Abstract

Cooperative Intelligent Transport Systems (C-ITS) are essential for increasing road safety and to make road transport more efficient, sustainable, and environmentally friendly. The implementation of C-ITS technology is only possible through the connectivity of Vehicle-to-Everything (V2X), which allows the interconnection of vehicles in a network and with road support infrastructure. However, real-time systems require efficient signal processing in order to respond within the necessary time. Some of this processing is related to searching the Physical Sidelink Control Channel (PSCCH), where a blind algorithm is commonly used. However, this algorithm is quite inefficient to searching the PSCCH, since all the processing should be completed several times before successful decoding it. Therefore, the aim of this paper is to design a more efficient algorithm to search/decode the PSCCH. In the proposed algorithm, we firstly compute all the correlations between the received signal and the Demodulation Reference Signal (DMRS), and the remaining conventional processing to decode the PSCCH is only performed over the subchannels with higher correlation, which leads to a strong complexity reduction. The proposed algorithm is evaluated and compared with the conventional blind algorithm. The results have shown a significant performance improvement in terms of runtime.

Highlights

  • Vehicle networks are seen as a key enabler for connected and autonomous driving, but have been limited to increase the safety of road users and improve the traffic efficiency of roads [1]

  • We developed an effective Physical Sidelink Control Channel (PSCCH) searching algorithm for 5G-New Radio (NR) V2X

  • We firstly computed all the correlations between the received signal and the PSCCH Demodulation Reference Signal (DMRS), and the remaining conventional processing to decode the PSCCH was only performed over the subchannels with higher correlation

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Summary

Introduction

Vehicle networks are seen as a key enabler for connected and autonomous driving, but have been limited to increase the safety of road users and improve the traffic efficiency of roads [1]. The. 5G-NR V2X will not replace its Long-Term Evolution (LTE) version, i.e., the cellular V2X (C-V2X), but they might coexist, giving support to the use cases that cannot be supported by C-V2X [3]. 5G-NR V2X will not replace its Long-Term Evolution (LTE) version, i.e., the cellular V2X (C-V2X), but they might coexist, giving support to the use cases that cannot be supported by C-V2X [3] The requirements for both periodic and aperiodic traffics, as well as the half-duplex and the hidden node problem, are the main aspects for 5G-NR V2X physical layer design [4]. One of the main new features of 5G-NR V2X physical layer is to support the different subcarrier spacing associated to different frequency range, which enables robustness against Doppler [5].

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