期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 22, 期 3, 页码 1730-1744出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2022.3206608
关键词
Decoding; Channel estimation; Signal processing algorithms; Coherence; Cellular networks; Wireless communication; Transceivers; Coherent and non-coherent decoding; detection; enhanced mobile broadband; grant-free; machine-type communication; sparse signal recovery
This study proposes a unified framework for the amicable coexistence of machine-type communication (MTC) and human-type communication (HTC) by introducing transceiver techniques to promote efficient signal recovery. Results show that harmonious coexistence of the heterogeneous services can be achieved with properly configured average signal-to-noise ratios and pilot length.
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC). However, MTC is characterized by unprecedented traffic in cellular networks, thus posing a challenge to its successful incorporation. In this work, we propose a unified framework for amicable coexistence of MTC and HTC. We consider a heterogeneous network where machine-type devices coexist with enhanced mobile broadband (eMBB) devices and propose transceiver techniques that promote efficient signal recovery from these devices. For this, we present an eMBB pilot and MTC data generation strategy that facilitates joint coherent decoding of eMBB data and non-coherent decoding of MTC data. Furthermore, we assess the feasibility of coexistence using receiver operating characteristics, outage probability, and normalized mean square error (NMSE). Our numerical results reveal that a harmonious coexistence of the heterogeneous services can be achieved with properly configured average signal-to-noise ratios and pilot length.
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