Title :
Novel Symbol-Wise ML Decodable STBC for IEEE 802.16e/m Standard
Author :
Ren, Tian Peng ; Yuen, Chau ; Yong Liang Guan ; Shen, Rong Jun
Author_Institution :
Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Abstract-In this paper, novel real symbol-wise ML decodable STBCs with balanced information distribution per codeword are constructed systemically for arbitrary number of transmit antennas. Compared with the existing real symbol-wise ML decodable STBCs in IEEE 802.16e standard, the proposed STBCs also have lower peak-to-average power ratio (PAPR) and better performance even without adaptive antenna grouping based on channel state information(CSI) feedback.
Keywords :
Monte Carlo methods; block codes; channel capacity; error statistics; maximum likelihood estimation; space-time codes; balanced information distribution; channel state information; symbol-wise ML decodable STBC; Adaptive arrays; Antenna feeds; Block codes; Code standards; Maximum likelihood decoding; Peak to average power ratio; Receiving antennas; Robustness; State feedback; Transmitting antennas;
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4244-2514-3
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2009.5378731
