非相干协作通信技术（硕士论文）

liuwei_0613

In a wireless network, users can relay information to exploit cooperative diversity,
thereby increasing reliability and reducing power consumption. This thesis focuses
on noncoherent communication theory for cooperative diversity.
This thesis develops a general framework for maximum likelihood (ML) demod-
ulation for cooperative diversity with a decode-and-forward protocol at the relays.
A piecewise-linear (PL) demodulator is developed as an accurate approximation of
nonlinear ML detectors. This PL detector leads to an involved yet closed-form ap-
proximation for the error probability of ML detectors. Numerical results show that
the approximation is very tight. Analysis based on the Bhattacharyya upper bound
suggests cooperative diversity with decoding relays does not achieve full diversity
order. This conclusion is supported by the high SNR approximation of error prob-
ability obtained from the PL approximation. This thesis also presents some results
about the application of convolutional codes in cooperative diversity. Given the
same spectral eciency, simulation results suggest that cooperative diversity can
perform better than non-cooperative single-hop in the block fading channel given
both schemes use ML detectors designed for the i.i.d. fading channel.

yangxiangyi

感激涕零

gregoryw

thanks

langzhen

liuhe19821115

keyile

zoushihe

太谢谢楼主了，可惜是英文的