Elements of information theory
Elements of information theory
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Third Generation Mobile Communication Systems
Third Generation Mobile Communication Systems
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Convex Optimization
Wireless Communications
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Fundamentals of wireless communication
Fundamentals of wireless communication
Channel state feedback over the MIMO-MAC
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
On downlink beamforming with greedy user selection: performance analysis and a simple new algorithm
IEEE Transactions on Signal Processing - Part I
Space Division Multiple Access With a Sum Feedback Rate Constraint
IEEE Transactions on Signal Processing - Part II
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
Fast transfer of channel state information in wireless systems
IEEE Transactions on Signal Processing
On the performance of random vector quantization limited feedback beamforming in a MISO system
IEEE Transactions on Wireless Communications
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
A universal lattice code decoder for fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Fading channels: how perfect need "perfect side information" be?
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
To code, or not to code: lossy source-channel communication revisited
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
On maximum-likelihood detection and the search for the closest lattice point
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff in multiple-access channels
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
On the asymptotic capacity of stationary Gaussian fading channels
IEEE Transactions on Information Theory
Dirty-paper coding versus TDMA for MIMO Broadcast channels
IEEE Transactions on Information Theory
A close-to-capacity dirty paper coding scheme
IEEE Transactions on Information Theory
Superposition coding for side-information channels
IEEE Transactions on Information Theory
Feedback rate-capacity loss tradeoff for limited feedback MIMO systems
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
The Optimality of Transmit Beamforming: A Unified View
IEEE Transactions on Information Theory
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications
Channel state feedback schemes for multiuser MIMO-OFDM downlink
IEEE Transactions on Communications
Scheduling for multiuser MIMO broadcast systems: transmit or receive beamforming?
IEEE Transactions on Wireless Communications
Achieving high data rates in a distributed MIMO system
Proceedings of the 18th annual international conference on Mobile computing and networking
Wireless Personal Communications: An International Journal
A Novel CSI Feedback Method for Dynamic SU/MU MIMO Adaptation
Wireless Personal Communications: An International Journal
AirSync: enabling distributed multiuser MIMO with full spatial multiplexing
IEEE/ACM Transactions on Networking (TON)
Transmission Scheme for 2D Antenna Array MIMO Systems with Limited Feedback
Wireless Personal Communications: An International Journal
Hi-index | 754.85 |
In this paper, we consider a multiple-input-multiple-output (MIMO) fading broadcast channel and compute achievable ergodic rates when channel state information (CSI) is acquired at the receivers via downlink training and it is provided to the transmitter by channel state feedback. Unquantized (analog) and quantized (digital) channel state feedback schemes are analyzed and compared under various assumptions. Digital feedback is shown to be potentially superior when the feedback channel uses per channel state coefficient is larger than 1. Also, we show that by proper design of the digital feedback link, errors in the feedback have a minor effect even if simple uncoded modulation is used on the feed-back channel. We discuss first the case of an unfaded additive white Gaussian noise (AWGN) feedback channel with orthogonal access and then the case of fading MIMO multiple access (MIMO-MAC). We show that by exploiting the MIMO-MAC nature of the uplink channel, a much better scaling of the feedback channel resource with the number of base station (BS) antennas can be achieved. Finally, for the case of delayed feedback, we show that in the realistic case where the fading process has (normalized) maximum Doppler frequency shift 0 ≤ F F of the optimal multiplexing gain is achievable. The general conclusion of this work is that very significant downlink throughput is achievable with simple and efficient channel state feedback, provided that the feedback link is properly designed.