Multiple-antenna capacity in the low-power regime
By Angel E. Lozano, Antonia Maria Tulino, Sergio Verdú. IEEE Transactions on Information Theory, 2003
332 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/58b5587bc089aafa1e18eed981f9f72b92dd0b79
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Angel E. Lozano
- Vincent Kin Nang Lau
- Sergio Verdú
- Antonia Maria Tulino
- Ross Murch
- Kaibin Huang
- Rui Zhang
- Andrea J. Goldsmith
In Computer Networks and Communications
- Angel E. Lozano
- Antonia Maria Tulino
- Sergio Verdú
- Vincent Kin Nang Lau
- Ross Murch
- Robert W. Heath
- Erik G. Larsson
- Giuseppe Caire
In Electrical and Electronic Engineering
- Antonia Maria Tulino
- Angel E. Lozano
- Sergio Verdú
- Vincent Kin Nang Lau
- Wai Ho Mow
- Ross Murch
- Robert W. Heath
- Erik G. Larsson
Citations in the corpus
- Impact of antenna correlation on the capacity of multiantenna channels (2005, background): “In order to evaluate the tradeoffs between power and bandwidth [13], it is often convenient to express the capacity, not only as function of the SNR, but also as function of the transmitted energy per bit relative to the noise level Eb N0 = E[‖x‖2] N0 C(SNR) (11)”
- On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error (2007, background): “According to [7] and [8], when Nr > Nt, one has”
- Power Scaling of Uplink Massive MIMO Systems With Arbitrary-Rank Channel Means (2014, unknown): “In our analysis, the fast fading channel matrix consists of an arbitrary-rank deterministic component, and a Rayleigh-distributed random component accounting for the scattered signals [18].”
- Random Matrix Theory and Wireless Communications (2004, background): “[164, 96] For a central Wishart matrix W ∼ Wm(n, I), E[tr{W}] = mn E[tr{W2}] = mn (m + n) E[tr2{W}] = mn (mn + 1).”
- MIMO Networks: The Effects of Interference (2008, unknown): “Index Terms—Eigenvalues distribution, Gaussian quadratic forms, hypergeometric functions of matrix arguments, interference, multiple-input multiple-output (MIMO), Wishart matrices.”