Name
Abstract | ||
|---|---|---|
Low angular spread of propagation environments and small interelement spacing within mobile terminals are two main factors degrading the capacity of multiple-input-multiple-output (MIMO) systems. This is particularly more evident in underground tunnels and mines that have lower angular spread compared to conventional environments. In such environments where colocated MIMO (C-MIMO) systems may not perform properly, we have shown that for access-point-to-mobile communications with limited and fixed antenna spacing at the mobile end, capacity close to that of an independent and identically distributed Rayleigh channel is achievable by employing distributed MIMO (D-MIMO) systems. To find and optimize C-MIMO and D-MIMO average capacities, we employed the waveguide-multimode model and particle-swarm-optimization method. We found that D-MIMO systems show desirable performance while significantly outperforming C-MIMO configurations. Nevertheless, D-MIMO desirable performance depends on the antennas' placement and is achievable for optimized locations. Based on the results, by uniformly distributing D-MIMO antennas along the tunnel axis and optimizing the transverse location of antennas afterward, suitable performance can be achieved. This paper is concluded by providing implications for D-MIMO antenna deployment in underground mines. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TWC.2014.2341587 | Wireless Communications, IEEE Transactions |
Keywords | Field | DocType |
MIMO communication,Rayleigh channels,antennas,mobile radio,particle swarm optimisation,underground communication,D-MIMO system,access point-to-mobile communications,antenna placement optimization,distributed MIMO systems,distributed Rayleigh channel,mobile terminal,multiple input multiple output systems,optimize C-MIMO average capacity,optimize D-MIMO average capacity,particle swarm optimization method,underground mines,waveguide multimode model,Distributed antenna system,antenna configuration,particle swarm optimization,under ground communication | MIMO-OFDM,Mimo systems,Multi-user MIMO,Software deployment,3G MIMO,Control theory,MIMO,Electronic engineering,Real-time computing,Independent and identically distributed random variables,Spatial multiplexing,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 9 | 1536-1276 |
Citations | PageRank | References |
6 | 0.51 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arghavan Emami-Forooshani | 1 | 8 | 1.43 |
| Abbas Ali Lotfi-Neyestanak | 2 | 6 | 0.51 |
| David G. Michelson | 3 | 116 | 17.07 |