559 resources related to Wireless Spectrum
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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.
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.
IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.
This is a conference with a focus on wireless components, applications, and systems that impact both our current and future life style. The conference's main niche is to bring together technologists, circuit designers, system designers, and entrepreneurs at a single event. It was and is the place where these worlds meet, where new processes and systems can be benchmarked against the needs of circuit designers at the bleeding edge of RF systems, where today's design compromises can trigger tomorrow's advanced technologies. Where dreams can become a reality. RWS is the cornerstone conference for Radio Wireless Week.
The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state-of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors.
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.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
2011 Third International Conference on Communications and Mobile Computing, 2011
Rapid development of wireless technologies and services are increasing the demand of limited wireless spectrum. Fixed spectrum has been allocated to each application. Recent analysis shows that this scarce spectrum is not being utilized efficiently. Cognitive Radio (CR) is the developing solution of efficient spectrum utilization. Cognitive Radio is well aware of its environment and accesses the spectrum opportunistically. In ...
2010 2nd IEEE International Conference on Information Management and Engineering, 2010
Cognitive radio technology uses the ability of dynamic spectrum access to solve the problem of spectrum efficiency, but considered the view of application, the designs depended cognitive radio technology face the hardware restriction, and the cost is too expensive. Therefore the spectrum auction mechanism referenced to economic theory has a high value of application; the theory is a hot issue. ...
2008 IET International Conference on Wireless, Mobile and Multimedia Networks, 2008
With the ever growing demand for the wireless traffic it is becoming difficult to meet the demand for the service providers with the existing infrastructure. Infrastructure expansion is a very expensive option for the cellular operators. At the same time there exists huge underutilized infrastructure of fixed landline telephone network. The proposed model tries to exploit this idle infrastructure for ...
2010 International Conference on Management of e-Commerce and e-Government, 2010
Spectrum management in cognitive radio is one of the most challenging issues and has attracted much research attentions in recent years. However most of the existing works consider either online demands or scheduled demands, which may not fully capture the flexible nature of the demands in certain circumstances, such as the communication demands for a synchronized sensing data transmission in ...
2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)(, 2017
With the rapid development of radio service and monitoring facilities, radio monitoring application steps into big data era. Big data analysis technology can help us get valuable information through dealing with massive monitoring data, which offer guidance to wireless spectrum resource management, abnormal signal detection, etc. In this paper, we adopt association rule mining algorithm to realize wireless spectrum occupancy ...
802.22: Wireless Regional Area Networks
Six Years in the Making: Lego EV3 Robotic Kits arrive at CES 2013
Winning the DARPA Spectrum Collaboration Challenge - IEEE Future Networks webinar
FCC Spectrum Activities: Fueling the Internet of Things - Michael Ha - 5G World Forum Santa Clara 2018
Three Pillars of 5G - Sanjay Jha - 5G World Forum Santa Clara 2018
What's Next for Wireless Research - Monisha Ghosh - 5G World Forum Santa Clara 2018
DoD CIO Brief to JHU APL IEEE 5G Summit - Frederick Moorefield - 5G Technologies for Tactical and First Responder Networks 2018
Future of Spectrum Panel - Brooklyn 5G Summit 2018
The Full Spectrum: Wireless Power Roundup
Brooklyn 5G Summit 2014: Channel Measurement and Modeling with Dr. Andy Nix and Dr. Mark Beach
Evaluating Over-The-Air Performance of MIMO Wireless Devices
FCC Activities to Support 5G - Julius Knapp - 5G Technologies for Tactical and First Responder Networks 2018
Ergodic Spectrum Management - John Cioffi - 5G World Forum Dresden, 2019
Brooklyn 5G Summit: Safety, exposure assessment and dosimetry from RF to mmWave
5G - Towards First Deployments - Ken Stewart: Brooklyn 5G Summit 2017
IEEE 5G Podcast with the Experts: 5G for large-scale wireless communications between autonomous vehicles
IEEE DySpan - New Frontiers
Not Quite 5G: New 4G+ Technologies on the Horizon - Panel from NIWeek 5G Summit
28 GHz mmWave Channel Sounder: From Inception to Reality - Arun Ghosh: Brooklyn 5G Summit 2017
Rapid development of wireless technologies and services are increasing the demand of limited wireless spectrum. Fixed spectrum has been allocated to each application. Recent analysis shows that this scarce spectrum is not being utilized efficiently. Cognitive Radio (CR) is the developing solution of efficient spectrum utilization. Cognitive Radio is well aware of its environment and accesses the spectrum opportunistically. In this paper, we propose an efficient multichannel cognitive MAC protocol that learns the behavior of primary users on each channel and allows the secondary users to occupy the unused spectrum without any harmful interference with the primary user and with other secondary users. By using the probabilistic model, CR estimates each available channel and selects the best one for transmission. An OPNET 14 simulation scenario of coexistence of CR nodes and primary nodes of a wireless network is developed to evaluate its performance.
Cognitive radio technology uses the ability of dynamic spectrum access to solve the problem of spectrum efficiency, but considered the view of application, the designs depended cognitive radio technology face the hardware restriction, and the cost is too expensive. Therefore the spectrum auction mechanism referenced to economic theory has a high value of application; the theory is a hot issue. However, existing spectrum auction mechanisms have faced with the problem of NP complexity, and also can not meet the demand of real-time. Based on the wireless spectrum auction theory, we have proposed an improved scheme of pricing mechanism by reverse algorithm.
With the ever growing demand for the wireless traffic it is becoming difficult to meet the demand for the service providers with the existing infrastructure. Infrastructure expansion is a very expensive option for the cellular operators. At the same time there exists huge underutilized infrastructure of fixed landline telephone network. The proposed model tries to exploit this idle infrastructure for reducing the load on the wireless spectrum by appropriate call forwarding strategy.
Spectrum management in cognitive radio is one of the most challenging issues and has attracted much research attentions in recent years. However most of the existing works consider either online demands or scheduled demands, which may not fully capture the flexible nature of the demands in certain circumstances, such as the communication demands for a synchronized sensing data transmission in wireless sensor networks which may not require the wireless channels be assigned in a pre-specified time point and could instead be provisioned in a flexible time range. Sliding scheduled traffic model, which allows the starting time of the service provisioning for a demand to slide in a pre-specified time window, instead of a time point, fits in well. Based on this observation, we propose in this paper to model the wireless channel demands for communication with sliding scheduled traffic model to improve the utilization ratio. We presents a mixed integer linear program (MILP) formulation as well as an efficient heuristic algorithm for this optimization problem. Numeric results show that adopting sliding scheduled demand model significantly improves the utilization ratio of wireless channels in dynamic wireless spectrum allocation.
With the rapid development of radio service and monitoring facilities, radio monitoring application steps into big data era. Big data analysis technology can help us get valuable information through dealing with massive monitoring data, which offer guidance to wireless spectrum resource management, abnormal signal detection, etc. In this paper, we adopt association rule mining algorithm to realize wireless spectrum occupancy prediction and achieve a satisfactory prediction accuracy, which has a certain significance for cognitive radio devices to apply dynamic spectrum access and improve spectrum utilization. After that, we present a survey about the use of distributed computing technology in radio monitoring. Finally, it concludes the problems worth studying in the future.
In this work, an effective beamforming approach is introduced to eliminate wireless interference in both mainlobe and sidelobe directions based on a coherent phase-coding multiple-input multiple-output (MIMO) radar platform. The simulations are carried out for spectrum sharing between air traffic control (ATC) radar at Miami International Airport and Sprint wireless communication systems. The simulation results demonstrate that the ATC radar can effectively eliminate both mainlobe and sidelobe interferences generated by wireless base stations (BS) during spectrum-sharing operations.
In an industry needing to support phenomenal growth, spectrum is key. Networks and devices must support multiple technologies and frequency bands without sacrificing performance. The industry has to come together to provide innovative and cost-effective RFIC design that utilizes all available resources. Smarter utilization of industry assets is essential, for example building small cell solutions (HetNets) that include tighter integration and interworking between cellular and WiFi. Since unlicensed spectrum is a great augment to carriers' licensed spectrum assets, it opens a myriad of opportunities for increasing network capacity. Better integration between WiFi and cellular would allow customers greater capacity and flexibility with data transmissions based on cost or desired quality level and network load. Therefore, RFIC innovation is necessary for future wireless systems.
A new method is described that allows for the non-interfering spectrum coexistence of radar and a wireless communication system employing multiuser subscriber waveforms. To simultaneously achieve compatibility and requisite radar performance, the radar “subscribes” to the network and utilizes K independent subscriptions. In the case of a cellular network, this would correspond to K independent cell subscriptions operating simultaneously. To achieve requisite radar performance, the onboard radar controller performs an adaptive linear combiner optimization of the K simultaneous waveforms to obtain a transmitted composite waveform with far superior useful radar properties (greater power, Doppler tolerance, etc.) than would be achieved by simply using the indigenous unaltered communications network waveforms. The linearity of the superposition ensures that the composite radar waveform behaves as K ordinary users, and thus does not require any special handling by the communications network nor will result in any undue interference. While utilizing communication waveforms for radar is not new, using a plurality of simultaneous waveforms to form a new composite waveform with better radar properties yet preserving network compatibility is entirely new.
This work examines the blocking performance of narrow-band (NB) and wideband (WB) sources that access a shared pool of wireless channels. The NB sources utilize a single channel, whereas WB sources access simultaneously a larger group of channels. This system is analyzed in the context of maximizing the utilization of spectrum that is allocated to the WB system by allowing NB sources random access to the same spectrum. The performance measure to be controlled is the blocking experienced by WB sources. A queueing model of this system is proposed that allows evaluation of the impact of NB sources on WB performance. Assuming Poisson arrival process models and negative exponential distributions for the channel holding times, the dependence of the blocking probability of the WB source is derived as a function of the NB utilization factor. In an uncontrolled NB access scheme, the WB blocking is lower bounded by the blocking probability experienced by NB sources. The performance improvement afforded by adding extra NB channels and by controlling the access rates of the NB source for finite population WB sources is presented. The analysis presented here provides an assessment of some of the emerging paradigms for adaptive spectrum allocation. Of particular interest are the criteria under which spectrum agile, cognitive and software radios functioning in an opportunistic fashion can access unused spectrum allocated to a primary system without adversely affecting the performance of the primary system
One basic method of ensuring that interference does not occur among radio services operating close to each other in frequency and space is to separate these with a range of unused frequency, which is typically referred to as a guard band or as a_white space_between radio systems. A well‐known example of white space was employed in analogue television broadcasting, where a channel used in one geographic region was not used in neighboring regions. Another type of white space exists when a frequency range is simply not currently in use by a radio system. For example, a holder of a spectrum assignment might decide against deploying a service in a particular region, or they might not be operating at a particular time. Each of these types of white space represents spectrum that is underutilized, and raises the question of whether other radio technologies can operate in these white spaces while not harming incumbent users of the spectrum. Given the demand for, and value of, radio spectrum, exploiting this unused spectrum effectively and efficiently is a challenge that merits consideration. However, regardless of whether it is possible, the question remains whether it is practical and cost efficient to operate in a given white space. This chapter begins by providing historic and technical perspectives on the development of white space access technologies and then considers their application to various service models and the associated emerging standards. This chapter also explores the recent test‐trials of TV white space and discusses the challenges that face wide‐scale commercial deployment. In closing, this chapter considers the potential role of white space in the future 5G mobile standard.
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 ...
This standard represents the Protocol Implementation Conformance Statement (PICS) Proforma, per ISO/IEC Standard 9646-7 (1995) and ITU-T X.296, for conformance specification of base stations and subscriber stations based upon the air interface specified in IEEE P802.16-REVd for frequencies below 11 GHz.
This standard represents the Radio Conformance Test (RCT) specification for base stations and subscriber stations based upon the WirelessMAN-SC (TM) (10-66 GHz) air interface specified in IEEE Standard 802.16.
IEEE Standard for Information Technology - Telecommunications and Information Exchange Between Systems - Local and Metropolitan Area Networks - Specific Requirements - Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (WPANs) - Amendment: Alternative Physical Layer Extension to Support One or More of the Chinese 314-316 MHz, 430-434 MHz, and 779-787 MHz Bands
This amendment defines alternate PHY and modifications to the MAC needed to support the PHY that complies with the applicable Chinese regulations, Radio Management of P. R. of China doc. # 6326360786867187500 or current document, for one or more of the 314-316 MHz, 430-434 MHz, and 779-787 MHz frequency bands.
This standard provides the techniques for objective measurement of electroacoustic characteristics of analog and digital telephones, handsets and headsets. Application is in the frequency range from 100 Hz to 8500 Hz. Although not specifically within the scope of this standard, the methods described are generally applicable to a wide variety of other communications equipment, including cordless, wireless and mobile communications ...