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Lossless data compression: A particle dynamics model

Lossless data compression: A particle dynamics model

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3rd International Conference on Service Systems and Service Management

作者： Shuai, Diamun Shuai, Qing Dong, Yumin East China Univ Sci & Technol Shanghai 200237 Peoples R China Huazhong Univ Sci & Technol Huazhong Peoples R China Qingdao Technol Univ Qingdao Peoples R China

ISBN: (纸本)1424404509

This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression We discuss the GPM-based parallel algorithm, its properties and realization scheme. The proposed GPM approach has advantages in terms of parallelism, scalability and easy hardware implementation over other sequential lossless compression methods.

关键词： prediction coding lossless data compression particle model distributed parallel algorithm

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Interfering Channel Estimation for Radar and Communication Coexistence 20

Interfering Channel Estimation for Radar and Communication C...

引用

20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Liu, Fan Garcia-Rodriguez, Adrian Masouros, Christos Geraci, Giovanni UCL Dept Elect & Elect Engn London England Nokia Bell Labs Dublin 15 Ireland Univ Pompeu Fabra Barcelona Spain

ISBN: (纸本)9781538665282

We investigate the interfering channel estimation in radar and communication coexistence, where a multi-input-multi-output (MIMO) radar is operated in a "search and track" mode, and a MIMO base station (BS) is attempting to acquire the interfering channel state information (ICSI) between them, which is required for the precoding designs. In contrast to conventional training based techniques, we exploit radar probing waveforms as pilot signals, which requires no coordination between the systems. As the radar randomly transmits searching and tracking waveforms, it is challenging for the BS to directly obtain the ICSI. We therefore propose a Rao test approach to firstly identify the working mode of the radar, and then estimate the channel. We further provide theoretical performance analysis for the Rao detector. Finally, we assess the effectiveness of the proposed approach by numerical simulations, which show that the BS is able to estimate the ICSI with limited information from the radar.

关键词： channel estimation MIMO radar precoding radar interference statistical testing channel estimation MIMO radar radar prediction coding Statistical tests Intracytoplasmic Sperm Injections Radar communication Bahamas PILOT SIGNAL

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Very Low-Rate Variable-Length Channel Quantization for Minimum Outage Probability

Very Low-Rate Variable-Length Channel Quantization for Minim...

引用

Data Compression Conference (DCC)

作者： Koyuncu, Erdem Jafarkhani, Hamid Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA

ISBN: (纸本)9781467360371

We identify a practical vector quantizer design problem where any fixed-length quantizer (FLQ) yields non-zero distortion at any finite rate, while there is a variable-length quantizer (VLQ) that can achieve zero distortion with arbitrarily low rate. The problem arises in a t x 1 multiple-antenna fading channel where we would like to minimize the channel outage probability by employing beamforming via quantized channel state information at the transmitter (CSIT). It is well-known that in such a scenario, finite-rate FLQs cannot achieve the full-CSIT (zero distortion) outage performance. We construct VLQs that can achieve the full-CSIT performance with finite rate. In particular, with P denoting the power constraint of the transmitter, we show that the necessary and sufficient VLQ rate that guarantees the full-CSIT performance is Theta(1/P). We also discuss several extensions (e g. to precoding) of this result.

关键词： Channel state information variable length quantizer Beamforming Transmitters prediction coding abnormal shapes distortion Quantization

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Robust Secure Goodput for Massive MIMO and Optical Fiber Wiretap Channels 18

Robust Secure Goodput for Massive MIMO and Optical Fiber Wir...

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18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC)

作者： Lonnstrom, Andrew Jorswieck, Eduard Haufe, Daniel Czarske, Juergen W. Tech Univ Dresden Commun Theory D-01062 Dresden Germany Tech Univ Dresden Lab Measurement & Sensor Syst Tech D-01062 Dresden Germany

ISBN: (纸本)9781509030095

We propose a method for optimizing the information theoretic secure goodput of a multiple-input multiple-output (MIMO) degraded wiretap channel using inverse precoding. We evaluate the secrecy capacity of this method in terms of secure goodput under various aspects using a standard fading massive MIMO system under the assumption of perfect channel state information (CSI) at the transmitter for the legitimate channel and no CSI at the transmitter for the eavesdropper channel. The precoding scheme optimizes two parameters, the number of compromised streams and the channel advantage of the legitimate receiver. The resulting secure goodput can be specialized to massive MIMO or optical channels with single or multiple eavesdroppers. We include a numerical analysis of the secure goodput for a multi-mode fiber (MMF) optical channel to demonstrate the flexibility of our approach.

关键词： channel capacity fading channels MIMO communication optical fibre networks precoding radio receivers radio transmitters telecommunication security prediction coding telecommunication security MIMO communication Fiber optic networks radio receivers RADIO TRANSMITTERS Channel capacity Fading channels multiple input multiple output systems Secure Transmitters OPTICAL CHANNEL

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Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO 20

Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO

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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Balatsoukas-Stimming, Alexios Castaneda, Oscar Jacobsson, Sven Durisi, Giuseppe Studer, Christoph Ecole Polytech Fed Lausanne Telecommun Circuits Lab Lausanne Switzerland Cornell Univ Sch Elect & Comp Engn Ithaca NY 14850 USA Ericsson Res Gothenburg Sweden Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9781538665282

Base station (BS) architectures for massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems are equipped with hundreds of antennas to serve tens of users on the same time-frequency channel. The immense number of BS antennas incurs high system costs, power, and interconnect bandwidth. To circumvent these obstacles, sophisticated MU precoding algorithms that enable the use of 1-bit DACs have been proposed. Many of these precoders feature parameters that are, traditionally, tuned manually to optimize their performance. We propose to use deep-learning tools to automatically tune such 1-bit precoders. Specifically, we optimize the biConvex 1-bit Precoding (C2PO) algorithm using neural networks. Compared to the original C2PO algorithm, our neural-network optimized (NNO-)C2PO achieves the same error-rate performance at 2x lower complexity. Moreover, by training NNO-C2PO for different channel models, we show that 1-bit precoding can be made robust to vastly changing propagation conditions.

关键词： analogue-digital conversion antenna arrays convex programming learning (artificial intelligence) MIMO communication neural nets precoding telecommunication computing prediction coding Neural network Analog-digital conversion telecommunication computing MIMO communication convex programming Antenna arrays 1-bit ANTENNA

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CSI Signaling for Decentralized Coordinated Beamforming in TDD Multi-cell MIMO Systems

CSI Signaling for Decentralized Coordinated Beamforming in T...

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44th Asilomar Conference on Signals, Systems and Computers

作者： Komulainen, Petri Tolli, Antti Juntti, Markku Univ Oulu Ctr Wireless Commun FI-90014 Oulu Finland

ISBN: (纸本)9781424497218

In this paper we present a novel multi-cell TDD CSI sounding concept for terminals employing multiple antennas. The objective is to support decentralized downlink beam coordination with minimal or no backhaul traffic between the base stations (BS). Each BS makes its own scheduling and precoding decisions independently, based on the locally available CSI and knowledge of the prior scheduling decisions made in the network. The concept combines interference-aware CSI sounding to busy signaling so that the sounding beams corresponding to the already allocated downlink data streams are considered as busy beams by the neighboring BSs. We experiment the concept in conjunction with simple regularized zero-forcing precoding and greedy beam scheduling.

关键词： tal demand distortion sounding bathymetric surveys Beams and girders Decentralized multiple input multiple output systems Minimal prediction coding Downlink Beamforming Bahamas

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Non-Linear Interference Mitigation for Broadband Multimedia Satellite Systems

Non-Linear Interference Mitigation for Broadband Multimedia ...

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International Workshop on Satellite and Space Communications

作者： Diaz, Marcos Alvarez Courville, Nicolas Mosquera, Carlos Liva, Gianluigi Corazza, Giovanni E. Univ Vigo Dept Signal Theory & Commun Vigo 36310 Spain German Aerosp Ctr DLR Inst Commun & Navigat D-82234 Wessling Germany Univ Bologna Dept Elect Comp Sci & Syst I-40126 Bologna Italy

ISBN: (纸本)9781424409389

This contribution explores the use of interference mitigation techniques applied to broadband satellite systems with co-channel interference. In particular, our focus is on nonlinear precoding techniques, borrowing ideas from the theory of broadcast MIMO channels. A number of schemes are compared, including several implementations of Tomlinson-Harashima precoding and their linear precoding counterparts. Simulations on realistic scenarios show potential improvements of non-linear precoding with respect to linear interference mitigation and classical countermeasures based on frequency division among beams. Also, we identify several practical issues related to the implementation of Tomlinson-Harashima Precoding in satellite communication systems.

关键词： disturbance suppression Satellite systems prediction coding Satellite communication systems Cochannel interference Frequency division broadband

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Performance of Precoded Integer-Forcing for Closed-Loop MIMO Multicast

Performance of Precoded Integer-Forcing for Closed-Loop MIMO...

引用

IEEE Information Theory Workshop (ITW)

作者： Domanovitz, Elad Erez, Uri Tel Aviv Univ Dept EE Syst Tel Aviv Israel

ISBN: (纸本)9781479959990

The integer-forcing receiver architecture has recently been proposed as a high-performance, yet low-complexity, equalization scheme, that is applicable when all data streams are encoded with the same linear code. It was further shown in [1], that this receiver architecture, when coupled with spacetime linear precoding is able to achieve the capacity of the openloop multiple-input multiple-output channel, up to a constant gap that depends only on the number of transmit antennas. The gap, however, is quite large and thus provides performance guarantees that are useful only for high values of capacity. In this work, we consider the problem of multicast over multiple-input multipleoutput channels to a modest number of users, and with space-only linear precoding. It is assumed that channel state information is available to the transmitter, allowing it to optimize the precoding matrix so as to maximize the achievable transmission rate. It is numerically demonstrated that this architecture allows to very closely approach the multicast capacity at all transmission rates regimes.

关键词： Gaussian channels MIMO communication equalisers multicast communication precoding space-time codes transmitting antennas channel state information closed-loop MIMO multicast equalization scheme linear code low-complexity scheme multicast capacity open-loop multiple-input multiple-output Gaussian channel precoded integer-forcing performance receiver architecture space-time linear precoding transmission rate maximization transmit antennas Covariance matrices MIMO Modulation Receiving antennas Signal to noise ratio Silicon carbide transmitting antennas prediction coding multiple input multiple output systems Equalizers Channel state information Receiving antennas signal to noise ratios Gaussian channels MIMO communication multicast communication space-time codes TRANSMISSION RATE SILICON CARBIDE Multicast variance covariance matrix

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Transmit Preprocessing using Channel Selection for Multi-antenna Ultra-Wideband Communications 72nd

Transmit Preprocessing using Channel Selection for Multi-ant...

引用

IEEE 72nd Vehicular Technology Conference Fall 2010

作者： Wang, Taotao Lv, Tiejun Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing 100876 Peoples R China

ISBN: (纸本)9781424435746

In this paper, we propose a novel transmit preprocessing scheme using Channel Selection (CS) to jointly design PreRake and Precoding for multiple-input multiple-output Ultra-Wideband (MIMO-UWB) communications. The PreRake technique is implemented to exploit the advantage of multipath diversity and can achieve spatial multiplexing based on our proposed CS. The combination of CS and PreRake transforms the UWB frequency selective fading channel into an equivalent flat fading channel and an equivalent channel matrix (ECM) is calculated. CS can construct the ECM as a well-conditioned matrix so that higher data transmission rate can be provided by spatial multiplexing. Then, Precoding method can be introduced to enhance system performance via diagonalizing the ECM. The simple but effective channel inversion (CI) precoding is employed in the proposed transmit preprocessing scheme which we denote as CS-CI-PreRake. Simulations results show the proposed scheme achieves a solid performance.

关键词： space division multiplexing carbon monosulfide prediction coding flat fading channel electronic countermeasures Frequency-selective fading channels conditioned stimulus Exceptional Case Marking Ultra wideband technologies Scheme Cesium System performance CONTAINMENT SPRAY Data transfer rates

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On Interference-Aware Precoding for Multi-Antenna Channels with Finite-Alphabet Inputs

On Interference-Aware Precoding for Multi-Antenna Channels w...

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IEEE International Conference on Communications (ICC)

作者： Zeng, Weiliang Xiao, Chengshan Lu, Jianhua Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol State Key Lab Microwave & Digital Commun Beijing 100084 Peoples R China

ISBN: (纸本)9781457720536

This paper investigates the interference-aware linear precoder design with finite-alphabet inputs. It maximizes the mutual information between the transmitter and intended receiver while controlling the interference power caused to unintended receivers. For this nonconcave problem, this work proposes a global optimization approach, which is based on two key observations: 1) the interference-aware precoding problem can be reformulated to the problem minimizing a function with bilinear terms over the intersection of multiple co-centered ellipsoids;2) these bilinear terms can be relaxed by their convex and concave envelopes. In this way, the global optimal solution is obtained by solving a sequence of relaxed problems over shrinking feasible regions. The proposed algorithm calculates the optimal precoder and the theoretical limit of the transmission rate with interference constraints. Thus, it offers an important benchmark for performance evaluation of interference constrained networks.

关键词： multiple antenna interference power prediction coding Interference constraints bilinearity TRANSMISSION RATE Global optimization Performance Evaluation Transmitters Receivers Convexity

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