Title :
Low Complexity ML Detection for Other-Cell Interference Mitigation in Mobile WiMAX Systems
Author :
Lee, Seung-Hwan ; Lee, Yong-Hwan
Author_Institution :
Sch. of Electr. Eng. & INMC, Seoul Nat. Univ., Seoul, South Korea
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.
Keywords :
WiMax; cellular radio; interference suppression; maximum likelihood detection; mean square error methods; radiofrequency interference; MMSE-OSIC detection; adjacent base station; cell boundary; low-complexity ML detection; maximum likelihood detection scheme; minimum-mean-square-error method; mobile WiMAX system; other-cell interference mitigation; signal vectors; successive interference cancellation; Antenna arrays; Base stations; Downlink; Interference cancellation; Maximum likelihood detection; Receiving antennas; Signal to noise ratio; System performance; Vectors; WiMAX; complexity; maximum likelihood; other-cell interference;
Conference_Titel :
Mobile WiMAX Symposium, 2009. MWS '09. IEEE
Conference_Location :
Napa Valley, CA
Print_ISBN :
978-1-4244-3989-8
Electronic_ISBN :
978-0-7695-3719-1
DOI :
10.1109/MWS.2009.22
