• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 235,229
Next 10 →

Capacity bounds for sticky channels

by Michael Mitzenmacher - IEEE Transactions on Information Theory
"... Abstract—The capacity of sticky channels, a subclass of insertion channels where each symbol may be duplicated multiple times, is considered. The primary result is to provide nearly tight numerical upper and lower bounds for the independent and identically distributed (i.i.d.) duplication channel. I ..."
Abstract - Cited by 14 (3 self) - Add to MetaCart
Abstract—The capacity of sticky channels, a subclass of insertion channels where each symbol may be duplicated multiple times, is considered. The primary result is to provide nearly tight numerical upper and lower bounds for the independent and identically distributed (i.i.d.) duplication channel

Capacity of Fading Channels with Channel Side Information

by Andrea J. Goldsmith , et al. , 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 "water-pouring" in time, analogous to water-pouring in frequency for time-invariant frequency-sele ..."
Abstract - Cited by 579 (23 self) - Add to MetaCart
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 "water-pouring" in time, analogous to water-pouring in frequency for time-invariant frequency

Capacity of multi-antenna Gaussian channels

by I. Emre Telatar - EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS , 1999
"... We investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading. We derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate such form ..."
Abstract - Cited by 2878 (6 self) - Add to MetaCart
We investigate the use of multiple transmitting and/or receiving antennas for single user communications over the additive Gaussian channel with and without fading. We derive formulas for the capacities and error exponents of such channels, and describe computational procedures to evaluate

Comments on Broadcast Channels

by Thomas M. Cover , 1998
"... The key ideas in the theory of broadcast channels are illustrated by discussing some of the progress toward finding the capacity region. The capacity region is still unknown. Index Terms---Binning, broadcast channel, capacity, degraded broadcast channel, feedback capacity, Slepian--Wolf, superposit ..."
Abstract - Cited by 566 (4 self) - Add to MetaCart
The key ideas in the theory of broadcast channels are illustrated by discussing some of the progress toward finding the capacity region. The capacity region is still unknown. Index Terms---Binning, broadcast channel, capacity, degraded broadcast channel, feedback capacity, Slepian

Gaussian interference channel capacity to within one bit

by Raul H. Etkin, David N. C. Tse, Hua Wang - 5534–5562, 2008. EURASIP Journal on Advances in Signal Processing
"... Abstract—The capacity of the two-user Gaussian interference channel has been open for 30 years. The understanding on this problem has been limited. The best known achievable region is due to Han and Kobayashi but its characterization is very complicated. It is also not known how tight the existing o ..."
Abstract - Cited by 451 (28 self) - Add to MetaCart
Abstract—The capacity of the two-user Gaussian interference channel has been open for 30 years. The understanding on this problem has been limited. The best known achievable region is due to Han and Kobayashi but its characterization is very complicated. It is also not known how tight the existing

Design of capacity-approaching irregular low-density parity-check codes

by Thomas J. Richardson, M. Amin Shokrollahi, Rüdiger L. Urbanke - IEEE TRANS. INFORM. THEORY , 2001
"... We design low-density parity-check (LDPC) codes that perform at rates extremely close to the Shannon capacity. The codes are built from highly irregular bipartite graphs with carefully chosen degree patterns on both sides. Our theoretical analysis of the codes is based on [1]. Assuming that the unde ..."
Abstract - Cited by 581 (6 self) - Add to MetaCart
We design low-density parity-check (LDPC) codes that perform at rates extremely close to the Shannon capacity. The codes are built from highly irregular bipartite graphs with carefully chosen degree patterns on both sides. Our theoretical analysis of the codes is based on [1]. Assuming

The Capacity of Low-Density Parity-Check Codes Under Message-Passing Decoding

by Thomas J. Richardson, Rüdiger L. Urbanke , 2001
"... In this paper, we present a general method for determining the capacity of low-density parity-check (LDPC) codes under message-passing decoding when used over any binary-input memoryless channel with discrete or continuous output alphabets. Transmitting at rates below this capacity, a randomly chos ..."
Abstract - Cited by 569 (9 self) - Add to MetaCart
In this paper, we present a general method for determining the capacity of low-density parity-check (LDPC) codes under message-passing decoding when used over any binary-input memoryless channel with discrete or continuous output alphabets. Transmitting at rates below this capacity, a randomly

Capacity Limits of MIMO Channels

by Andrea Goldsmith, Syed Ali Jafar, Nihar Jindal, Sriram Vishwanath - IEEE J. SELECT. AREAS COMMUN , 2003
"... We provide an overview of the extensive recent results on the Shannon capacity of single-user and multiuser multiple-input multiple-output (MIMO) channels. Although enormous capacity gains have been predicted for such channels, these predictions are based on somewhat unrealistic assumptions about t ..."
Abstract - Cited by 409 (17 self) - Add to MetaCart
We provide an overview of the extensive recent results on the Shannon capacity of single-user and multiuser multiple-input multiple-output (MIMO) channels. Although enormous capacity gains have been predicted for such channels, these predictions are based on somewhat unrealistic assumptions about

A Scheme for Real-Time Channel Establishment in Wide-Area Networks

by Domenico Ferrari, Dinesh C. Verma - IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS , 1990
"... Multimedia communication involving digital audio and/or digital video has rather strict delay requirements. A real-time channel is defined in this paper as a simplex connection between a source and a destination characterized by parameters representing the performance requirements of the client. A r ..."
Abstract - Cited by 710 (31 self) - Add to MetaCart
real-time service is capable of creating realtime channels on demand and guaranteeing their performance. These guarantees often take the form of lower bounds on the bandwidth allocated to a channel and upper bounds on the delays to be experienced by a packet on the channel. In this paper

Diversity and Multiplexing: A Fundamental Tradeoff in Multiple Antenna Channels

by Lizhong Zheng, David N. C. Tse - IEEE Trans. Inform. Theory , 2002
"... Multiple antennas can be used for increasing the amount of diversity or the number of degrees of freedom in wireless communication systems. In this paper, we propose the point of view that both types of gains can be simultaneously obtained for a given multiple antenna channel, but there is a fund ..."
Abstract - Cited by 1143 (20 self) - Add to MetaCart
Multiple antennas can be used for increasing the amount of diversity or the number of degrees of freedom in wireless communication systems. In this paper, we propose the point of view that both types of gains can be simultaneously obtained for a given multiple antenna channel, but there is a
Next 10 →
Results 1 - 10 of 235,229
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University