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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: Downlink beamforming algorithms with inter-cell interference in cellular networks
similar to Block diagonalization for multi-user MIMO with other-cell interference (2008) by Heath, R. and Andrews, J.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4570233
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Downlink beamforming algorithms with inter-cell interference in cellular networks
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: Multi-cell uplink-downlink beamforming throughput duality based on Lagrangian duality with per-base station power constraints
not good
pure optimization theory
no simulation result, so the result can't be repeated.
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Multi-cell uplink-downlink beamforming throughput duality based on Lagrangian duality with per-base station power constraints
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: Scheduling Algorithms for Time-Varying Downlink Channels
Good
It provides a time-continues channel model and derived scheduling scheme by outdated CQI.
Add channel prediction for CQI delay feedback!
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Scheduling Algorithms for Time-Varying Downlink Channels
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.
IEEE - Manuscript Templates for Conference Proceedings
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Manuscript Templates for Conference Proceedings
IEEE Around The World
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Student branches formed in China at Chongqing University and Huazhong University of Science and Technology, Wuhan;
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