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
Environmental issues for MIMO capacity
IEEE Transactions on Signal Processing
MIMO communications in ad hoc networks
IEEE Transactions on Signal Processing
Optimized signaling for MIMO interference systems with feedback
IEEE Transactions on Signal Processing
Multiple-antenna capacity in the low-power regime
IEEE Transactions on Information Theory
Array gain and capacity for known random channels with multiple element arrays at both ends
IEEE Journal on Selected Areas in Communications
Largest eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems
IEEE Journal on Selected Areas in Communications
MIMO capacity with interference
IEEE Journal on Selected Areas in Communications
| Hi-index | 35.68 |
In this correspondence, we present an asymptotic analysis of spectral efficiency of MIMO ad hoc networks. We consider a MIMO ad hoc network where links, each consisting of a transmitter/receiver pair,communicate independent information over the network, simultaneously.Each transmitter node has antennas and each receiver node is equipped with antennas. It is assumed that for each user, perfect channel stateinformation (CSI) is available at its transmitter and receiver. The exact asymptotic spectral efficiency of large MIMO ad hoc networks has been considered to be an unsolved problem until now. A lower bound has been found by Chen and Gans based on using beamforming as a sub-optimal transmission scheme. In this work, we show that the previously presented lower bound is also an upper bound when L goes to infinity, all links use full power and single-user decoding is used; hence, it represents the exact asymptotic spectral efficiency (ASE) of the network. Therefore, the network ASE is equal to the mean value of the largest eigenvalue of the channel covariance matrix which is upper bounded by (√Nt+√Nr)2 for large values of Nt and Nr.