Abstract
The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm was developed by taking into account only a small number (four at least) pilot symbols, which was integrated with the intended information sequence and used for the feedback loop of the estimation of the channels. The results showed that this semi-blind algorithm not only achieved nearly optimal performance, but also significantly reduced the processing time and computational complexity. This semi-blind algorithm can also improve the performances of the Mean-Squared Error (MSE) and Bit Error Rate (BER). The results of this study highlight the potential efficiency of this joint semi-blind iterative algorithm for 5G and Beyond and/or practical IoT transmission scenarios.
Highlights
The Internet of Things (IoT) has become an integral part of human life with various applications in industry, manufacturing, agriculture, healthcare, etc
Communications [4]. ultra-Reliable Low-Latency Communications (uRLLC) is a new class of performance communications that focuses strictly on the highest possible reliability and enables latency as low as 1 ms, since it concentrates on supporting mission-critical applications such as intelligent transportation and industry automation [2,5]. mMTC focuses mainly on efficiently transmitting a low data amount intermittently to and from devices that require wide area coverage and a long battery life, which can be up to thousands of devices such as wearable or smart applications and sensors in the IoT [6]
The performances of the proposed scheme, compared with the conventional scheme SB_DSICED3_W/OF, are illustrated in terms of the Mean-Squared Error (MSE), Bit Error Rate (BER), and processing time by using Monte Carlo simulations in MATLAB
Summary
The Internet of Things (IoT) has become an integral part of human life with various applications in industry, manufacturing, agriculture, healthcare, etc. A semi-blind algorithm is proposed for joint iterative SI cancellation and intended channel estimation in 5G QC-LDPC-encoded FD short-packet transmissions in the digital domain, by taking into account only a small number (four at least) of pilot symbols and the feedback of the estimate of the channel to achieve a nearly optimal performance and efficient use in practical scenarios. QC-LDPC-encoded short-packet FD transmissions; We characterise the out-performance of the system with the proposed algorithm compared to the conventional algorithm This semi-blind technique can significantly improve the performances of the MSE and BER, while requiring only the addition of a few pilot symbols for the channel estimation feedback processes; We point out that the time consumption and computational complexity of the proposed algorithm are lower than the conventional algorithm, which is suitable for IoT applications and green communications.
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