DocumentCode
1634769
Title
BER-Minimized Space-Time-Frequency Codes for MIMO Highly Frequency-Selective Block-Fading Channels
Author
Liu, Wei-Cheng ; Wang, Li-Chun
Author_Institution
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu
fYear
2008
Firstpage
5113
Lastpage
5117
Abstract
In this paper, we present bit error rate (BER)- minimized space-time-frequency (STF) block codes for multi- input multi-output (MIMO) highly frequency-selective block- fading channels. We consider the IEEE 802.15.3 a ultra-wide band (UWB) channel models (CM) 1-4. Based on a new STF block codes design criterion with the objective of minimizing BER, we develop an efficient searching algorithm for the design of the optimal STF block codes which maximize the coding gain. For 128 subcarriers with two subcarriers jointly encoding with 2-4 transmitting antennas, we find that the optimal STF block codes for all the IEEE 802.15.3 a UWB channel models CM 1-4 can be found. Furthermore, the designed STF block codes outperform the recently published high-rate full-diversity STF codes [1] by 1 dB. Last, the proposed STF codes can be decoded by maximum likelihood decoding approach, which is simpler than the sphere decoding principle used in [1]. Index Terms-Bit error rate (BER), block-fading channels, IEEE 802.15.3 a channel model, multi-input multi- output (MIMO), space-time-frequency (STF) block codes, ultra- wideband (UWB).
Keywords
MIMO communication; block codes; error statistics; fading channels; space-time codes; ultra wideband communication; IEEE 802.15.3; MIMO; bit error rate; frequency-selective block-fading channel; maximum likelihood decoding; multiinput multioutput system; space-time-frequency block code; ultrawide band channel; Algorithm design and analysis; Bit error rate; Block codes; Error analysis; Fading; Frequency; MIMO; Maximum likelihood decoding; Transmitting antennas; Ultra wideband antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2075-9
Electronic_ISBN
978-1-4244-2075-9
Type
conf
DOI
10.1109/ICC.2008.960
Filename
4533996
Link To Document