Abstract
This paper proposes a novel Kronecker-based stochastic model (KBSM) for massive multiple-input multiple-output (MIMO) channels. The proposed KBSM can not only capture antenna correlations but also the evolution of scatterer sets on the array axis. With the consideration of the evolution of scatterer sets, the overall correlation matrices of the transmitter and receiver are presented. In addition, upper and lower bounds of MIMO channel capacities in both the high and low signal-to-noise ratio (SNR) regimes are derived when the numbers of transmit and receive antennas are increasing unboundedly with a constant ratio. Furthermore, the evolution of scatterer sets on the array axis is shown to decrease spatial correlations of MIMO channels.
Original language | English |
---|---|
Title of host publication | 2015 IEEE/CIC International Conference on Communications in China (ICCC) |
Publisher | IEEE |
ISBN (Electronic) | 9781509002436 |
DOIs | |
Publication status | Published - 7 Apr 2016 |
Event | IEEE/CIC International Conference on Communications in China 2015 - Shenzhen, China Duration: 2 Nov 2015 → 5 Nov 2015 |
Conference
Conference | IEEE/CIC International Conference on Communications in China 2015 |
---|---|
Country/Territory | China |
City | Shenzhen |
Period | 2/11/15 → 5/11/15 |
Keywords
- birth-death process
- channel capacity bounds
- KBSM
- low and high SNR regimes
- Massive MIMO
ASJC Scopus subject areas
- Computer Networks and Communications