Results 1 - 10 of 8,105

On overloaded vector precoding for single-user MIMO channels

by Rodrigo De Miguel, Ralf R. Müller, Senior Member, Finn F. Knudsen - IEEE Trans. Wireless Comm , 2009
"... Abstract—We address the possibility of overloaded vector precoding in single user MIMO channels, i.e. the number of data streams is larger than the minimum of the number of antennas at transmitter and receiver side. We find that the convex vector precoding introduced in [1] allows for overloading wh ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
Abstract—We address the possibility of overloaded vector precoding in single user MIMO channels, i.e. the number of data streams is larger than the minimum of the number of antennas at transmitter and receiver side. We find that the convex vector precoding introduced in [1] allows for overloading

Capacity Limits of MIMO Channels

by Andrea Goldsmith, Sriram Vishwanath, et al. - 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 419 (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

Capacity Limits of MIMO Channels

by Sriram Vishwanath, Student Member - IEEE J. Select. Areas Commun , 2003
"... Abstract—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 ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Abstract—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

Fundamental Capacity of MIMO Channels

by Andrea Goldsmith, Syed Ali Jafar, Nihar Jindal, Sriram Vishwanath - IEEE Journal on Selected Areas in Communications, Special Issue on MIMO systems , 2002
"... 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 th ..."
Abstract - Cited by 6 (0 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

1 MIMO Capacity with Per-Antenna Power Constraint

by Mai Vu
"... Abstract—In this paper, we consider the single-user MIMO channel with per-antenna power constraint. We formulate the capacity optimization problem with per-antenna constraint in the SDP framework and analyze its optimality conditions. We establish in closed-form the optimal input covariance matrix a ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract—In this paper, we consider the single-user MIMO channel with per-antenna power constraint. We formulate the capacity optimization problem with per-antenna constraint in the SDP framework and analyze its optimality conditions. We establish in closed-form the optimal input covariance matrix

Relative Channel Reciprocity Calibration in MIMO/TDD Systems

by Florian Kaltenberger, Haiyong Jiang, Maxime Guillaud, Raymond Knopp
"... Abstract: Channel state information at the transmitter (CSIT) can greatly improve the capacity of a wireless MIMO communication system. In a time division duplex (TDD) system CSIT can be obtained by exploiting the reciprocity of the wireless channel. This however requires calibration of the radio fr ..."
Abstract - Cited by 7 (1 self) - Add to MetaCart
-directional channel measurements, which were performed using the Eurecom MIMO Openair Sounder (EMOS). We demonstrate that in a single-user MIMO channel and for low signal-to-noise (SNR) ratios, the relative calibration method can increase the capacity close to the theoretical limit. 1.

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 2923 (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

On the capacity of MIMO broadcast channel with partial side information

by Masoud Sharif, Babak Hassibi - IEEE TRANS. INFORM. THEORY , 2005
"... In multiple-antenna broadcast channels, unlike point-to-point multiple-antenna channels, the multiuser capacity depends heavily on whether the transmitter knows the channel coefficients to each user. For instance, in a Gaussian broadcast channel with transmit antennas and single-antenna users, the ..."
Abstract - Cited by 349 (9 self) - Add to MetaCart
In multiple-antenna broadcast channels, unlike point-to-point multiple-antenna channels, the multiuser capacity depends heavily on whether the transmitter knows the channel coefficients to each user. For instance, in a Gaussian broadcast channel with transmit antennas and single-antenna users

Limited Feedback for Interference Alignment in the K-user MIMO Interference Channel

by Mohsen Rezaee, Maxime Guillaud
"... Abstract—A simple limited feedback scheme is proposed for interference alignment on the K-user Multiple-Input-Multiple-Output Interference Channel (MIMO-IC). The scaling of the number of feedback bits with the transmit power required to preserve the multiplexing gain that can be achieved using perfe ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
perfect channel state information (CSI) is derived. This result is obtained through a reformulation of the interference alignment problem in order to exploit the benefits of quantization on the Grassmann manifold, which is well investigated in the single-user MIMO channel. Furthermore, through simulations

Cooperative strategies and capacity theorems for relay networks

by Gerhard Kramer, Michael Gastpar, Piyush Gupta - IEEE TRANS. INFORM. THEORY , 2005
"... Coding strategies that exploit node cooperation are developed for relay networks. Two basic schemes are studied: the relays decode-and-forward the source message to the destination, or they compress-and-forward their channel outputs to the destination. The decode-and-forward scheme is a variant of ..."
Abstract - Cited by 739 (19 self) - Add to MetaCart
channel knowl-edge is available at the transmitters, and cases where local user co-operation is permitted. The results further extend to multisource and multidestination networks such as multiaccess and broadcast relay channels.
Results 1 - 10 of 8,105