IEEE Organizations related to Channel Models

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No organizations are currently tagged "Channel Models"



Conferences related to Channel Models

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


SoutheastCon 2020

SoutheastCon is the annual Region 3 conference that brings together engineering professionals, students, and volunteers for a weekend of technical presentations, meetings, student competitions, and volunteer education.

  • SoutheastCon 2021

    IEEE SoutheastCon is the annual IEEE Region 3 Student, Professional, and awards conference.

  • SoutheastCon 2019

    The annual IEEE SoutheastCon conferences promote all aspects of theories and applications of engineering disciplines. Sponsored by the IEEE Region-3 and IEEE Huntsville Section, this event will attract researchers, professionals, and students from the Southeastern region of the U.S. SoutheastCon 2019 will feature tutorial sessions, workshops, Technical Programs, and student Hardware, Software, Ethics, Paper, Web competitions.

  • SoutheastCon 2018

    SoutheastCon is a annual conference held in Region 3 and covers a Professional Track, Student Track and Regional Track.

  • SoutheastCon 2017

    Broad scope professional paper conference, region 3 annual meeting, region 3 annual student conference

  • SoutheastCon 2016

    Annual Region 3 Trifecta of Student competitions, Technical papers and volunteer training and administration.

  • SoutheastCon 2015

    Horizontal Technical Conference with all topics; students compete in multiple competions; Region 3 training meetings.

  • SOUTHEASTCON 2014

    Horizontal Technical Conference with all topics; students compete in multiple competions; Region 3 training meetings.

  • IEEE SOUTHEASTCON 2013

    Region 3 Meeting, Technical papers, student competitions.

  • SOUTHEASTCON 2012

    The annual IEEE SoutheastCon conferences promote all aspects of the theories and applications of the engineering disciplines. Sponsored by the IEEE Region 03, this event attracts researchers, professionals, and students from the Southeast region of the U.S and beyond. SoutheastCon 2012 will be held in Orlando, Florida.

  • SOUTHEASTCON 2011

    IEEE SoutheastCon2011 is the annual IEEE Region 3 technical, professional, and student conference, invites conference refereed and non-refereed technical paper presentations and tutorials that advance the work and careers of conference attendees in the areas of interest for the conference.

  • SOUTHEASTCON 2010

    SoutheastCon 2010 is the Region 3 event which includes a student conference, a technical conference, and the Region 3 business meeting.

  • SOUTHEASTCON 2009

    It is the annual IEEE Region 3 Technical, Professional, and Student Conference. As the premier conference for the IEEE Region 3, it brings together electrical, computer and other engineering and science professionals, faculty and students to share the latest information through technical sessions, tutorials and exhibits. The conference schedule includes: a technical program with seminars, tutorials, and workshops; exhibits; a student program with student competitions; and IEEE regional meetings.

  • SOUTHEASTCON 2008

    SoutheastCon is the Southeastern USA Region of the IEEE's premier conference. It contains three main sections: a technical program, student competitions and regional meetings. SouthEastCon features technical papers, tutorials and exhibits.

  • SOUTHEASTCON 2007

  • SOUTHEASTCON 2006

  • SOUTHEASTCON 2005

  • SOUTHEASTCON 2004

  • SOUTHEASTCON 2003

  • SOUTHEASTCON 2002

  • SOUTHEASTCON 2001

  • SOUTHEASTCON 2000

  • SOUTHEASTCON '99

  • SOUTHEASTCON '98

  • SOUTHEASTCON '97

  • SOUTHEASTCON '96


2019 13th European Conference on Antennas and Propagation (EuCAP)

The conference provides an overview of the state of the art developments and innovations in Antennas, Propagation, and Measurements, highlighting the latest requirements for future applications.


2019 14th International Wireless Communications and Mobile Computing Conference (IWCMC)

IWCMC 2019 will target a wide spectrum of the state-of-the-art as well as emerging topics pertaining to wireless networks, wireless sensors, vehicular communications, and mobile computing.


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Periodicals related to Channel Models

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No periodicals are currently tagged "Channel Models"


Most published Xplore authors for Channel Models

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Xplore Articles related to Channel Models

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Channel Modeling and Its Impact on Localization

Handbook of Position Location: Theory, Practice, and Advances, None

This chapter reviews concepts and models for wireless channels that are critical to localization systems. It discusses the impact of channel modeling on the design of radio system and investigates key channel parameters for different localization techniques. Channel parameters essential to position location methods such as time‐of‐arrival (TOA) and direction‐of‐arrival (DOA), and line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) localization are discussed. ...


On the performance of an IEEE 802.15.6 Wireless Body Area Network

17th European Wireless 2011 - Sustainable Wireless Technologies, 2011

Wireless Body Area Networks (WBANs) are becoming increasingly important for a wide range of applications, from medical to entertainment services. Since 2007, IEEE 802.15 Task Group 6 has been working on a communication standard for low power devices and operation on, in, or around the human body. We consider an IEEE 802.15.6 WBAN where wearable sensor devices are distributed on ...


Optimum Receiver

Wireless Communications Systems Design, None

This chapter provides information on how to detect a transmitted signal correctly in a receiver. The decision theory of wireless communication systems is developed to minimize the probability of error. The chapter introduces several decision theories and focuses on optimum receiver. The decision theory uses a priori information, a posterior information, and likelihood. The Bayesian decision rule is used when ...


Multiple Antenna Channels and Correlation

Multiple-Input Multiple-Output Channel Models: Theory and Practice, None

This chapter contains sections titled:The Radio Channel: DefinitionsChannel ClassificationsSummary of Channel ClassificationsSecond‐Order Statistics of Multiple Antenna ChannelsSecond‐Order Statistics of the Wideband MIMO ChannelSpatial Structure of Multiple Antenna ChannelsSummary and DiscussionNotes and References


Channel Estimation and Prediction

Systems Engineering in Wireless Communications, None

This chapter contains sections titled:IntroductionLinear Time‐Variant (LTV) Channel ModelMultivariable CaseSimulation of LTV SystemsDiscrete‐Time ModelsDiscrete‐Time Models with NoiseLeast Squares IdentificationMinimum Variance PredictionSelf‐Tuning PredictorSystem Identification with Neural NetworksSummary


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Educational Resources on Channel Models

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IEEE.tv Videos

Brooklyn 5G Summit: Channel Models: Key to 5G Air-Interface Technology
Brooklyn 5G Summit 2014: Channel Modeling and System Capacity with Dr. Tim Thomas and Dr. A Ghosh
Brooklyn 5G - 2015 - Andreas F. Molisch - Channel Measurements for Massive MIMO
Brooklyn 5G - 2015 - George MacCartney - MmWave Channel Models - A Unified Approach for 5G Standardization and Modern Design
BSIM Spice Model Enables FinFET and UTB IC Design
Brooklyn 5G - 2015 - Dr. Amitabha Ghosh & Dr. Timothy A. Thomas - 5G Channel Modeling from 6 to 100 GHz: Critical Modeling Aspects and Their Effect on System Design and Performance
Panel 1: Critical Modeling Aspects & Effects on System Design & Performance - Brooklyn 5G 2015
Brooklyn 5G 2016: Panel Moderator Dr. Ted Rappaport on Channel Models and Spectrum
Keynote: Ted Rappaport - Terahertz Communication - B5GS 2019
Brooklyn 5G 2016: Panel on Progress in Channel Models and Spectrum for 5G
IMS 2011 Microapps - Digital Radio Testing Using an RF Channel Replicator
Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture
LPIRC: Developing Mobile Computer Vision Models
IMS 2011 Microapps - Local Fundamental Frequency Enhancements for X-Parameter Models
Brooklyn 5G Summit 2014: Tommi Jamsa on METIS Channel Modeling Activities
Micro-Apps 2013: Frequency Planning Synthesis for Wireless Systems Design
IMS 2011 Microapps - Beyond the S-Parameter: The Benefits of Nonlinear Device Models
Piero P Bonissone - Lazy Meta-Learning - Creating Customized Model Ensembles on Demand
Reconstructed Brain Models for Virtual Bodies and Robots
Brooklyn 5G Summit 2014: Jonas Medbo on 5G Channel Modeling Challenges

IEEE-USA E-Books

  • Channel Modeling and Its Impact on Localization

    This chapter reviews concepts and models for wireless channels that are critical to localization systems. It discusses the impact of channel modeling on the design of radio system and investigates key channel parameters for different localization techniques. Channel parameters essential to position location methods such as time‐of‐arrival (TOA) and direction‐of‐arrival (DOA), and line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) localization are discussed. One of the most common statistics in a NLOS transmission for the fade amplitude is the Rayleigh distribution. The received signal is an addition of a number of signals from different paths. This addition leads to a Rayleigh distribution. Inhomogenous refers to dispersive media with spatially or temporally varying electromagnetic (EM) properties. In inhomogenous channels, each node might be placed in an electromagnetically diverse medium. There are many challenging tasks in inhomogenous media, including localization, characterization, layer thickness estimation, irregularity detection, high‐resolution TOA measurements and straight‐line range estimation.

  • On the performance of an IEEE 802.15.6 Wireless Body Area Network

    Wireless Body Area Networks (WBANs) are becoming increasingly important for a wide range of applications, from medical to entertainment services. Since 2007, IEEE 802.15 Task Group 6 has been working on a communication standard for low power devices and operation on, in, or around the human body. We consider an IEEE 802.15.6 WBAN where wearable sensor devices are distributed on the body and have to send the measured data to a coordinator. Upon reception of a query coming from the coordinator, nodes of the WBAN compete to access the channel, using the Carrier Sense Multiple Access with Collision Avoidance algorithm defined in the standard, for transmitting their data via a direct link. We evaluate network performance in terms of packet loss rate, delay, and throughput, through simulation. Two different channel models for on-body communication are considered. A comparison with a WBAN based on the IEEE 802.15.4 standard is also provided.

  • Optimum Receiver

    This chapter provides information on how to detect a transmitted signal correctly in a receiver. The decision theory of wireless communication systems is developed to minimize the probability of error. The chapter introduces several decision theories and focuses on optimum receiver. The decision theory uses a priori information, a posterior information, and likelihood. The Bayesian decision rule is used when there is a priori information and likelihood. The chapter considers a simple system model with the AWGN channel and provides an illustration for the signal detector of a matched filter receiver. Finally, the chapter discusses coherent and noncoherent detection. The matched filter receiver can be used for the coherent detection of modulation schemes. The coherent detection needs expensive and complex carrier recovery circuit but has good performance of detection. The noncoherent detection does not require expensive and complex carrier recovery circuit but has poor performance of detection.

  • Multiple Antenna Channels and Correlation

    This chapter contains sections titled:The Radio Channel: DefinitionsChannel ClassificationsSummary of Channel ClassificationsSecond‐Order Statistics of Multiple Antenna ChannelsSecond‐Order Statistics of the Wideband MIMO ChannelSpatial Structure of Multiple Antenna ChannelsSummary and DiscussionNotes and References

  • Channel Estimation and Prediction

    This chapter contains sections titled:IntroductionLinear Time‐Variant (LTV) Channel ModelMultivariable CaseSimulation of LTV SystemsDiscrete‐Time ModelsDiscrete‐Time Models with NoiseLeast Squares IdentificationMinimum Variance PredictionSelf‐Tuning PredictorSystem Identification with Neural NetworksSummary

  • Experimental Verifications

    This chapter contains sections titled: Validation Metrics WMSDR Experimental Setup BYU Wideband Channel Sounder Experimental Setup Experimental Results Discussion Summary and Discussion Notes and References

  • Modeling on multi-eigenpath channel in marine atmospheric duct

    A multi-eigenpath channel model is proposed to simulate the microwave transhorizon communication signal in marine atmospheric duct environment. The channel model identifies the relation between multiperiodical delay components and subeigenpath components. The simplified algorithm of subeigen signal is proposed on the basis on signal-to-multipath ratio. The application procedure of this model is described. The bit error rate of binary phase shift keying moduted signal in atmospheric duct is simulated by multi-eigenpath channel model.

  • Low‐latency Radio‐interface Perspectives for Small‐cell 5G Networks

    The exponential growth projections for mobile data traffic have initiated a significant research effort on 5G wireless access. The 5G solutions should provide at least a tenfold reduction in latency, a tenfold improvement in peak data rates, a hundredfold improvement in area capacity, and a thousandfold improvement in energy efficiency over 4G solutions. Several innovations and new concepts of network layers, protocol layers, and hardware are required to achieve these targets. In this chapter, we consider one option for a new centimeter‐wave radio interface for 5G, which will support dense small‐cell networks and ultra‐low‐latency communications. We start by describing the expected channel environments for below‐6‐GHz carriers and for 38‐GHz and 60‐GHz carriers. Then we briefly discuss the traffic expectations and ways of modeling the traffic. Based on these, we define requirements for a new frame design and discuss our new physical layer numerology and frame design entitled 5GETLA. We provide a detailed description of how sub‐millisecond round‐trip‐times are achieved with our design and explain how reduced latency leads to improved energy and spectral efficiency. We also discuss the multiple‐input multiple‐output reference symbol layout and show that significant overhead savings can be achieved when compared to LTE‐A. Finally, we extend the reference frame design to millimeter‐wave communications and describe two designs: one for line‐of‐sight and one for non‐line‐of‐sight communications. These designs provide ultra‐low latency and ultra‐dense spatial reuse wireless access with multi‐gigabit data rates for end users. In the conclusion, we wrap‐up the discussion related to the new low‐latency radio interfaces and indicate the most important open topics for research in the area of low‐latency 5G physical layer design for ultra‐dense small‐cell communications.

  • Information Measures for Continuous Variables

    This chapter considers real‐valued random variables and the information measures adopted for this case. It shows that the definition for the differential entropy is not consistent with the interpretation of the entropy as uncertainty of the random variable. One way to understand this is to discretize a continuous density function to obtain a discrete variable. The chapter shows that the properties for the relative entropy for discrete distributions are still valid for continuous distributions. In many applications, the Gaussian distribution plays an important role and information theory is not an exception. The chapter shows that the entropy is maximized for the Gaussian distribution, over all distributions for a given mean and variance. The Gaussian distribution is defined for an n‐dimensional random vector and the differential entropy function is derived through the density function.

  • Channel Sounding

    This chapter contains sections titled:IntroductionThe WMSDRNarrowband Channel SoundingWideband Sounding: Correlative SoundingWideband Sounding: Sampled Spectrum Channel SoundingSwitched‐Array ArchitecturesTiming and Carrier RecoverySummary and DiscussionNotes and References



Standards related to Channel Models

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No standards are currently tagged "Channel Models"