Some channel coding schemes for 5G mobile communication system is facing difficulty in satisfying the user requirements in machine-type communication. This paper evaluates different channel coding schemes (LDPC, turbo...
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Some channel coding schemes for 5G mobile communication system is facing difficulty in satisfying the user requirements in machine-type communication. This paper evaluates different channel coding schemes (LDPC, turbo, polar, systematic convolutional, and non-systematic convolutional codes) on an AWGN channel with BPSK modulation of code rate 1/2, in order to suggest the optimum channel coding scheme for the 5G mobile communication system for short length message transmission in machine-type communication. The analysis of the different channel coding schemes is based on flexibility, complexity, latency, and reliability according to the user requirements in machine-type communication. The main user requirements of machine-type communication for 5G channel coding scheme are better flexibility, low complexity, low latency, and high reliability in communication. Hence, the evaluation of different channel coding schemes is mainly based on satisfying user requirements in machine-type communication. The evaluation of the results shows that the systematic convolutional code is the optimum channel coding scheme in terms of better flexibility, low encoding computationallatency, and higher reliability for the 5G mobile communication system for short length message transmission (k1024 bits) in machine-type communication. Whereas, the polar code has the lowest decodingcomputational complexity.
This paper investigates a communication system where three terminals exchange their information with each other with the help of a relay. One joint network and channelcoding (JNCC) scheme (based on iterative soft inf...
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ISBN:
(纸本)9781424480166
This paper investigates a communication system where three terminals exchange their information with each other with the help of a relay. One joint network and channelcoding (JNCC) scheme (based on iterative soft information exchange between channel and network decoder) and one separate network and channel coding scheme based on turbo codes are proposed. The outage behavior of the presented systems are compared with two reference systems, where no network coding (NC) is applied. It is shown that the network coding approaches allow the system to gain diversity for higher rates than the schemes without NC. Moreover, JNCC outperforms the separate approach by exploiting the redundancy provided by the network code.
We consider the application of non-binary codingschemes to vector channels, in particular we apply q-ary LDPC codes to multiple-antenna transmission schemes. Based on the principle of providing a good equivalent chan...
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ISBN:
(纸本)9781424493326
We consider the application of non-binary codingschemes to vector channels, in particular we apply q-ary LDPC codes to multiple-antenna transmission schemes. Based on the principle of providing a good equivalent channel to the codingscheme, we directly map the code symbols to the transmit signal and find some suitable multi-dimensional mappings. The performance is assessed by simulations and we find that non-binary coding with direct mapping provides a significant advantage over its binary counterpart and over some space-time diversity schemes.
This paper studies the secrecy coding analysis achieved by the self-jamming technique in the presence of an eavesdropper by considering a short-packet Full-Duplex (FD) transmission developed based on iterative blind o...
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This paper studies the secrecy coding analysis achieved by the self-jamming technique in the presence of an eavesdropper by considering a short-packet Full-Duplex (FD) transmission developed based on iterative blind or semi-blind channel estimation and advanced decoding algorithms. Indeed, the legitimate receiver and eavesdropper can simultaneously receive the intended signal from the transmitter and broadcast a self-jamming or jamming signal to the others. Unlike other conventional techniques without feedback, the blind or semi-blind algorithm applied at the legitimate receiver can simultaneously estimate, firstly, the Self-Interference (SI) channel to cancel the SI component and, secondly, estimate the propagation channel, then decode the intended messages by using 5G Quasi-Cyclic Low-Density Parity Check (QC-LDPC) codes. Taking into account the passive eavesdropper case, the blind channel estimation with a feedback scheme is applied, where the temporary estimation of the intended channel and the decoded message are fed back to improve both the channel estimation and the decoding processes. Only the blind algorithm needs to be implemented in the case of a passive eavesdropper because it achieves sufficient performances and does not require adding pilot symbols as the semi-blind algorithm. In the case of an active eavesdropper, based on its robustness in the low region of the Signal-to-Noise Ratio (SNR), the semi-blind algorithm is considered by trading four pilot symbols and only requiring the feedback for channel estimation processes in order to overcome the increase in noise in the legitimate receiver. The results show that the blind or semi-blind algorithms outperform the conventional algorithm in terms of Mean Square Error (MSE), Bit Error Rate (BER) and security gap (S-g). In addition, it has been shown that the blind or semi-blind algorithms are less sensitive to high SI and self-jamming interference power levels imposed by secured FD transmission than the c
Researchers in China have used a technique called successive cancellation stack to improve the performance of polar codes. Even in high signal-to-noise ratio systems, the system offers low complexity and state-of-the-...
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Researchers in China have used a technique called successive cancellation stack to improve the performance of polar codes. Even in high signal-to-noise ratio systems, the system offers low complexity and state-of-the-art performance. Kai Niu of the Beijing University of Posts and Telecommunications in China tells us more.
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