Channel state information
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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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2020 IEEE International Symposium on Information Theory (ISIT)
Information theory, coding theory, communication theory, signal processing, and foundations of machine learning
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.
The scope of the symposium includes all aspects of information theory and its applications. Itcovers a wide range of topics such as Shannon Theory, Coding Theory, and InformationSecurity as well as novel applications of information theory.
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.
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.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
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.)
SCC 2013; 9th International ITG Conference on Systems, Communication and Coding, 2013
Within this paper we address the resource allocation problem for the Multiple Access Relay Channel, where the relay does Amplify and Forward, the channel access is controlled by OFDMA and only local Channel State Information is available to the nodes of the network. We derive a distributed resource allocation scheme for Amplify and Forward that uses statistical information where actual ...
VTC Spring 2008 - IEEE Vehicular Technology Conference, 2008
Cooperative space-time block codes (STBC) can be applied to exploit the spatial diversity among several single antenna users. Because of its simplicity, amplify-and-forward strategy is often used at relay. In such cases, the additive noise at the relay is also forwarded to the destination. Therefore, it will degrade the received signals from both the relay and the source, due to ...
Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674), 2003
Maximizing the mutual information of high rate linear matrix modulation schemes for MIMO channels is considered. Linear matrix modulators are described in terms of a space-time basis, which is a three-index object, one index for the symbol, one for time and one for transmit antennas. Corresponding to these, there are three kinds of transformations that leave mutual information invariant; orthogonal ...
International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004
A binary decentralized detection problem in which sensor nodes provide partial information about their environment to a fusion center is studied. The nodes have access to conditionally independent observations and transmit a summary of their own data over wireless channels. Upon reception of the information, the fusion center attempts to accurately reconstruct the state of nature. The communication link between ...
2010 IEEE International Conference on Wireless Communications, Networking and Information Security, 2010
Fast temporal variations in wireless Multiple-Input Multiple-Output (MIMO) channels cause a significant degradation in traditional Tomlinson-Harashima precoding (THP) performance. The use of channel feedback from receiver to transmitter is a standard approach in order to adapt the THP with channel variations. While knowledge of the channel at the transmitter would produce good benefits for wireless communications, the generation of reliable ...
Green Radar State of Art: theory, practice and way ahead.
The Future of Home & Factory Automation Systems: Mouser's Innovation Spotlight with Grant Imahara
IMS 2011 Microapps - Digital Radio Testing Using an RF Channel Replicator
Brooklyn 5G - 2015 - Andreas F. Molisch - Channel Measurements for Massive MIMO
Brooklyn 5G Summit 2014: Channel Modeling and System Capacity with Dr. Tim Thomas and Dr. A Ghosh
Brooklyn 5G Summit: Channel Models: Key to 5G Air-Interface Technology
What IEEE SSCS Membership has Done for Me
Digital Neuromorphic Design of a Liquid State Machine for Real-Time Processing - Nicholas Soures: 2016 International Conference on Rebooting Computing
Applying Curricular Standards & Accreditation to Quantum Computing - Allen Parrish - ICRC San Mateo, 2019
Q&A with Sorel Reisman & Sheikh Iqbal Ahamed, Part 1: IEEE Big Data Podcast, Episode 12
Brooklyn 5G Summit 2014: Tommi Jamsa on METIS Channel Modeling Activities
The Prospects for Scalable Quantum Computing with Superconducting Circuits - Applied Superconductivity Conference 2018
Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture
Q&A with Sorel Reisman & Sheikh Iqbal Ahamed, Part 2: IEEE Big Data Podcast, Episode 12
IMS 2014: Wideband mmWave Channels: Implications for Design and Implementation of Adaptive Beam Antennas
Brooklyn 5G Summit 2014: Jonas Medbo on 5G Channel Modeling Challenges
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
28 GHz mmWave Channel Sounder: From Inception to Reality - Arun Ghosh: Brooklyn 5G Summit 2017
ICRA 2020 Keynote - Automatic Video Understanding
Within this paper we address the resource allocation problem for the Multiple Access Relay Channel, where the relay does Amplify and Forward, the channel access is controlled by OFDMA and only local Channel State Information is available to the nodes of the network. We derive a distributed resource allocation scheme for Amplify and Forward that uses statistical information where actual Channel State Information is not available. It splits the mixed- integer programming problem into separate resource allocation problems that can be solved by each node individually. Furthermore, we determine and optimise an approximation of the average throughput in a Hybrid Automatic Repeat Request system and we show that the loss caused by partial Channel State Information can be reduced significantly exploiting diversity.
Cooperative space-time block codes (STBC) can be applied to exploit the spatial diversity among several single antenna users. Because of its simplicity, amplify-and-forward strategy is often used at relay. In such cases, the additive noise at the relay is also forwarded to the destination. Therefore, it will degrade the received signals from both the relay and the source, due to the receiver structure of STBC. In this paper, we examine the effect of the forwarded noise and propose a condition, under which the relay should stop forwarding the signal. Based on this condition, adaptive cooperative STBC schemes are proposed. The performances of these schemes are studied and the exact bit error probabilities are obtained in closed form.
Maximizing the mutual information of high rate linear matrix modulation schemes for MIMO channels is considered. Linear matrix modulators are described in terms of a space-time basis, which is a three-index object, one index for the symbol, one for time and one for transmit antennas. Corresponding to these, there are three kinds of transformations that leave mutual information invariant; orthogonal symbol rotations, unitary time and unitary antenna rotations. If a group structure is required of the parts of these transformations that embed into the other, the space-time basis is a set of Clebsch-Gordan coefficients realizing the equivalence of representations of this group, and the space-time basis is an extremum of second-order mutual information. Thus, maximal mutual information matrix modulators may be found using the well developed theory of group representations. As an example, symbol rate 1.5 schemes for four transmit antennas, extending over four channel uses, are considered.
A binary decentralized detection problem in which sensor nodes provide partial information about their environment to a fusion center is studied. The nodes have access to conditionally independent observations and transmit a summary of their own data over wireless channels. Upon reception of the information, the fusion center attempts to accurately reconstruct the state of nature. The communication link between each node and the fusion center is modeled as a fading channel corrupted by additive noise. Channel state information is available at the fusion center and at the sensor nodes. Large deviation theory is used to show that having identical sensor nodes is asymptotically optimal. Algorithms in which each sensor node selects a signaling/coding schemes based on the quality of its channel are studied.
Fast temporal variations in wireless Multiple-Input Multiple-Output (MIMO) channels cause a significant degradation in traditional Tomlinson-Harashima precoding (THP) performance. The use of channel feedback from receiver to transmitter is a standard approach in order to adapt the THP with channel variations. While knowledge of the channel at the transmitter would produce good benefits for wireless communications, the generation of reliable channel feedback is complicated in fast time-varying channel for mobile applications. In temporal correlated MIMO channels, the use of the correlation property of the channel can be led to significantly less channel feedback than other traditional THP's design. This paper proposes a novel robust THP design for a time-varying, frequency-nonselective MIMO broadcast channel in which the Channel State Information (CSI) is updated at the beginning of each block (where the perfect CSI is assumed to be known). As the channel varies over time, THP blindly pre-equalizes the channel during the next symbol time. The algorithm leads to a cost-efficient CSI updating procedure for the THP optimization. Simulation results are provided to confirm the new THP design performance against traditional methods.
We have shown that over interfering links, it is possible to decode a function of the involved messages much more efficiently than the full messages themselves. This is useful for example as a physical layer for network coding. Typically, some degree of channel state information at the receiver is required. In this note, we study the effect of only partial channel state information. For several models of interference, novel achievable rates are derived. These may prove to be useful as a physical layer for non-coherent network codes.
Information theoretic security attracts researchers for its robust nature and multiple input multiple output (MIMO) channel in the presence of multiple eavesdropper offers an unveiled research area. In this paper, a Gaussian multiple input multiple output multiple eavesdropper (MIMOME) channel is considered where a transmitter communicates to a receiver in the presence of an eavesdropper. We present a technique for determining the secrecy capacity of the MIMO channel under Gaussian noise. We transform the degraded MIMOME channel into multiple single input multiple output (SIMO) Gaussian wiretap channels and then use scalar approach to convert it into two equivalent multiple input single output (MISO) channels. The secrecy capacity model is then developed for the condition where the transmitter has both the main and eavesdropper channel state information (CSI).
This paper presents a dynamic discrete bit-loading algorithm for multicarrier pDSL communication links that utilize the indoor power line network. In order to confront the time varying behavior of power line transmission media, the proposed algorithm provides fast adaptive bit and power loading with reduced complexity using channel state information and a subchannel link-allocation profile. Numerical results based on simulated network loading scenarios demonstrate the performance and the complexity of the proposed method.
In this letter, based on the exact pairwise-error probability, we derive the union bound on the symbol-error probability (SEP) of the differential unitary space-time (DUST) modulation employing group codes. Instead of using the rank- and-determinant or Euclidean distance criteria, we optimize the cyclic group codes such that the union bound on the SEP is minimized for a predetermined scenario, taking into account the number of transmit and receive antennas and the operating signal-to-noise ratio (SNR). Our simulation results show that for a wide range of SNRs, the codes with the minimum union bound for a particular SNR outperform the codes designed based on rank-and-determinant or Euclidean distance criteria.
In this letter, we develop a fully automatic robust linear receiver technique for joint space-time decoding and interference rejection in multi-access MIMO systems that use orthogonal space-time block codes and erroneous channel state information (CSI). The proposed receiver does not need any a priori knowledge of channel estimation errors and has a simple closed form. Numerical examples show that our method usually gives good performance in case of non-perfect CSI and/or low sample sizes when compared with other tested linear receivers.
This standard will define the test program set data embodied in a number of ASCII files for stimulus, response, and diagnostics of digital systems for use on digital Automatic Test Systems.