Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Channel-Adaptive Technologies and Cross-Layer Designs for Wireless Systems with Multiple Antennas: Theory and Applications (Wiley Series in Telecommunications and Signal Processing)
SIAM Journal on Matrix Analysis and Applications
Diversity gains of power control with noisy CSIT in MIMO channels
IEEE Transactions on Information Theory
Limited-rate channel state feedback for multicarrier block fading channels
IEEE Transactions on Information Theory
Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals
IEEE Transactions on Signal Processing
On the asymptotic performance of multiple antenna channels with quantized feedback
IEEE Transactions on Wireless Communications
Single-input two-way SIMO channel: diversity-multiplexing tradeoff with two-way training
IEEE Transactions on Wireless Communications - Part 1
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
On the capacity of some channels with channel state information
IEEE Transactions on Information Theory
Limiting performance of block-fading channels with multiple antennas
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff in multiple-access channels
IEEE Transactions on Information Theory
The MIMO ARQ Channel: Diversity–Multiplexing–Delay Tradeoff
IEEE Transactions on Information Theory
Diversity and Multiplexing Tradeoff in General Fading Channels
IEEE Transactions on Information Theory
Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT
IEEE Transactions on Information Theory
Exponential Diversity Achieving Spatio–Temporal Power Allocation Scheme for Fading Channels
IEEE Transactions on Information Theory
Diversity–Multiplexing Tradeoff and Outage Performance for Rician MIMO Channels
IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Performance of multiple access channels with asymmetric feedback
IEEE Journal on Selected Areas in Communications
Bits About the Channel: Multiround Protocols for Two-Way Fading Channels
IEEE Transactions on Information Theory
Hi-index | 754.84 |
Most communication systems use some form of feedback, often related to channel state information. The common models used in analyses either assume perfect channel state information at the receiver and/or noiseless state feedback links. However, in practical systems, neither is the channel estimate known perfectly at the receiver and nor is the feedback link perfect. In this paper, we study the achievable diversity multiplexing tradeoff using i.i.d. Gaussian codebooks, considering the errors in training the receiver and the errors in the feedback link for frequency division duplex (FDD) systems, where the forward and the feedback are independent multiple input multiple output (MIMO) channels. Our key result is that the maximum diversity order with one-bit of feedback information is identical to systems with more feedback bits. Thus, asymptotically in SNR, more than one bit of feedback does not improve the system performance at constant rates. Furthermore, the one-bit diversity-multiplexing performance is identical to the system which has perfect channel state information at the receiver along with noiseless feedback link. This achievability uses novel concepts of power controlled feedback and training, which naturally surface when we consider imperfect channel estimation and noisy feedback links. In the process of evaluating the proposed training and feedback protocols, we find an asymptotic expression for the joint probability of the SNR exponents of eigenvalues of the actual channel and the estimated channel which may be of independent interest.