ISSN: 2313-4534

Issue 2, 2015

Editor(s)-in-Chief: Tao Chen

Articles
Information

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks
Appears in:
cogcom 15(2): e1

Authors:
Lijun Qian, Oluwaseyi Omotere, Riku Jäntti

Abstract:
The demand for wireless services is growing on a daily basis while spectral resources to support this growth are static. Therefore, there is need for the adoption of a new spectrum sharing paradigm. Cognitive Radio (CR) is a revolutionary technology aiming to increase spectrum utilization through…The demand for wireless services is growing on a daily basis while spectral resources to support this growth
are static. Therefore, there is need for the adoption of a new spectrum sharing paradigm. Cognitive Radio
(CR) is a revolutionary technology aiming to increase spectrum utilization through dynamic spectrum access,
as well as mitigating interference among multiple coexisting wireless networks. In many practical scenarios,
multiple CR networks may coexist in the same geographical area, and they may interfere with each other and
also have to yield to the primary user (PU). In this study, we investigate how much throughput a node in a CR
network can achieve in the presence of another CR network and a PU. The results of this study illustrate how
the transmission probability and sensing performance affect the achievable throughput of a node in coexisting
CR networks. In addition, these results may serve as guidance for the deployment of multiple CR networks.
more »
Spectrum Occupancy Measurements in the 2.3-2.4 GHz band: Guidelines for Licensed Shared Access in Finland
Appears in:
cogcom 15(2): e2

Authors:
Marko Höyhtyä, Marja Matinmikko, Xianfu Chen, Juhani Hallio, Jani Auranen, Reijo Ekman, Juha Röning, Jan Engelberg, Juha Kalliovaara, Tanim Taher, Ali Riaz, Dennis Roberson

Abstract:
This paper presents results from spectrum occupancy measurements in the 2.3-2.4 GHz band at Turku, Finland. The band is currently under study in European regulation and standardization for mobile communication systems. We review the recently introduced Licensed Shared Access (LSA) concept as a po…This paper presents results from spectrum occupancy measurements in the 2.3-2.4 GHz band at Turku, Finland. The band
is currently under study in European regulation and standardization for mobile communication systems. We review the
recently introduced Licensed Shared Access (LSA) concept as a potential means for making the 2.3-2.4 GHz band
available for mobile communications on a shared basis while protecting the rights of the incumbent spectrum users. The
spectrum occupancy measurements conducted in one location in Finland show that the use of this band is rather low
indicating that there might be potential for mobile communication systems to share this band with the incumbents under
the LSA approach. Based on the obtained knowledge about the use of the studied band in Finland we create a set of
guidelines for LSA to make the operation efficient both from the technical and economic viewpoint.
more »
A Reputation-based Distributed District Scheduling Algorithm for Smart Grids
Appears in:
cogcom 15(2): e3

Authors:
D. Borra, M. Iori, C. Borean, F. Fagnani

Abstract:
In this paper we develop and test a distributed algorithm providing Energy Consumption Schedules (ECS) in smart grids for a residential district. The goal is to achieve a given aggregate load prole. The NP-hard constrained optimization problem reduces to a distributed unconstrained formulation b…In this paper we develop and test a distributed algorithm providing Energy Consumption Schedules (ECS) in
smart grids for a residential district. The goal is to achieve a given aggregate load prole. The NP-hard
constrained optimization problem reduces to a distributed unconstrained formulation by means of Lagrangian
Relaxation technique, and a meta-heuristic algorithm based on a Quantum inspired Particle Swarm with Levy
flights. A centralized iterative reputation-reward mechanism is proposed for end-users to cooperate to avoid
power peaks and reduce global overload, based on random distributions simulating human behaviors and
penalties on the eective ECS diering from the suggested ECS. Numerical results show the protocols
eectiveness.
more »
Switching Brains: Cloud-based Intelligent Resources Management for the Internet of Cognitive Things
Appears in:
cogcom 15(2): e4

Authors:
R. Francisco, A.M. Arsenio

Abstract:
Cognitive technologies can bring important benefits to our everyday life, enabling connected devices to do tasks that in the past only humans could do, leading to the Cognitive Internet of Things. Wireless Sensor and Actuator Networks (WSAN) are often employed for communication between Internet obj…Cognitive technologies can bring important benefits to our everyday life, enabling connected devices to do tasks that in the past only humans could do, leading to the Cognitive Internet of Things. Wireless Sensor and Actuator Networks (WSAN) are often employed for communication between Internet objects. However, WSAN face some problems, namely sensors’ energy and CPU load consumption, which are common to other networked devices, such as mobile devices or robotic platforms. Additionally, cognitive functionalities often require large processing power, for running machine learning algorithms, computer vision processing, or behavioral and emotional architectures. Cloud massive storage capacity, large processing speeds and elasticity are appropriate to address these problems. This paper proposes a middleware that transfers flows of execution between devices and the cloud for computationally demanding applications (such as those integrating a robotic brain), to efficiently manage devices’ resources.
more »
High-level Programming and Symbolic Reasoning on IoT Resource Constrained Devices
Appears in:
cogcom 15(2): e6

Authors:
Sal vatore Gaglio, Giuseppe Lo Re, Gloria Martorella, Daniele Peri

Abstract:
While the vision of Internet of Things (IoT) is rather inspiring, its practical implementation remains challenging. Conventional programming approaches prove unsuitable to provide IoT resource constrained devices with the distributed processing capabilities required to implement intelligent, auto…While the vision of Internet of Things (IoT) is rather inspiring, its practical implementation remains
challenging. Conventional programming approaches prove unsuitable to provide IoT resource constrained
devices with the distributed processing capabilities required to implement intelligent, autonomic, and
self-organizing behaviors. In our previous work, we had already proposed an alternative programming
methodology for such systems that is characterized by high-level programming and symbolic expressions
evaluation, and developed a lightweight middleware to support it. Our approach allows for interactive
programming of deployed nodes, and it is based on the simple but e
ective paradigm of executable code exchange among nodes. In this paper, we show how our methodology
can be used to provide IoT resource constrained devices with reasoning abilities by implementing a Fuzzy
Logic symbolic extension on deployed nodes at runtime.
more »
Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
Appears in:
cogcom 15(2): e5

Authors:
Shah Nawaz Khan, Andreas Mitschele-Thiel

Abstract:
This paper presents a novel concept of active radio spectrum profiling f or Cognitive Radio (CR) networks using evolutionary hypernetworks. Spectrum profiling enables cognitive radio nodes to abstract and predict usable spectrum opportunities in pre-defined P rimary Users ( PU) c hannels. T he PU…This paper presents a novel concept of active radio spectrum profiling f or Cognitive Radio (CR) networks
using evolutionary hypernetworks. Spectrum profiling enables cognitive radio nodes to abstract and predict
usable spectrum opportunities in pre-defined P rimary Users ( PU) c hannels. T he PU c hannels a re actively
monitored through spectrum sensing and the resulting binary time series are used for channel abstraction
and prediction. An overlay spectrum sharing approach is assumed in this paper and the evolutionary
hypernetworks are used for the realization of the radio spectrum profiling concept. The abstracted information
not only facilitates the optimization of channel selection and mobility, but also improves the quality of service
for the secondary user applications. This paper presents the main concepts, their application to CR ad hoc
networks, and an analysis of its impact on the CR network performance.
more »

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 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

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

DOAJ
DBLP
CrossRef
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[TOC Premier (EBSCO)](https://www.ebsco.com/…

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)

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…

Publisher: ICST
ISSN: 2313-4534
Volume: 1

Published: 2015-05-28

EUDL

Performance Analysis on the Coexistence of Multiple Cognitive Radio Networks

Spectrum Occupancy Measurements in the 2.3-2.4 GHz band: Guidelines for Licensed Shared Access in Finland

A Reputation-based Distributed District Scheduling Algorithm for Smart Grids

Switching Brains: Cloud-based Intelligent Resources Management for the Internet of Cognitive Things

High-level Programming and Symbolic Reasoning on IoT Resource Constrained Devices

Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks

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