Complexity reduced space ML detection for other-cell interference mitigation in SIMO cellular systems
✍ Scribed by Lee, Seung-Hwan ;Kim, Hyung-Sin ;Lee, Yong-Hwan
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 194 KB
- Volume
- 22
- Category
- Article
- ISSN
- 1124-318X
- DOI
- 10.1002/ett.1465
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✦ Synopsis
Abstract
The use of a space maximum likelihood (S‐ML) detection scheme is known to be optimum to mitigate other‐cell interference (OCI) near the cell boundary. However, it is not applicable mainly due to implementation complexity. To reduce the implementation complexity, we consider combined use of S‐ML detection and minimum‐mean‐square‐error based ordered successive interference cancellation (MMSE‐OSIC) in single‐input multi‐output cellular systems. Instead of exhaustive full search for the S‐ML detection, the proposed scheme considers ML metric only for signal vectors of desired and adjacent base stations determined by the MMSE‐OSIC. The analytic and simulation results show that the proposed scheme can provide performance almost the same as the S‐ML detection scheme near the cell boundary environment, while remarkably reducing the implementation complexity. Copyright © 2011 John Wiley & Sons, Ltd.