New Radio Numerology and Waveform Evaluation for Satellite Integration into 5G Terrestrial Network
Autor: | Arunprakash Jayaprakash, Adegbenga B. Awoseyila, Pei Xiao, Barry G. Evans, Yingnan Zhang |
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Rok vydání: | 2020 |
Předmět: |
Orthogonal frequency-division multiplexing
Computer science 05 social sciences Bandwidth (signal processing) 050801 communication & media studies symbols.namesake 0508 media and communications Additive white Gaussian noise Low earth orbit Link budget Carrier frequency offset 0502 economics and business Phase noise symbols Electronic engineering Waveform 050211 marketing Satellite Multipath propagation |
Zdroj: | ICC |
DOI: | 10.1109/icc40277.2020.9149274 |
Popis: | This paper analyses the New Radio (NR) air interface waveforms and numerologies in the context of current activities and studies of 3GPP related to the feasibility and standardisation of necessary adaptations for the 5G NR to support integrated-satellite-terrestrial networks with low earth orbit (LEO) satellites. Frequency-localized orthogonal frequency division multiplexing (OFDM)-based candidate waveforms are recommended by 3GPP as the waveforms for the NR in order to preserve the advantages of OFDM as well as maintain backward compatibility. 5G New Radio enables diverse service support, efficient synchronization and channel adaptability using a multinumerology concept, which defines a family of parameters of the parent waveform, that are related to each other by scaling. The major design challenges in the LEO satellite scenario are power limited link budget and high Doppler effects which can be addressed by choosing waveforms with small peak to average power ratio (PAPR) and sub-carrier bandwidth adaptation respectively. Hence, the selection of the right waveform and numerology is of prime relevance for the proper adaptation of 5G NR for LEO satellite terrestrial integration. The performance evaluation of the new air interface waveforms, with different numerologies, are carried out under the effect of carrier frequency offset (CFO), multipath effects, non-linearity, phase noise and additive white Gaussian noise (AWGN). |
Databáze: | OpenAIRE |
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