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53
Capacity of Fading Channels with Channel Side Information
, 1997
"... We obtain the Shannon capacity of a fading channel with channel side information at the transmitter and receiver, and at the receiver alone. The optimal power adaptation in the former case is "waterpouring" in time, analogous to waterpouring in frequency for timeinvariant frequencysele ..."
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Cited by 488 (23 self)
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We obtain the Shannon capacity of a fading channel with channel side information at the transmitter and receiver, and at the receiver alone. The optimal power adaptation in the former case is "waterpouring" in time, analogous to waterpouring in frequency for timeinvariant frequencyselective fading channels. Inverting the channel results in a large capacity penalty in severe fading.
Spatiotemporal coding for wireless communication
 IEEE Trans. Commun
, 1998
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Fading Channels: InformationTheoretic And Communications Aspects
 IEEE TRANSACTIONS ON INFORMATION THEORY
, 1998
"... In this paper we review the most peculiar and interesting informationtheoretic and communications features of fading channels. We first describe the statistical models of fading channels which are frequently used in the analysis and design of communication systems. Next, we focus on the information ..."
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Cited by 352 (2 self)
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In this paper we review the most peculiar and interesting informationtheoretic and communications features of fading channels. We first describe the statistical models of fading channels which are frequently used in the analysis and design of communication systems. Next, we focus on the information theory of fading channels, by emphasizing capacity as the most important performance measure. Both singleuser and multiuser transmission are examined. Further, we describe how the structure of fading channels impacts code design, and finally overview equalization of fading multipath channels.
Sum Capacity of a Gaussian Vector Broadcast Channel
 IEEE Trans. Inform. Theory
, 2002
"... This paper characterizes the sum capacity of a class of nondegraded Gaussian vectB broadcast channels where a singletransmitter with multiple transmit terminals sends independent information to multiple receivers. Coordinat+[ is allowed among the transmit teminals, but not among the different recei ..."
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Cited by 235 (20 self)
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This paper characterizes the sum capacity of a class of nondegraded Gaussian vectB broadcast channels where a singletransmitter with multiple transmit terminals sends independent information to multiple receivers. Coordinat+[ is allowed among the transmit teminals, but not among the different receivers. The sum capacity is shown t be a saddlepoint of a Gaussian mu al informat]R game, where a signal player chooses a tansmit covariance matrix to maximize the mutual information, and a noise player chooses a fictitious noise correlation to minimize the mutual information. This result holds fort he class of Gaussian channels whose saddlepoint satisfies a full rank condition. Furt her,t he sum capacity is achieved using a precoding method for Gaussian channels with additive side information noncausally known at the transmitter. The optimal precoding structure is shown t correspond to a decisionfeedback equalizer that decomposes t e broadcast channel into a series of singleuser channels with intk ference presubtract] at the transmiter.
Optimal Designs for SpaceTime Linear Precoders and Decoders
 IEEE Trans. Signal Processing
, 2001
"... In this paper we introduce a new paradigm for the design of transmitter spacetime coding that we refer to as linear precoding. It leads to simple closed form solutions for transmission over frequency selective multipleinput multipleoutput (MIMO) channels, which are scalable with respect to the nu ..."
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Cited by 163 (6 self)
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In this paper we introduce a new paradigm for the design of transmitter spacetime coding that we refer to as linear precoding. It leads to simple closed form solutions for transmission over frequency selective multipleinput multipleoutput (MIMO) channels, which are scalable with respect to the number of antennas, size of the coding block and transmit average/peak power. The scheme operates as a block transmission system in which vectors of symbols are encoded and modulated through a linear mapping operating jointly in the space and time dimension. The specific designs target minimization of the symbol mean square error and the approximate maximization of the minimum distance between symbol hypotheses, under average and peak power constraints. The solutions are shown to convert the MIMO channel with memory into a set of parallel flat fading subchannels, regardless of the design criterion, while appropriate power/bits loading on the subchannels is the specific signature of the different designs. The proposed designs are compared in terms of various performance measures such as information rate, BER and symbol mean square error.
Precoding in MultiAntenna and MultiUser Communications
"... In this paper, TomlinsonHarashima precoding for multipleinput/multipleoutput systems including multipleantenna and multiuser systems is studied. It is shown that nonlinear preequalization offers significant advantages over linear preequalization which increases average transmit power. Moreover ..."
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Cited by 85 (2 self)
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In this paper, TomlinsonHarashima precoding for multipleinput/multipleoutput systems including multipleantenna and multiuser systems is studied. It is shown that nonlinear preequalization offers significant advantages over linear preequalization which increases average transmit power. Moreover, it outperforms decisionfeedback equalization at the receiver side which is applicable if joint processing at the receiver side is possible, and which suffers from error propagation. A number of aspects of practical importance are studied. Loading, i.e., the optimum distribution of transmit power and rate is discussed in detail. It is shown that the capacity of the underlying MIMO channel can be utilized asymptotically by means of nonlinear precoding.
Filterbank transceivers optimizing information rate in block transmissions over dispersive channels
 IEEE TRANS. INFORM. THEORY
, 1999
"... Optimal finite impulse response (FIR) transmit and receive filterbanks are derived for blockbased data transmissions over frequencyselective additive Gaussian noise (AGN) channels by maximizing mutual information subject to a fixed transmitpower constraint. Both FIR and polezero channels are cons ..."
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Cited by 57 (4 self)
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Optimal finite impulse response (FIR) transmit and receive filterbanks are derived for blockbased data transmissions over frequencyselective additive Gaussian noise (AGN) channels by maximizing mutual information subject to a fixed transmitpower constraint. Both FIR and polezero channels are considered. The inherent flexibility of the proposed transceivers is exploited to derive, as special cases, zeroforcing (ZF) and minimum meansquare error receive filterbanks. The transmit filterbank converts transmission over a frequencyselective fading channel, affected by additive colored noise, into a set of independent flat fading subchannels with uncorrelated noise samples. Two loading algorithms are also developed to distribute transmit power and number of bits across the usable subchannels, while adhering to an upper bound on the bit error rate (BER). Reduction of the signaltonoise ratio (SNR) margin required to satisfy the prescribed BER is achieved by coding each subchannel’s bit stream. The potential of the proposed transceivers is illustrated and compared to discrete multitone (DMT) with simulated examples.
SpaceTime Transmission using TomlinsonHarashima Precoding
, 2002
"... In this paper, TomlinsonHarashima precoding, a nonlinear preequalization technique, is proposed for transmission over multipleinput/multipleoutput channels. Instead of equalizing intersymbol interference (temporal equalization) here spatial equalization, i.e., equalization of the multiuser inte ..."
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Cited by 39 (14 self)
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In this paper, TomlinsonHarashima precoding, a nonlinear preequalization technique, is proposed for transmission over multipleinput/multipleoutput channels. Instead of equalizing intersymbol interference (temporal equalization) here spatial equalization, i.e., equalization of the multiuser interference, or combined spatial/temporal equalization is performed. It is shown that this MIMe precodinglike its sISe counterpart offers significant advantages over linear preequalization and over decisionfeedback equalization, as is done in BLASTlike schemes. Using channel coding, MIMe precoding is able to achieve higher power efficiencies at lower coding delays than competing schemes.
Perfect discrete multitone modulation with optimal transceivers
 IEEE Trans. Signal Processing
, 2000
"... discrete multitone modulation (DMT) systems have been widely applied to various applications. In this paper, we study a broader class of DMT systems using more general unitary matrices instead of DFT matrices. For this class, we will show how to design the optimal DMT systems over frequencyselectiv ..."
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Cited by 22 (6 self)
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discrete multitone modulation (DMT) systems have been widely applied to various applications. In this paper, we study a broader class of DMT systems using more general unitary matrices instead of DFT matrices. For this class, we will show how to design the optimal DMT systems over frequencyselective channels with colored noise. In addition, asymptotical performance of DFTbased and optimal DMT systems will be studied and shown to be equivalent. However, for a moderate number of bands, the optimal DMT system offers significant gain over the DFTbased DMT system, as will be demonstrated by examples. Index Terms—DMT, optimal DMT, perfect transceiver, zero ISI. I.