22,270 resources related to Cognitive Radio
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The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.
ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
RWW2020 will be an international conference covering all aspects of radio and wireless. RWW2020's multidisciplinary events will bring together innovations that are happening across the broad wireless spectrum. RWS2020, this conference application, acts as the main conference for the entire RWW of events that includes the following conferences: PAWR2020, SiRF2020, WiSNet2020, and TWiOS2020 (IEEE Topical Conference on RF/microwave Power Amplifiers, IEEE Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems, IEEE Topical Conference on Wireless Sensors and Sensor Networks, and IEEE Topical Workshop on the Internet of Space IoS, respectively). In addition to traditional podium presentations and poster sessions, tracks for IEEE Distinguished Lectures, Sunday half-day workshops, Monday panels, and a demo session are planned. A RWW2020 plenary talk are a parallel IoT Summit are planned. A student competition is also planned.
IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
2007 Asia-Pacific Microwave Conference, 2007
Nowadays, many researchers are interested in cognitive radio (CR) technology. We can say that the CR is the extended technology of software defined radio. Both technologies seem to be similar but there is an important difference. That is a sensing and channel management function. CR always senses incumbent users (IU) (or primary users) appearing on the channel the CR has ...
Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON), 2011
This is the second paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. We propose two methods for robust spectrum sensing in the same framework ...
2010 10th International Symposium on Communications and Information Technologies, 2010
Fast Fourier transform (FFT) is widely used in signal processing and communications such as digital filtering, spectral analysis, and multicarrier cognitive radio systems based on OFDM (orthogonal frequency-division multiplexing) and FBMC (filter-bank multi-carriers). There are several methods that have been developed to eliminate or reduce the computation within a DFT if the input points have many zeros or the number ...
2013 International Conference on Wireless Communications and Signal Processing, 2013
In this paper, we introduce the idea of compressive sensing (CS) into primary user emulation attack (PUEA) detection in cognitive radio networks. We can distinguish whether the signal transmitters are primary users or PUEAs by obtaining the locations of transmitters through processing the received signal strength (RSS) readings. Since the RSS has redundancy in spatial domain, we employ CS theory ...
2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2010
Cognitive radio has recently been proposed as an efficient paradigm to solve the spectrum scarcity in modern communication systems. In this paper, we consider spectrum sharing cognitive radio networks that utilize spectrum bands licensed to primary network. Spectrum sharing cognitive radio networks operate by ensuring that interference power at primary receiver remains below a certain threshold. We analyze the performance ...
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
The Largest Cognitive Systems will be Optoelectronic: an ICRC 2018 Talk
IEEE 125th Anniversary Media Event: Cognitive Computing
IMS 2014: Super High Bit Rate Radio Access Technologies for Small Cells Using Higher Frequency Bands
Robotics History: Narratives and Networks Oral Histories: Raja Chatila
IMS 2011 Microapps - Digital Radio Testing Using an RF Channel Replicator
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
Self-Organization with Information Theoretic Learning
Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Neural Cognitive Robot: Learning, Memory and Intelligence
TryEngineering Careers with Impact: Mataric
Computing Paradigms: The Largest Cognitive Systems Will Be Optoelectronic - Jeff Shainline - ICRC 2018
Engineering Social Good: Technology and Moral Responsibility | IEEE TechEthics Virtual Panel
Ultra Reliable Low Latency Communication for 5G New Radio - Rapeepat Ratasuk - 5G Technologies for Tactical and First Responder Networks 2018
Brooklyn 5G Summit 2014: Modeling the Indoor Radio Propagation with Dr. K Haneda
Shortwave Radio Calls - Gertjan van Stam - Why I Joined
An 802.11ba 495μW -92.6dBm-Sensitivity Blocker-Tolerant Wake-up Radio Receiver - Renzhi Liu - RFIC 2019 Showcase
Cognitive RAN: Next Generation 6G Network - Parag Naik - India Mobile Congress, 2018
Nowadays, many researchers are interested in cognitive radio (CR) technology. We can say that the CR is the extended technology of software defined radio. Both technologies seem to be similar but there is an important difference. That is a sensing and channel management function. CR always senses incumbent users (IU) (or primary users) appearing on the channel the CR has been used and the CR must evacuate from that channel for preventing IU from interferences. For this purpose, CR should include a functionality of being able to find new relevant channel to move. So, CR must evaluate the quality of empty channels. From the point of view, we propose the HMM based channel status predictor, which helps the CR evaluate the quality. We will implement a HMM channel predictor and it will predict next channel status based on past channel states.
This is the second paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. We propose two methods for robust spectrum sensing in the same framework of cognitive radio network. The first method is based on robust principal component analysis (PCA), to separate spectrum sensing results into the low rank signal matrix and the sparse attack matrix. Using sparse attack cancellation in least squares, the second method iteratively estimates the relative transmitted power of primary user under the threats of attackers. Then the relative transmitted power of primary user can be calculated from the recovered signal matrix. Both two methods can detect the sparse compromised cognitive radio nodes and effectively obtain the relative transmitted power.
Fast Fourier transform (FFT) is widely used in signal processing and communications such as digital filtering, spectral analysis, and multicarrier cognitive radio systems based on OFDM (orthogonal frequency-division multiplexing) and FBMC (filter-bank multi-carriers). There are several methods that have been developed to eliminate or reduce the computation within a DFT if the input points have many zeros or the number of output points acquired is relatively small, for example, transform decomposition (TD). TD can be seen as a modified Cooley-Tukey FFT where the DFT is decomposed into two smaller DFTs. In this paper, we propose a computationally efficient method for sparse input points DFT based on TD approach. The numerical analysis results show that the proposed method is more efficient than the conventional TD.
In this paper, we introduce the idea of compressive sensing (CS) into primary user emulation attack (PUEA) detection in cognitive radio networks. We can distinguish whether the signal transmitters are primary users or PUEAs by obtaining the locations of transmitters through processing the received signal strength (RSS) readings. Since the RSS has redundancy in spatial domain, we employ CS theory to save the number of measurement sensors and messages need to be collected. Additionally, the number of measurements is dominated by the number of PUEA being sensed, the conventional algorithms with fixed measurement number have poor performances in physical situations where number of PUEA is unknown and changing. So, we propose an adaptive orthogonal matching pursuit algorithm (AOMP) to adapt to the changing cases of PUEA. Simulation results show that the location reconstruction of changing PUEA by AOMP algorithm outperforms traditional OMP algorithm with better accuracy. As a result, the channel utilization can be greatly improved.
Cognitive radio has recently been proposed as an efficient paradigm to solve the spectrum scarcity in modern communication systems. In this paper, we consider spectrum sharing cognitive radio networks that utilize spectrum bands licensed to primary network. Spectrum sharing cognitive radio networks operate by ensuring that interference power at primary receiver remains below a certain threshold. We analyze the performance of the spectrum sharing cognitive radio networks with multiuser selection. Analytical and simulation results show that multiuser diversity gain in each network is substantially larger than that in the conventional wireless networks.
Cognitive radio systems provide dynamic spectrum access, which is expected to improve frequency use efficiency. These systems need a sensing function to avoid interference from other radio stations. However, it is impossible to completely avoid interference because no perfect sensing function has been developed. To solve this problem, we propose using a new cognitive radio system with three main functions: cooperative sensing, interference alerting, and frequency management. We developed and evaluated a prototype of the system and found that the system is effective.
Cognitive radio has become an effective theory to solve the inefficiency of the spectrum usage, and cooperative spectrum sensing among the secondary users to detect the primary user accurately is broadly studied before. In this paper, we employ a double threshold method in energy detector to perform spectrum sensing, while a fusion center in the cognitive radio network collects the local decisions and observational values of the secondary users, and then makes the final decision to determine whether the primary user is absence or not. Simulation results will show that the spectrum sensing performance in AWGN channels is improved significantly under the proposed scheme as opposed to the conventional method.
This paper describes a business case scenario and gives the results of a business case analysis for deployment of a sensor network aided cognitive radio system in a typical European city. The main idea behind the business case is that several spectrum owners will establish a joint venture and this joint venture will get the right to use the “unused” spectrum resources of all the companies in a cognitive way. The joint venture will base its operation on a Wireless Sensor Network aided Cognitive Radio concept, which means that a network of fixed sensors is deployed in order to improve the system's capabilities for detecting primary users and spectrum holes. The main value of the business case calculation is to identify critical aspects influencing the profitability so that future research and development work can focus on them. It is found that the most critical aspects are the fixed sensor density, the fixed sensor operational costs and the number of new cognitive base station sites required.
This paper systematically investigates the novel idea of applying the next generation wireless technology, cognitive radio network, for the smart grid. In particular, system architecture, algorithms, and hardware testbed are studied. A microgrid testbed supporting both power flow and information flow is also proposed. Control strategies and security considerations are discussed. Furthermore, the concept of independent component analysis (ICA) in combination with the robust principal component analysis (PCA) technique is employed to recover data from the simultaneous smart meter wireless transmissions in the presence of strong wideband interference. The performance illustrates the gain of bringing the state of the art mathematics to smart grid.
Sensing the radio environment is probably the most important and challenging aspect in cognitive radio systems. Traditional sensing techniques have proven shortcomings ranging from inaccuracy to implementation complexity. Chirp signal is a wideband signal with variety of applications in communication and signal processing. In this paper, we introduce a novel approach for sensing the radio spectrum using chirp signal. This method is showing potential to improve sensing in cognitive radio environment at tolerable level of complexity.
This recommended practice will provide technical guidelines for analyzing the potential for coexistence or in contrast interference between radio systems operating in the same frequency band or between different frequency bands.
This standard provides definitions and explanations of key concepts in the fields of spectrum management, cognitive radio, policy-defined radio, adaptive radio, software-defined radio, and related technologies. The document goes beyond simple, short definitions by providing amplifying text that explains these terms in the context of the technologies that use them. The document also describes how these technologies interrelate and create ...
Standard for Information Technology -Telecommunications and information exchange between systems – Wireless Regional Area Networks (WRAN) - Specific requirements - Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Policies and procedures for operation in the TV Bands
This standard specifies the air interface, including the medium access control layer (MAC) and physical layer (PHY), of fixed point-to-multipoint wireless regional area networks operating in the VHF/UHF TV broadcast bands between 54 MHz and 862 MHz.