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Wireless MIMO switching
2012
2012 IEEE Global Communications Conference (GLOBECOM)
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The main contribution of this paper is a unified approach to solve the weighted sum mean square error (MSE) minimization and weighted sum rate maximization problems in MIMO switching. ...
This paper addresses joint transceiver and relay design for a wireless multiple-input-multiple-output (MIMO) switching scheme that enables data exchange among multiple users. ...
The following general observation and conjecture sum up our investigation: ...
doi:10.1109/glocom.2012.6503806
dblp:conf/globecom/WangL12b
fatcat:4fyqvklzmfhvhk6h7tqg5zpiuq
Wireless MIMO Switching: Weighted Sum Mean Square Error and Sum Rate Optimization
2013
IEEE Transactions on Information Theory
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The main contribution of this paper is a unified approach to solve the weighted sum mean square error (MSE) minimization and weighted sum rate maximization problems in MIMO switching. ...
Index Terms-Beamforming, minimum mean square error (MMSE), multiple-input multiple-output (MIMO) switching, physical-layer network coding (PNC), relay. ...
Fig. 1 . 1 Wireless MIMO switching. ...
doi:10.1109/tit.2013.2259893
fatcat:lp2xl7mkm5gj3fzt6ik7ojj2ua
Wireless MIMO switching: Sum rate optimization
2013
2013 IEEE Wireless Communications and Networking Conference (WCNC)
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Index Terms-Beamforming, linear precoding, MIMO switching, minimum mean square error (MMSE), physical-layer network coding, relay. ...
The problem of optimizing the precoder based on sum-rate maximization criteria is typically non-convex and difficult to solve. ...
Fig. 1 . 1 Wireless MIMO switching. ...
doi:10.1109/wcnc.2013.6555129
dblp:conf/wcnc/WangYLG13
fatcat:wvrcvmq5uzadxdm32vqmahheq4
Wireless MIMO switching with MMSE relaying
2012
2012 IEEE International Symposium on Information Theory Proceedings
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We propose a joint design of the precoder and the receive filters to achieve the minimum-mean-square-error (MMSE), assuming full channel state information is available at the relay. ...
The MIMO switch carries out precode-and-forward, where all users send their signals in the uplink and then the MIMO switch precodes the received vector signal for broadcasting in the downlink. ...
We explore two minimum mean square error (MMSE) relaying schemes: MMSE relaying with and without network coding. ...
doi:10.1109/isit.2012.6283029
dblp:conf/isit/WangLG12
fatcat:qahk2okrrvgvtbxvvadsgpumwm
Robust MMSE precoding strategy for multiuser MIMO relay systems with switched relaying and side information
2013
2013 IEEE Wireless Communications and Networking Conference (WCNC)
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In this work, we propose a minimum mean squared error (MMSE) robust base station (BS) precoding strategy based on switched relaying (SR) processing and limited transmission of side information for interference ...
The BS and the MIMO relay station (RS) are both equipped with a codebook of interleaving matrices. ...
By taking the imperfect CSI into account and using the statistical property of the channel estimation errors, we propose the following selection criterion at the BS for sum rate optimization l opt = arg ...
doi:10.1109/wcnc.2013.6554989
dblp:conf/wcnc/CaiLYZ13
fatcat:pf5jqdu3vbhlvgn36y2cdcejce
Wireless MIMO switching: distributed zero-forcing and MMSE relaying using network coding
2013
EURASIP Journal on Advances in Signal Processing
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We propose two distributed relaying schemes based on two widely adopted criteria, i.e., zero-forcing relaying and minimum mean square error (MMSE) relaying. ...
All users transmit simultaneously to the MIMO switch in the uplink and then the MIMO switch precodes the received signals and broadcasts in the downlink. ...
Similar MMSE schemes with a multi-antenna relay were proposed to minimize sum mean square error (MSE) of all the users in [7, 11] for multi-way relaying. ...
doi:10.1186/1687-6180-2013-130
fatcat:xlrq3lnaubdpdgkmwrzvfhdepu
Massive MIMO Wireless Networks: An Overview
2017
Electronics
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Massive multiple-input-multiple-output (MIMO) systems use few hundred antennas to simultaneously serve large number of wireless broadband terminals. ...
Massive MIMO systems envision accurate beamforming and decoding with simpler and possibly linear algorithms. ...
productivity systems) and Ryerson University for their help and support in developing this paper. ...
doi:10.3390/electronics6030063
fatcat:7mtjqladxfhaddeuvsr2ftf3by
Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system
2018
EURASIP Journal on Wireless Communications and Networking
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By optimizing the TS ratio and transmit powers at the BS in two phases, the system achievable sum rate performance is maximized. ...
In this paper, we consider the beam-domain hybrid time-switching (TS) and power-splitting (PS) simultaneous wireless information and power transfer (SWIPT) protocol design in full-duplex (FD) massive multiple-input ...
Acknowledgements The authors would like to thank the reviewers for their careful readings and valuable comments. ...
doi:10.1186/s13638-018-1045-1
fatcat:yvgcfvoc2na6hnngkpzvz7obzu
MIMO technologies for the wireless future
2008
2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications
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Future wireless systems are expected to support high data rates of 1 Gbit/s or more in a variety of scenarios. ...
Another source of diversity -inherent to wireless systems-is that of the multiuser diversity. Multiuser (MU) MIMO algorithms combine both MIMO gains with multiuser diversity benefits. ...
estimation errors) will be In Fig. 8 , we compare the achievable rates for the zero forcing MU-MIMO technique and SU-MIMO with the same number of feedback bits per user. ...
doi:10.1109/pimrc.2008.4699969
dblp:conf/pimrc/BauchA08
fatcat:24gb5o2ubbdblowfl7gqpbh2wa
Multimode precoding for MIMO wireless systems
2005
IEEE Transactions on Signal Processing
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Multiple-input multiple-output (MIMO) wireless systems obtain large diversity and capacity gains by employing multi-element antenna arrays at both the transmitter and receiver. ...
The theoretical performance benefits of MIMO systems, however, are irrelevant unless low error rate, spectrally efficient signaling techniques are found. ...
mean squared error [51] . ...
doi:10.1109/tsp.2005.855107
fatcat:i27rnkb2zffnznyef3e545thxu
Joint Beamforming with Speed Sensitive Relay Selection for Future Wireless Generation MIMO Networks
2020
Procedia Computer Science
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The proposed JBF algorithm outperforms well in terms of weighted sum rate and Sum of Mean Square Error along with guaranteed time delay for beam steering. ...
The proposed JBF algorithm outperforms well in terms of weighted sum rate and Sum of Mean Square Error along with guaranteed time delay for beam steering. ...
Here BF matrix update will be done at the end of an optimum time slot say m =t at which maximum Weighted Sum Rate (WSR) and minimum Sum of Mean Square Error (SMSE) for the entire SNR regime are ensured ...
doi:10.1016/j.procs.2020.04.138
fatcat:3excqn5rp5awbe6hjodroc6x44
Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications
[article]
2017
arXiv
pre-print
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Millimeter-wave (mmWave) MIMO with large antenna array has attracted considerable interests from academic and industry communities, as it can provide larger bandwidth and higher spectrum efficiency. ...
However, with hundreds of antennas, the number of radio frequency (RF) chains required by mmWave MIMO is also huge, leading to unaffordable hardware cost and power consumption in practice. ...
It first decomposes the sum-rate optimization problem into a series of simple and convex subproblems, each of which only considers one sub-phased array. ...
arXiv:1607.04559v3
fatcat:ik5lglgesvf6hfh5it32ku6opi
Broadband MIMO-OFDM wireless communications
2004
Proceedings of the IEEE
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Orthogonal frequency division multiplexing (OFDM) is a popular method for high data rate wireless transmission. ...
, space-time techniques for MIMO-OFDM, error control coding techniques, OFDM preamble and packet design, and signal processing algorithms used for performing time and frequency synchronization, channel ...
Mody for his contributions to Sections II-IV, and J. H. Sung for his contributions to Section VI. The authors would also like to thank Dr. W. ...
doi:10.1109/jproc.2003.821912
fatcat:ccdjqprh3jdyhiqtsbei4tbeme
Linear processing and sum throughput in the multiuser MIMO downlink
2009
IEEE Transactions on Wireless Communications
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Index Terms-Adaptive arrays, adaptive modulation, diversity methods, information rates, MIMO systems, nonlinear programming, optimization methods, least mean square methods, space division multiplexing ...
We propose several mean squared error (MSE) based criteria for joint transmit-receive optimization and establish a series of relationships linking these criteria to the signal-tointerference-plus-noise ...
Much of the existing literature on linear precoding for multiuser MIMO systems focuses on minimizing the sum of mean squared errors (SMSE) between the transmitted and received signals under a sum power ...
doi:10.1109/twc.2009.080708
fatcat:dik5rjrwmvbezodiuakypbpj4m
Rate splitting for MIMO wireless networks: a promising PHY-layer strategy for LTE evolution
2016
IEEE Communications Magazine
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MIMO processing plays a central part towards the recent increase in spectral and energy efficiencies of wireless networks. ...
CSIT inaccuracy results in a multi-user interference problem that is the primary bottleneck of MIMO wireless networks. ...
Transceiver Optimization Although ZFBF strategies achieve the optimum DoF, they are generally sub-optimal in finite SNR regimes where non-asymptotic metrics are considered, e.g. the Mean Square Error ( ...
doi:10.1109/mcom.2016.7470942
fatcat:qdzfiuutwjdslbrt42kyp6vf7a
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