Low complexity ML detection for other-cell interference mitigation in mobile WiMAX systems

Authors:
Seung-Hwan Lee;Yong-Hwan Lee
Affiliations:
School of Electrical Engineering and INMC, Seoul National University, Seoul, Korea;School of Electrical Engineering and INMC, Seoul National University, Seoul, Korea
Venue:
MWS'09 Proceedings of the 2009 IEEE conference on Mobile WiMAX
Year:
2009

Citing 3
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Abstract

The use of a maximum likelihood (ML) detection scheme is known to be optimum to mitigate other-cell interference near the cell boundary. However, it may not be applicable mainly due to implementation complexity. To alleviate this problem, we consider combined use of ML and minimum-mean-square-error based ordered successive interference cancellation (MMSE-OSIC) detection. The proposed scheme considers ML metric only for signal vectors of desired and adjacent base stations determined by the MMSE-OSIC. Simulation results show that when applied to the mobile-WiMAX systems, the proposed scheme can provide performance almost the same as the ML detection scheme.