Browsing by Author "Kuang, Jie-Gang"

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BER Improved Transmit Power Allocation for D-STTD Systems with QR-Based Successive Symbol Detection
(2009)
Wu, Jwo-Yuh
;
Kuang, Jie-Gang
;
Lee, Ta-Sung
;
電信工程研究所
;
Institute of Communications Engineering
We propose a BER improved power allocation scheme for D-STTD systems over i.i.d. Rayleigh fading channels under the OR-based successive detection framework. Instead of relying on BER under a fixed channel realization, the adopted design criterion is the mean BER (assuming there is no inter-layer error propagation) averaged with respect to the channel distribution. Such a design metric has two-fold advantages: (i) It is analytically tractable and is closely related to a block error probability upper pound when inter-layer error propagation occurs, and (ii) There is no need for repeated feedback of the instantaneous channel information. By exploiting a distinctive channel matrix structure unique to D-STTD systems we derive a closed-form approximate tipper bound of the considered BER metric; through minimization (if this bound an optimal power allocation scheme is obtained. Numerical simulation is used to illustrate the performance of the proposed method.
BER minimized power allocation for quasi-orthogonal space-time block coded signals with QR-based successive detection
(2007)
Wu, Jwo-Yuh
;
Fan, Sheng-Po
;
Kuang, Jie-Gang
;
Lee, Ta-Sung
;
電信工程研究所
We propose a minimal BER power allocation scheme for a class of quasi-orthogonal space-time block coded transmission (the so-called ABBA system) over i.i.d. Rayleigh fading channels under the QR-based successive detection framework. Instead of relying on BER under a fixed channel realization, the design criterion we adopt is the overall mean BER averaged with respect to the channel distribution. By exploiting a distinctive channel matrix structure induced by the ABBA code we derive a closed-form upper bound of the considered BER metric and, through minimization of which, an optimal power allocation scheme is obtained. Numerical simulation shows that the resultant performance is almost identical to that of the joint maximum-likelihood decoding in the medium-to-high SNR regime.