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For symbol by symbol channel estimation, disjoint set have been widely studied in the literature (see[2, 3, 16, 18] and the references therein).
In fact, as can be observed from Figure 5, semi-blind recovery of symbol, channel, and codes is achieved even when M r =1.
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(A1) Information symbols, channel realization, and noise samples are statistically independent.
If the channel remains constant over several OFDM symbols, channel estimation by training OFDM symbols may be sufficient for symbol detection.
Owing to the time-variation of channel coefficients between OFDMA symbols, channel estimation performed in [14] is required in each separate OFDMA symbol.
In the above, S k,U k,N k and Ŝ k − 1, respectively represent the vector of input symbols, channel outputs, noise samples and the decoder decisions that influence the equalizer output at time k.
Parameters Value Frequency 2.3 GHz System bandwidth 8.75 MHz FFT size 1024 Number of data subcarriers 768 Number of symbols per frame Downlink: 27 symbols Uplink: 15 symbols Channel coding Convolutional turbo code Frame duration 5 ms Symbol duration 115.2 s Number of subcarriers per subchannel 48 Number of subcarriers per CQI channel 48 Table 2 Transmission modes for AMC.
The Sixty Symbols channel on You Tube features a bunch of physicist at the University of Nottingham.
Interesting tradeoffs for joint symbol-channel-code estimation can explicitly be obtained.
We also address the problem of joint symbol-channel-code estimation for the proposed system by capitalizing on the uniqueness properties of the PARAFAC model.
Our aim is, therefore, to show that joint symbol-channel-code estimation is still possible in this situation thanks to the joint use of SFSM and PARAFAC modeling.
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