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Faculty Profile - Gregory David Durgin
Who wrote the book, Space-Time Wireless Channels
I only understood the basis of MIMO communication after reading this great book!!!
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Gregory David Durgin
Associate Professor
Electromagnetics
Welcome to IEEE Xplore 2.0: A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization
Very Good!
Optimal Tx Beamforming
[tmp_U tmp_S tmp_V]=svd(Chan(:,:,1,iiSS,iiCase));
TxBeam=tmp_V(:,1);
TxBeam_SVD=TxBeam;
TxBeam=inv(TxCor_Interf_Noise)*TxBeam_SVD;
TxBeam=TxBeam/norm(TxBeam);
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A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization
Welcome to IEEE Xplore 2.0: Channel aware scheduling for broadcast MIMO systems with orthogonal linear precoding and fairness constraints
A very classic method!
My Favorite.
First read in July 17, 2006
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Channel aware scheduling for broadcast MIMO systems with orthogonal linear precoding and fairness constraints
Welcome to IEEE Xplore 2.0: Uplink Spatial Scheduling with Adaptive Transmit Beamforming in Multiuser MIMO Systems
Good!
With iterative User selection
and beamforming vector refining
single-cell
Simulation Done!
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Uplink Spatial Scheduling with Adaptive Transmit Beamforming in Multiuser MIMO Systems
Welcome to IEEE Xplore 2.0: Space Division Multiple Access With a Sum Feedback Rate Constraint
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Space Division Multiple Access With a Sum Feedback Rate Constraint
Welcome to IEEE Xplore 2.0: Degrees of freedom in wireless multiuser spatial multiplex systems with multiple antennas
Hard to understand??
max spatial multiplexing stream number = square of n?
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the maximum number of data streams is shown to be upper bounded by n2
Welcome to IEEE Xplore 2.0: Block diagonalization for multi-user MIMO with other-cell interference
Good
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Block diagonalization for multi-user MIMO with other-cell interference
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presents an OCI-aware enhancement to block diagonalization that uses a whitening filter for interference suppression at the receiver and a novel precoder using the interference-plus-noise covariance matrix for each user at the transmitter
Welcome to IEEE Xplore 2.0: A low complexity user scheduling algorithm for uplink multiuser MIMO systems
Not good.
- only algorithm usage.
- no inter-user interference in uplink.
bring Markov chain Monte Carlo (MCMC, a stochastic optimization/ search methods) into uplink selected user subset selection problem.
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A low complexity user scheduling algorithm for uplink multiuser MIMO systems
Welcome to IEEE Xplore 2.0: On the Capacity and Design of Limited Feedback Multiuser MIMO Uplinks
Not good. It gives the design criterions for eigenvalue beamforming, grassmannian beamforming and channel statistic correlation based beamforming, but the generation formula is not given. The performance is given.
No multiuser diversity analysis. No interuser interference is assumed.
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On the Capacity and Design of Limited Feedback Multiuser MIMO Uplinks
Welcome to IEEE Xplore 2.0: On capacity of cognitive radio networks with average interference power constraints
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On capacity of cognitive radio networks with average interference power constraints
Cheng-Xiang Wang
Xuemin Hong
Hsiao-Hwa Chen
Thompson, J.
Joint Res. Inst. for Signal & Image Process., Heriot-Watt Univ., Edinburgh;
This paper appears in: Wireless Communications, IEEE Transactions on
Publication Date: April 2009
Volume: 8,
Issue: 4
On page(s): 1620-1625
ISSN: 1536-1276
INSPEC Accession Number: 10627523
Digital Object Identifier: 10.1109/TWC.2009.071075
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Current Version Published: 2009-05-02
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Abstract
Cognitive radio (CR) has been considered as a promising technology to improve the spectrum utilization. In this paper we analyze the capacity of a CR network with average received interference power constraints. Under the assumptions of uniform node placements and a simple power control scheme, the maximum transmit power of a target CR transmitter is characterized by its cumulative distribution function (CDF). We study two CR scenarios for future applications. The first scenario is called the CR based central access network, which aims at providing broadband access to CR devices. In the second scenario, the so-called CR assisted virtual multiple-input multiple-output (MIMO) network, CR is used to improve the access capability of a cellular system. The uplink ergodic channel capacities of both scenarios are derived and analyzed with an emphasis on understanding the impact of numbers of primary users and CR users on the capacity. Numerical and simulation results suggest that the CR based central access network is more suitable for less-populated rural areas where a relatively low density of primary receivers is expected; while the CR assisted virtual MIMO network performs better in urban environments with a dense population of mobile CR users.
Welcome to IEEE Xplore 2.0: User Selection With Zero-Forcing Beamforming Achieves the Asymptotically Optimal Sum Rate
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broadcast channel
Welcome to IEEE Xplore 2.0: Power control in distributed cooperative OFDMA cellular networks
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Power control in distributed cooperative OFDMA cellular networks
Pischella, M.
Belfiore, J.-C.
R&D Div., France Telecom, Issy-les-Moulineaux;
This paper appears in: Wireless Communications, IEEE Transactions on
Publication Date: May 2008
Volume: 7,
Issue: 5, Part 2
On page(s): 1900-1906
ISSN: 1536-1276
INSPEC Accession Number: 9999468
Digital Object Identifier: 10.1109/TWC.2008.061039
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Current Version Published: 2008-05-20
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Abstract
This paper addresses downlink cooperation at a system level. Cooperation between base stations is an alternative to macrodiversity to provide QoS continuity in case of mobility. We propose a radio resource management strategy for the relay channel, made of relayed users identification, resource allocation and power control in an OFDMA-based system. Four scheduling methods are tested for power allocation in inter-cell interference environment: globally optimal, proportional fair, harmonic mean fair and max-min fair. Cooperation brings additional gain, both in terms of throughput and fairness, with all fair schedulers.
Syed Ali Jafar@UNIVERSITY OF CALIFORNIA, IRVINE
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Syed Ali Jafar
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Andrea J. Goldsmith, Syed A. Jafar, Ivana Maric, Sudhir Srinivasa, "Breaking Spectrum Gridlock with Cognitive Radios: An Information Theoretic Perspective", Preprint.
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Welcome to IEEE Xplore 2.0: Antenna Packing in Low-Power Systems: Communication Limits and Array Design
how to choose the optimal antenna spacing for mimo
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Antenna Packing in Low-Power Systems: Communication Limits and Array Design
Welcome to IEEE Xplore 2.0: On the capacity of MIMO broadcast channels with partial side information
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On the capacity of MIMO broadcast channels with partial side information
Welcome to IEEE Xplore 2.0: Distributed closed-loop spatial multiplexing for uplink multiuser systems
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Distributed closed-loop spatial multiplexing for uplink multiuser systems
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