Matrix analysis
Elements of information theory
Elements of information theory
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Rayleigh fading multi-antenna channels
EURASIP Journal on Applied Signal Processing - Space-time coding and its applications - part I
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
On the channel capacity of multiantenna systems with Nakagami fading
EURASIP Journal on Applied Signal Processing
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Majorization and matrix-monotone functions in wireless communications
Foundations and Trends in Communications and Information Theory
Characterizing the statistical properties of mutual information in MIMO channels
IEEE Transactions on Signal Processing
Very tight capacity bounds for MIMO-correlated Rayleigh-fading channels
IEEE Transactions on Wireless Communications
On the capacity of multiple-antenna systems in Rician fading
IEEE Transactions on Wireless Communications
Capacity of MIMO Rician channels
IEEE Transactions on Wireless Communications
Capacity of correlated MIMO Rayleigh channels
IEEE Transactions on Wireless Communications
On the capacity of doubly correlated MIMO channels
IEEE Transactions on Wireless Communications
Asymptotic statistics of mutual information for doubly correlated MIMO channels
IEEE Transactions on Wireless Communications
Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
On the capacity of spatially correlated MIMO Rayleigh-fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
General Capacity Bounds for Spatially Correlated Rician MIMO Channels
IEEE Transactions on Information Theory
The asymptotic capacity of multiple-antenna Rayleigh-fading channels
IEEE Transactions on Information Theory
On the Ergodic Capacity of Rank-1 Ricean-Fading MIMO Channels
IEEE Transactions on Information Theory
On the MIMO Channel Capacity for the Nakagami- Channel
IEEE Transactions on Information Theory
Performance of simulcast wireless techniques for personal communication systems
IEEE Journal on Selected Areas in Communications
Capacity of MIMO channels: asymptotic evaluation under correlated fading
IEEE Journal on Selected Areas in Communications
On the capacity of non-uniform phase MIMO Nakagami-m fading channels
IEEE Communications Letters
On the capacity of generalized-K fading MIMO channels
IEEE Transactions on Signal Processing
Hi-index | 35.69 |
This paper studies the ergodic capacity limits of multiple-input multiple-output (MIMO) antenna systems with arbitrary finite number of antennas operating on general fading environments. Through the use of majorization theory, we first investigate in detail the ergodic capacity of Nakagami-m fading channels, for which we derive several ergodic capacity upper and lower bounds. We then show that a simple expression for the capacity upper bound is possible for high signal-to-noise ratio (SNR), which permits to analyze the impact of the channel fading parameter m on the ergodic capacity. The asymptotic behavior of the capacity in the large-system limit in which the number of antennas at one or both side(s) goes to infinity, is also addressed. Results demonstrate that the capacity scaling laws for Nakagami-m and Rayleigh-fading MIMO channels are identical. Finally, we employ the same technique to distributed MIMO (D-MlMO) systems undergoing composite log-normal and Nakagami fading, where we derive similar ergodic capacity upper and lower bounds. Monte Carlo simulation results are provided to verify the tightness of the proposed bounds.