Fig 2 - uploaded by Victor Cionca
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BER versus Eb/No under different channel codes at 0.5 code rate, the line plots represent 95% percentile values
Source publication
Industrial communications have very tight requirements of reliability and latency, which are challenging to achieve at highly dynamic industrial radio channels. Redundancy in the modulation and coding can improve reliability but incurs excess latency. Minimizing latency subject to reliability constraint for a given channel state opens up the scope...
Contexts in source publication
Context 1
... 11, 16, 24A, 24B, and 24C) for CRC generation. This facilitated studying the impact of CRC bit length and the generator polynomials on the reliability performance. The reliability performance was measured in-terms of BER versus Eb/No, the energy per bit to noise power spectral density ratio or normalized SNR for a considered range of 0 dB -24dB. Fig. 2 presents the 95th percentile BER values. The polar codes generally outperformed convolutional and LDPC codes, and LDPC codes performed better compared to convolutional. Polar codes considerably improved the BER performance with longer CRCs, surpassing LDPC performance with CRC >=16 bits. With the 24 bit CRC, the 24C polynomial has ...
Context 2
... polar decoding times tp are obtained referring to same F and P and tc for convolutional codes from [33] for likewise FPGA implemented Viterbi decoder ensuring unbiased comparisons of decoding times. Fig.2 the reliability decreases for polar, LDPC and convolutional codes respectively affecting the packet transmission times as expected. ...
Citations
... For a given channel state, the PHY parameters can be optimized given URLLC requirements to minimize latency subject to reliability constraints [12]. As the channel state changes, the fixed configuration will lead to violations of either reliability or latency requirements. ...
... The total packet transmission time T pkt depends on the number of data symbols N data sym , the number of preambles symbols N pre sym , the sample time duration T s , and the decoding latency component T D for polar codes as in (2). Calculation of T D for polar codes depends on R code and N CRC , and follows the process explained in Equations (4) and (5) in [12]. ...
... For a considered OFDM configuration N pre sym is independent of the payload size, and there is an identifiable trade-off between N F F T and N data sym on the T pkt as explained in [12]. Therefore, N F F T , T cp from the OFDM aspect, the CRC size N CRC , and the R code from the polar coding aspect are key candidates for optimization. ...
In this paper, we propose a two-user polar-coded physical-layer network coding (TU-PC-PNC) scheme for the Gaussian multiple access channel (GMAC) to enhance the transmission reliability. We first investigate the characteristics of polar encoding and derive the concatenated codeword structure, by which we can implement the message exclusive OR (XOR)-based PNC via code construction and improve the channel polarization effect. The PNC-aided decoding rule based on the concatenated codeword is then invented to compute the initial messages for recovery. In addition, we introduce the joint optimization framework by Monte Carlo-based method, which can be used to optimize the polar code and power allocation with maximized sum user rate. The capacity analysis of the bit-channels and simulation results show that the proposed TU-PC-PNC can significantly outperform the benchmark scheme by more than 1 dB under the GMAC
