Imperial College London

DrWeiDai

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6333wei.dai1 Website

 
 
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Location

 

811Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

52 results found

Dai W, Liu YE, Rider B, 2009, The Effect of Finite Rate Feedback on CDMA Signature Optimization and MIMO Beamforming Vector Selection, 40th Annual Conference on Information Sciences and Systems (CISS), Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Pages: 3651-3669, ISSN: 0018-9448

CONFERENCE PAPER

Dai W, Liu YE, Rider B, Lau VKNet al., 2009, On the Information Rate of MIMO Systems With Finite Rate Channel State Feedback Using Beamforming and Power On/Off Strategy, IEEE TRANSACTIONS ON INFORMATION THEORY, Vol: 55, Pages: 5032-5047, ISSN: 0018-9448

JOURNAL ARTICLE

Dai W, Milenkovic O, 2009, Subspace Pursuit for Compressive Sensing Signal Reconstruction, IEEE TRANSACTIONS ON INFORMATION THEORY, Vol: 55, Pages: 2230-2249, ISSN: 0018-9448

JOURNAL ARTICLE

Dai W, Milenkovic O, 2009, Weighted Superimposed Codes and Constrained Integer Compressed Sensing, IEEE TRANSACTIONS ON INFORMATION THEORY, Vol: 55, Pages: 2215-2229, ISSN: 0018-9448

JOURNAL ARTICLE

Dai W, Pham HV, Milenkovic O, 2009, Distortion-Rate Functions for Quantized Compressive Sensing, IEEE Information Theory Workshop on Networking and Information Theory, Publisher: IEEE, Pages: 171-175

CONFERENCE PAPER

Dai W, Pham HV, Milenkovic O, 2009, A Comparative Study of Quantized Compressive Sensing Schemes, IEEE International Symposium on Information Theory (ISIT 2009), Publisher: IEEE, Pages: 11-15

CONFERENCE PAPER

Dai W, Pham HV, Milenkovic O, 2009, Quantized Compressive Sensing

We study the average distortion introduced by scalar, vector, and entropycoded quantization of compressive sensing (CS) measurements. The asymptoticbehavior of the underlying quantization schemes is either quantified exactly orcharacterized via bounds. We adapt two benchmark CS reconstruction algorithmsto accommodate quantization errors, and empirically demonstrate that thesemethods significantly reduce the reconstruction distortion when compared tostandard CS techniques.

JOURNAL ARTICLE

Dai W, Rider BC, Liu YE, 2009, Joint Beamforming for Multiaccess MIMO Systems with Finite Rate Feedback, 43rd Annual Allerton Conference on Communication, Control and Computing, Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Pages: 2618-2628, ISSN: 1536-1276

CONFERENCE PAPER

Dai W, Sheikh MA, Milenkovic O, Baraniuk RGet al., 2009, Compressive sensing DNA microarrays., EURASIP J Bioinform Syst Biol, ISSN: 1687-4145

Compressive sensing microarrays (CSMs) are DNA-based sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target, in a CSM, each sensor responds to a set of targets. We study the problem of designing CSMs that simultaneously account for both the constraints from CS theory and the biochemistry of probe-target DNA hybridization. An appropriate cross-hybridization model is proposed for CSMs, and several methods are developed for probe design and CS signal recovery based on the new model. Lab experiments suggest that in order to achieve accurate hybridization profiling, consensus probe sequences are required to have sequence homology of at least 80% with all targets to be detected. Furthermore, out-of-equilibrium datasets are usually as accurate as those obtained from equilibrium conditions. Consequently, one can use CSMs in applications in which only short hybridization times are allowed.

JOURNAL ARTICLE

Hang X, Dai W, Wu F-X, 2009, SUBSPACE PURSUIT FOR GENE PROFILE CLASSIFICAITON, 7th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2009), Publisher: IEEE, Pages: 25-+, ISSN: 2150-3001

CONFERENCE PAPER

Pham HV, Dai W, Milenkovic O, 2009, Sublinear Compressive Sensing Reconstruction via Belief Propagation Decoding, IEEE International Symposium on Information Theory (ISIT 2009), Publisher: IEEE, Pages: 674-678

CONFERENCE PAPER

Dai W, Liu YE, Rider B, 2008, Quantization bounds on Grassmann manifolds and applications to MIMO communications, IEEE TRANSACTIONS ON INFORMATION THEORY, Vol: 54, Pages: 1108-1123, ISSN: 0018-9448

JOURNAL ARTICLE

Dai W, Liu YE, Rider BC, Gao Wet al., 2008, How Many Users should be Turned On in a Multi-Antenna Broadcast Channel?, 41st Annual Conference on Information Sciences and Systems (CISS 2007), Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Pages: 1526-1535, ISSN: 0733-8716

CONFERENCE PAPER

Dai W, Milenkovic O, 2008, Sparse weighted Euclidean superimposed coding for integer compressed sensing, 42nd Annual Conference on Information Sciences and Systems, Publisher: IEEE, Pages: 470-475

CONFERENCE PAPER

Dai W, Milenkovic O, 2008, Weighted Euclidean superimposed codes for integer compressed sensing, IEEE Information Theory Workshop, Publisher: IEEE, Pages: 124-128

CONFERENCE PAPER

Dai W, Milenkovic O, 2008, Iterative Subspace Pursuit Decoding of Weighted Euclidean Superimposed Codes, 5th International Symposium on Turbo Codes and Related Topics, Publisher: IEEE, Pages: 402-407

CONFERENCE PAPER

Dai W, Milenkovic O, 2008, Sparse weighted Euclidean superimposed coding for integer compressed sensing, 42nd Annual Conference on Information Sciences and Systems, Publisher: IEEE, Pages: 480-485

CONFERENCE PAPER

Dai W, Milenkovic O, Sheikh MA, Baraniuk RGet al., 2008, Probe Design for Compressive Sensing DNA Microarrays, IEEE International Conference on Bioinformatics and Biomedicine, Publisher: IEEE COMPUTER SOC, Pages: 163-+, ISSN: 2156-1125

CONFERENCE PAPER

Dai W, Youjian, Liu, Rider BC, Gao Wet al., 2008, How Many Users should be Turned On in a Multi-Antenna Broadcast Channel?

This paper considers broadcast channels with L antennas at the base stationand m single-antenna users, where L and m are typically of the same order. Weassume that only partial channel state information is available at the basestation through a finite rate feedback. Our key observation is that the optimalnumber of on-users (users turned on), say s, is a function of signal-to-noiseratio (SNR) and feedback rate. In support of this, an asymptotic analysis isemployed where L, m and the feedback rate approach infinity linearly. We derivethe asymptotic optimal feedback strategy as well as a realistic criterion todecide which users should be turned on. The corresponding asymptotic throughputper antenna, which we define as the spatial efficiency, turns out to be afunction of the number of on-users s, and therefore s must be chosenappropriately. Based on the asymptotics, a scheme is developed for systems withfinite many antennas and users. Compared with other studies in which s ispresumed constant, our scheme achieves a significant gain. Furthermore, ouranalysis and scheme are valid for heterogeneous systems where different usersmay have different path loss coefficients and feedback rates.

JOURNAL ARTICLE

Dai W, Rider B, Liu Y, 2007, Multi-Access MIMO Systems with Finite Rate Channel State Feedback

This paper characterizes the effect of finite rate channel state feedback onthe sum rate of a multi-access multiple-input multiple-output (MIMO) system. Wepropose to control the users jointly, specifically, we first choose the usersjointly and then select the corresponding beamforming vectors jointly. Toquantify the sum rate, this paper introduces the composite Grassmann manifoldand the composite Grassmann matrix. By characterizing the distortion ratefunction on the composite Grassmann manifold and calculating the logdetfunction of a random composite Grassmann matrix, a good sum rate approximationis derived. According to the distortion rate function on the compositeGrassmann manifold, the loss due to finite beamforming decreases exponentiallyas the feedback bits on beamforming increases.

JOURNAL ARTICLE

Dai W, Liu YJ, Rider B, 2005, Quantization bounds on Grassmann manifolds of arbitrary dimensions and MIMO communications with feedback, IEEE Global Telecommunications Conference (GLOBECOM 05), Publisher: IEEE, Pages: 1456-1460, ISSN: 1930-529X

CONFERENCE PAPER

Dai W, Liu YJ, Rider B, Lau VKNet al., 2005, On the information rate of MIMO systems with finite rate channel state feedback and power on/off strategy, IEEE International Symposium on Information Theory and Its Applications, Publisher: IEEE, Pages: 1549-1553

CONFERENCE PAPER

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