Improved Network-Coded Cooperative Transmission with Low-Complexity Adaptation to Wireless Channels

Relay selection for DF-based cooperative vehicular systems

“…The error probability of the considered system can be obtained by substituting (14), (18), and (19) into (13).…”

“…In this approach, detection errors at the relay are modeled as the addition of virtual noise [14]. In this case, we rewrite the received signal at the destination in the second phase as:…”

“…The variance of term e r in (22) is N 0 = α SR k j j 2 [14]. The combined signal at the destination in case of VN-based detection can be given as [14]:…”

“…In [13], Yi and Kim showed that cooperative maximal ratio combining (C-MRC) technique has nearly the same performance as the optimum ML technique with less complexity and they combined the C-MRC technique with the relay selection. Another recent demodulation technique developed for combating error propagation problem is virtual noise (VN)-based detection [14]. This technique depends on the idea of considering the detection errors at the relay as addition of virtual noise at the destination node.…”

“…This new concept removes the computational complexity encountered in realization of ML-based receivers and provides full diversity advantage. In [14], VN-based demodulation approach has been applied to different cooperative communication scenarios. In [15][16][17][18][19][20], log-likelihood-ratio (LLR)-based transmission model which is also known as decodeamplify-forward (DAF) protocol or soft information relaying has been proposed as another promising method for alleviating the effect of error propagation.…”