youssef Nasser, Amor Nafkha, Oussama Bazzi, Yves Louet

    Abstract:
    Standard condition number (SCN) detector is a promising detector that can work eÿciently in uncertain environments. In this paper, we consider a Cognitive Radio (CR) system with large number of antennas (eg. Massive MIMO) and we provide an accurate and simple closed form approximation for the SCN d…Standard condition number (SCN) detector is a promising detector that can work eÿciently in uncertain environments. In this paper, we consider a Cognitive Radio (CR) system with large number of antennas (eg. Massive MIMO) and we provide an accurate and simple closed form approximation for the SCN distribution using the generalized extreme value (GEV) distribution. The approximation framework is based on the moment-matching method where the expressions of the moments are approximated using bi-variate Taylor expansion and results from random matrix theory. In addition, the performance probabilities and the decision threshold are considered. Since the number of antennas and/or the number of samples used in the sensing process may frequently change, this paper provides simple form decision threshold and performance probabilities o ering dynamic and real-time computations. Simulation results show that the provided approximations are tightly matched to relative empirical ones.
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  • Large-Signal Analysis and Characterization of a RF SOI-based Tunable Notch Antenna for LTE in TV White Space Frequency Spectrum

    Appears in:
    cogcom 17(11): e2

    Authors:
    E. Ben Abdallah, S. Bories, D. Nicolas, A. Giry, C. Delaveaud

    Abstract:
    The demand for spectrum resources has increased dramatically with the explosion of wireless mobile devices and services. The Cognitive Radio (CR) associated with TV white space frequencies defined between 470 MHz to 790 MHz is one solution to excel the spectrum resources shortage and address LTE lo…The demand for spectrum resources has increased dramatically with the explosion of wireless mobile devices and services. The Cognitive Radio (CR) associated with TV white space frequencies defined between 470 MHz to 790 MHz is one solution to excel the spectrum resources shortage and address LTE low bands. The antenna design to cover such a wide band is a twofold challenge. First Electromagnetic fundamental limits impose a tradeoff between antenna efficiency, miniaturization and its frequency band wideness, secondly to be implemented in portable device (around 10 cm typical length) the antenna miniaturization needs is to be strong such as in λ/6 (where λ is the wavelength at 500 MHz). Thus, frequency reconfigurable antennas are suitable candidates and can be easy integrated. In this paper a compact frequency-agile notch antenna for LTE low-band using TV white space frequencies is designed and fabricated. The 18 x 3 mm notch size (area dedicated for the antenna) is only λ/33 at 500 MHz. The antenna aperture tuning is provided by a SOI CMOS tunable capacitor. The novelty of this paper is to present not only classical metrics (gain, return loss…) but also the experimental characterization of parameters that are usually used for active RF components. The non-standard tunable capacitor RF non linearity analysis is carried on and analyzed. The simulated and experimental performances are presented and demonstrate antenna tuning operation from 800 MHz down to 500 MHz. The slot electrical near field distribution is also investigated to confirm acceptable electrical field within the tunable component. High linearity is validated with measured ACLR levels lower than -30 dBc up to 22 dBm input power in the considered frequency range.
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  • Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis

    Appears in:
    cogcom 17(11): e3

    Authors:
    Vincent Savaux, Apostolos Kountouris, Yves Louet, Christophe Moy

    Abstract:
    In this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable throughput capacity of such networks. Furthermore, we compare the randommulti-ch…In this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable throughput capacity of such networks. Furthermore, we compare the randommulti-channel access with a cognitive radio systemin which the users are able to minimize the channels occupancy. Besides, we show that the sampling rate can be reduced under the Nyquist rate if the use of the spectrum resource is known at the gateway side. This scenario is referred as "cognitive radio" context. The mathematical developments and results are illustrated through various simulations results. The proposed model is particularly relevant in analyzing the performance of networks where the users are not synchronized neither in time nor in frequency as it is often the case in various Internet of Things (IoT) applications.
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  • Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments

    Appears in:
    cogcom 17(11): e4

    Authors:
    A. Nasser, A. Mansour, K. C. Yao, H. Abdallah, A. Abdul Ghani

    Abstract:
    In Full-d uplex Cognitiv e Radios, the silen t period of the Secondary User (SU) during the Spectrum Sensing can be elimina ted by appl ying the Self -Interf erence Cancella tion (SIC). Due to the channel estima tion error and the hardw are imperf ections (the Phase Noise and the Non-Linear Distort…In Full-d uplex Cognitiv e Radios, the silen t period of the Secondary User (SU) during the Spectrum Sensing can be elimina ted by appl ying the Self -Interf erence Cancella tion (SIC). Due to the channel estima tion error and the hardw are imperf ections (the Phase Noise and the Non-Linear Distortion (NLD)) SIC is not perf ectl y perf ormed and resul ts in the Resid ual Self -Interf erence (RSI) which a ects the Spectrum Sensing reliability . In this paper , the e ect of RSI on Spectrum Sensing is anal yticall y deriv ed by expressing the detection (pd ) and false alarm (pf a) probabilities under FD in terms of the ones under Half -Duplex (HD) (where SU shoul d remain silen t during the Spectrum Sensing period). In addition, an algorithm is proposed to suppress the NLD and improv es the Spectrum Sensing perf ormance. Hereinafter , the SU throughput under FD is anal ysed comparing to HD by deriving the upper and lower bounds to be respected by pf a and pd respectiv ely in order to make FD beneficia rela tiv e to HD.
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  • Social Cognitive Cooperation for Device to Device Communications

    Appears in:
    cogcom 17(11): e5

    Authors:
    Anna Vizziello, Riccardo Amadeo, Lorenzo Favalli

    Abstract:
    Device-to-device (D2D) communication has been proposed as a solution to facilitate high data rate applications among nearby devices, to improve spectrum utilization and the overall throughput. We envision a social-cognitive architecture as a candidate solution for D2D communication, where the devic…Device-to-device (D2D) communication has been proposed as a solution to facilitate high data rate applications among nearby devices, to improve spectrum utilization and the overall throughput. We envision a social-cognitive architecture as a candidate solution for D2D communication, where the devices not only share content but also the identified available channels in a novel social way. Some of the traÿc load can thus be managed by D2D peers thanks to their cognitive capabilities and social sharing. Moreover, it is possible to reduce some intensive operations of the cognitive cycle, such as the sensing operation, since the sharing information is less energy demanding. The main features of the social cognitive architecture for D2D communication are presented. Moreover, the existing state of the art is described, as well as the research challenges, and a new procedure for an energy eÿcient social information sharing and resource allocation.
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Scope

The application of intelligent technologies in communication systems could be tracked back into 1990s. The emerging of cognitive radio targeted on the revolutionary spectrum access paradigm has sparked a radical change on wireless system design, development and performance analysis. Since then the …

The application of intelligent technologies in communication systems could be tracked back into 1990s. The emerging of cognitive radio targeted on the revolutionary spectrum access paradigm has sparked a radical change on wireless system design, development and performance analysis. Since then the state-of-the art of wireless communications has been significantly advanced, from substantial improvement on spectrum usage, smart adaptation and coexistence in radio and network environments, fundamental enhancement on performance and capacity, to considerable reduction of complexity in network management. After a decade of research on cognitive radio and networks, the concept of cognition has been naturally and widely extended to whole communication areas, not limited to wireless systems, but also in wired networks. Cognitive technologies become promising tools for the communication industry to meet the challenge of coming data traffic tsunami. Solutions for energy efficient, sustainable future Internet are heavily relied on advanced cognitive technologies, new ways of thinking on network design and development, as well as new theoretic foundations. We believe cognitive communication technologies will remain an important and active area of research for next several decades. It becomes necessary to provide a common forum to publish high quality papers, and to offer readers a single source to get inspiring ideas and important findings in this area. It is our honor to create, for the first time, dedicated transactions on cognitive technologies for communications, to fulfill this purpose. The aims of the transactions are: • to provide a dedicated platform for timely publishing of high quality, peer-reviewed, original papers in fields of cognitive communications; • to become a highly cited source of latest findings in cognitive radio and cognitive communication networks; • to become a leading journal that advances the state-of-the art of communications from a well-focused direction. The transactions provide flexible means to publish latest results in a timely manner. It accepts the submission of: • regular research papers, for original scientific contributions, • fast-track communications, for short findings, • topical reviews. The scope of the transactions includes, but not limited to: • Information-theoretic aspects of cognitive communication systems • Spectrum sensing and dynamic spectrum access • Spectrum pricing, economics models and game-theoretical strategies • Interference analysis and statistical models of spectrum usage • Physical (PHY) layer design for cognitive radios • Dynamic medium access control techniques for cognitive communication systems • Dynamic resource allocation in cognitive communication systems • Co-existence of heterogeneous networks • Artificial intelligence and machine learning for cognitive communication systems • Bio-inspired communication systems • Cooperative techniques in cognitive communication systems • Cross-layer optimization for cognitive communication systems • Routing and network technologies for cognitive communication systems • Trust and security issues in cognitive communication systems • Energy-efficiency design in cognitive communication systems • Software defined radio • Self-organizing networks

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Topics

The scope of the transactions includes, but not limited to:

  • Information-theoretic aspects of cognitive communication systems
  • Spectrum sensing and dynamic spectrum access
  • Spectrum pricing, economics models and game-theoretical strategies
  • Interference analysis and statistical mode…

The scope of the transactions includes, but not limited to:

  • Information-theoretic aspects of cognitive communication systems
  • Spectrum sensing and dynamic spectrum access
  • Spectrum pricing, economics models and game-theoretical strategies
  • Interference analysis and statistical models of spectrum usage
  • Physical (PHY) layer design for cognitive radios
  • Dynamic medium access control techniques for cognitive communication systems
  • Dynamic resource allocation in cognitive communication systems
  • Co-existence of heterogeneous networks
  • Artificial intelligence and machine learning for cognitive communication systems
  • Context-aware, emotion-aware, as well as personalized cognitive communication systems
  • (Big) data analytics for cognitive communication systems
  • Cognitive communication systems for the Internet of Things (IoT)
  • Bio-inspired communication systems
  • Cooperative techniques in cognitive communication systems
  • Cross-layer optimization for cognitive communication systems
  • Routing and network technologies for cognitive communication systems
  • Trust, security, and privacy issues in cognitive communication systems
  • Energy-efficiency design in cognitive communication systems
  • Software defined radio
  • Self-organizing, self-aware, and self-adaptive networks
  • Applications enabled by cognitive communication systems
  • Open source for cognitive communications
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Indexing

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Editorial Board

  • Antti Anttonen (VTT, Finland)
  • Aawatif Hayar (University Hassan II Casablanca, Morocco)
  • Abdur Rahim Biswas (Create-Net, Italy)
  • Bo Li (Harbin Institute of Technology at Weihai)
  • Fei Wang (Nanjing University of Aeronautics and Astronautics)
  • Hong Jiang (South West University…
  • Antti Anttonen (VTT, Finland)
  • Aawatif Hayar (University Hassan II Casablanca, Morocco)
  • Abdur Rahim Biswas (Create-Net, Italy)
  • Bo Li (Harbin Institute of Technology at Weihai)
  • Fei Wang (Nanjing University of Aeronautics and Astronautics)
  • Hong Jiang (South West University of Science and Technology)
  • Javier Del Ser (Tecnalia and University of the Basque Country)
  • Javier Jel Ser (TECNALIA Research & Innovation, Spain)
  • Jianhua Zhang (Beijing University of Posts and Telecommunications, China)
  • Lijun Qian (Prairie View A&M University, USA)
  • Marcos Katz (University of Oulu, Finland)
  • Mikko Valkama (Tampere University of Technology, Finland)
  • Pinyi Ren (Xi’an Jiaotong University, China)
  • Tao Han (Huazhong University of Science and Technology)
  • Wei Cheng (The George Washington University, USA)
  • Weidang Lu (Zhejiang University of Technology)
  • Xianfu Chen (VTT, Finland)
  • Xiang Chen (Tsinghua University, China)
  • Xiangping Zhai (Nanjing University of Aeronautics and Astronautics)
  • Xiaolong Yang (Chongqing University of Posts and Telecommunications)
  • Xuanheng Li (Dalian University of Technology)
  • Xueyan Zhang (Dalian University of Technology)
  • Yan Zhang (Simula Research Laboratory, Norway)
  • Yong Wang (Chongqing University of Posts and Telecommunications)
  • Zheng Chang (University of Jyväskylä)
  • Zhengquan Li (School of Iot Engineering, Jiangnan.University)
  • Zhenyu Na (School of Information Science and Technology, Dalian Maritime University)
  • Zhiwei Mao (Fairleigh Dickinson University, USA)
  • Murat Kuscu (Koc University, Turkey)
  • Pandelis Kourtessis (University of Hertfordshire, UK)
  • Klaus Moessner (University of Surrey, UK)
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Journal Blurb

<p>This journal is closed, meaning new submissions are not being considered. We have merged the journal with <a title="EAI Endorsed Transactions on Mobile Communications and Applications" href="http://eudl.eu/journal/mca">EAI Endorsed Transactions on Mobile Communications and Applications</a>, thus…

<p>This journal is closed, meaning new submissions are not being considered. We have merged the journal with <a title="EAI Endorsed Transactions on Mobile Communications and Applications" href="http://eudl.eu/journal/mca">EAI Endorsed Transactions on Mobile Communications and Applications</a>, thus, please send your article to this title.</p>

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Publisher
EAI
ISSN
2313-4534
Volume
3
Published
2017-05-31