Abstract
In this paper, the system model and performance analysis of macroscopic diversity combining (MDC) multiple-input multiple-output (MIMO) systems are presented for mobile cellular communication applications. The channel capacity of MIMO systems will deteriorate if the dual antenna array (DAA) spacing is insufficient or the scattering environment does not provide completely uncorrelated channels. In addition, the shadowing component of the directional signal is a common factor among the scattered channels, resulting in significant reductions in obtainable channel capacity. Therefore, in this paper, a macroscopic diversity topology is applied to maximize the spatial multiplexing gain while combating the shadowing phenomena. The channel capacity as well as its upper and lower bounds are derived for MIMO-based MDC systems. Additionally, the outage capacity for the proposed MDC system topology has been analyzed. Compared to a single communicating MIMO system pair, the results show that the macroscopic diversity MIMO communication topology enables a larger number of uncorrelated shadowed and scattered channels to exist, and therefore, improvements of enhanced channel capacity and reduced outage is obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 454-462 |
| Number of pages | 9 |
| Journal | AEU - International Journal of Electronics and Communications |
| Volume | 59 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2005 Dec 1 |
Bibliographical note
Funding Information:In August 2002, Dr. Jeong joined the Advanced Communication Systems Engineering Laboratory (ACSEL), Oklahoma Communication Laboratory for Networking and Bioengineering (OCLNB), and the School of Electrical and Computer Engineering, where he is currently working as a Research Assistant Professor. He has taught several graduate level courses, and is involved in projects funded by the US Department of Defense and industry. He was invited for presentations at the Asilomar Conference on Signals, Systems, and Computers 2004. His research interests include wireless communications, information theory, and signal processing.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering