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However, there is a significant gap between the error performance of GFDM MMSE and DSIC/MF receivers for the case of employing modern channel coding.
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Codes of rate R = 2/4,3/4,3/5,4/5 are listed in Table1, which indicates the relationship between TC(Φ min ) and the error performance expressed in terms of the pairs (d i,N i ).
As mentioned previously, the error performance of VPPM for determining the performance tradeoff between dimming control and data communication according to the channel condition was derived.
However, the ratio between the RMS error performance of the suboptimal ReDif-PF tracker and the benchmark optimal DcPF/CbPFb algorithms remains approximately constant (close to a factor of two) along the simulation period for all three different values of σaccel employed.
However, due to its non-orthogonal structure, a trade-off between the complexity and error performance should be considered in the design of GFDM receivers.
This study is carried out on continuous and discrete domains for naive Bayes and Averaged One-Dependence EstimAODEs (AODE), which are two widely used incremental classifiers that provide some of the best trade-offs between error performance and efficiency.
Consequently, the number of stages in NAE and increment trials should be selected cautiously in accordance with the requirements of the communication system due to a trade-off between complexity and error performance.
Based on the PEP results, cooperative constellation optimization is also considered to achieve the balance between the transmission rate and error performance.
The reason for a usage variable threshold instead of fixed threshold is a trade-off between error performance and complexity reduction.
Bearing also impacted the timing error performance.
However, there is a considerable gap between GFDM DSIC/MF and OFDM error performance curves which means the negative effect of self-interference at the receiver side of GFDM MF receiver is more serious for configuration case 2 compared with configuration case 1.
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