Vector coding for partial response channels

Kasturia, S.; Aslanis, J.T.; Cioffi, J.M.

doi:10.1109/18.53735

Cited by 182 publications

(65 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We shall mention here only a few representative examples, while many others can be traced by scanning the information-theoretic literature. The classical orthogonalization which decomposes the original dispersive channel into parallel channels [94], [226], [132], [152] is fundamental not only for a conceptually rigorous derivation of capacity, but carries over basic insight into the very implementation of information-theoretic inspired signaling methods. The information-theoretic implications of tail-canceling and minimum mean-square error (MMSE) decision feedback as well as precoding techniques at the transmitter (cf.…”

Section: ) Other Information-theoretic Inspired Signalingmentioning

confidence: 99%

Fading channels: information-theoretic and communications aspects

Biglieri

Proakis

Shamai³

1998

IEEE Trans. Inform. Theory

1,683

1,342

View full text Add to dashboard Cite

Abstract-In this paper we review the most peculiar and interesting information-theoretic 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 single-user 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.

show abstract

Section: ) Other Information-theoretic Inspired Signalingmentioning

confidence: 99%

Fading channels: information-theoretic and communications aspects

Biglieri

Proakis

Shamai³

1998

IEEE Trans. Inform. Theory

1,683

1,342

View full text Add to dashboard Cite

show abstract

“…As is well known, when the multiple-input-multiple-output (MIMO) channel is perfectly estimated by the receiver and this (perfect) estimate is fed back to the transmitter via an ideal link, then the optimal policy for power allocation is the so-called water-filling (WF) one [2], [8], [14], [15], [17].…”

Section: Introductionmentioning

confidence: 99%

Power-Allocation Policy and Optimized Design of Multiple-Antenna Systems With Imperfect Channel Estimation

Baccarelli¹,

Biagi²

2004

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-We here focus on the optimized design and performance of Rayleigh-faded multiple-antenna multiple-inputmultiple-output systems when both transmitter and receiver share imperfect (i.e., error impaired) channel estimates computed via training sequences. In particular, according to the emerging principle of the so-called synchronized detection, for this operating scenario we propose a simple water-filling (WF)-like strategy for allocating power over transmit antennas and test its actual performance. Afterward, we introduce and evaluate some related figures of merit summarizing the overall system's performance and use these last for noting effective system's design guidelines. In particular, some optimized solutions for power-versus-bandwidth efficiency tradeoff are presented and their validity limits are debated. All the developed results explicitly take into account the actual reliability of the achievable channel estimates.

show abstract

“…Sum capacity is given in this case by an expression identical to that in (7), but in which R has the more complex expression in (13). Using the relationship in (16), we rewrite sum capacity from user k's perspective…”

Section: Multiuser Casementioning

confidence: 99%

“…We also note the work of Kasturia et al [13] and Lechleider [14] that propose codeword design methods for block transmissions suited for multicarrier modulation systems. More recently, in the context of multiuser detection, methods for transmitter and receiver adaptation [20] have also been used for nonideal channels, although not for a multicarrier modulation framework in particular.…”

Section: Introductionmentioning

confidence: 99%

Codeword optimization for uplink CDMA dispersive channels

Popescu

Rose

2005

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Abstract-We present the application of greedy interference avoidance methods to codeword optimization in the uplink of a code division multiple access (CDMA) system in which the channel between a given user and the base station receiver is assumed known and stable for the duration of the transmission. Repeated application of greedy interference avoidance monotonically increases sum capacity and yields an optimal codeword ensemble that satisfies a simultaneous water-filling distribution. However, algorithms for codeword optimization based on the greedy interference avoidance procedure are in general different from waterfilling schemes. We illustrate the algorithms with examples and look at properties of optimal codeword ensembles.Index Terms-CDMA, codeword adaptation, distributed interference avoidance, sum capacity optimization.

show abstract

Vector coding for partial response channels

Cited by 182 publications

References 31 publications

Fading channels: information-theoretic and communications aspects

Fading channels: information-theoretic and communications aspects

Power-Allocation Policy and Optimized Design of Multiple-Antenna Systems With Imperfect Channel Estimation

Codeword optimization for uplink CDMA dispersive channels

Contact Info

Product

Resources

About