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Journal Article Self-Interference Cancellation in Time-Domain for DOCSIS 3.1 Uplink System With Full Duplex
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Baek Myung-Sun, Song Jin Hyuk, Kwon O Hyung, Jung Joon Young
Issue Date
IEEE Transactions on Broadcasting, v.65 no.4, pp.695-701
Project Code
18HR2500, Development of Inband Full Duplex Transceiving Technology in Cable TV networks for Multi-giga Service , Jung Joon Young
This paper introduces a self-interference cancellation (SIC) technique for data over cable service interface specification (DOCSIS) 3.1 uplink system with full duplex. At DOCSIS 3.1 uplink environment with full duplex, cable modems (CMs) transmit their request information (upstream) to CM termination system (CMTS), and CMTS transmits its broadcasting data (downstream) through the same frequency band at the same time. Therefore, the upstream becomes a signal of interest (SoI), and consequently the high-power feedback downstream causes self-interference (SI) signal against SoI. However, under the practical DOCSIS 3.1 uplink environment, achieving time and frequency synchronization between upstream and downstream is a challenging problem and additional signal processing technique should be applied. Therefore, in order to improve the processing efficiency and to reflect practical communication environment, the time-domain SIC technique, which does not require any synchronization between upstream and downstream is proposed. Furthermore, since the proposed scheme can consider various practical signal processing aspects, such as multi-path fading channel estimation and nonlinear element estimation of SI signal, it can be efficiently applied for the practical DOCSIS 3.1 uplink system. Test results indicate that the uplink system with 1024QAM (mandatory maximum constellation) can be operated in the case that there is SI estimation interval with two OFDM symbols.
KSP Keywords
Channel estimation(CE), Communication Environment, DOCSIS 3.1, Fading channel estimation, Full-Duplex(FuDu), High power, Multi-path, Processing technique, Self-Interference Cancellation, Service Interface, Signal Processing