High-Accuracy Radio Sensing in 5G New Radio Networks: Prospects and Self-Interference Challenge

The emerging 5G New Radio (NR) networks will provide large improvements in mobile radio access in terms of peak data rates, latency, reliability and network capacity. One of the new technical elements compared to LTE-based networks is the support for millimeter-wave (mmW) frequencies, facilitating carrier bandwidths up to 400 MHz at the currently specified operating bands between 24–40 GHz. Such large bandwidths enable highly-accurate time-based measurements and hence ranging. Thus, in time-division duplexing (TDD) based networks, base-stations and possibly also user equipment can pursue high-accuracy radio sensing by observing the transmit signal reflections, assuming that the direct transmitter-receiver leakage or self-interference can be sufficiently suppressed. In this article, we address, analyze and demonstrate the prospects of OFDM-waveform based radio sensing in 5G NR base-stations with particular emphasis on the mmW use cases. First, basic target range and velocity estimation resolution analysis is provided for different carrier bandwidths and observation time windows, showing that close to centimeter-level ranging accuracy can basically be obtained. Then, specific emphasis is put on the analysis and suppression of the direct self-interference when executing the receiver simultaneously to transmitting. Finally, concrete RF measurements at 28 GHz operating band are provided and analyzed comprising self-interference cancellation and radar processing solutions. The obtained results demonstrate that direct self-interference cancellation can be successfully carried out, and that targets can be accurately sensed and tracked.

[1]  Bryan Paul,et al.  Survey of RF Communications and Sensing Convergence Research , 2017, IEEE Access.

[2]  Xiaojing Huang,et al.  Multibeam for Joint Communication and Radar Sensing Using Steerable Analog Antenna Arrays , 2018, IEEE Transactions on Vehicular Technology.

[3]  Thomas Zwick,et al.  An OFDM System Concept for Joint Radar and Communications Operations , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[4]  Markku Kiviranta,et al.  5G Radar: Scenarios, Numerology and Simulations , 2019, 2019 International Conference on Military Communications and Information Systems (ICMCIS).

[5]  Lajos Hanzo,et al.  Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead , 2019, IEEE Transactions on Communications.

[6]  Risto Wichman,et al.  In-Band Full-Duplex Wireless: Challenges and Opportunities , 2013, IEEE Journal on Selected Areas in Communications.

[7]  André Bourdoux,et al.  An In-Band Full-Duplex Transceiver for Simultaneous Communication and Environmental Sensing , 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

[8]  Taneli Riihonen,et al.  Full-Duplex Transceiver System Calculations: Analysis of ADC and Linearity Challenges , 2014, IEEE Transactions on Wireless Communications.

[9]  Xiaojing Huang,et al.  Framework for a Perceptive Mobile Network Using Joint Communication and Radar Sensing , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[10]  Taneli Riihonen,et al.  Full-Duplex OFDM Radar With LTE and 5G NR Waveforms: Challenges, Solutions, and Measurements , 2019, IEEE Transactions on Microwave Theory and Techniques.

[11]  Robert W. Heath,et al.  IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System , 2017, IEEE Transactions on Vehicular Technology.

[12]  Yonghong Zeng,et al.  Joint Radar-Communication: Low Complexity Algorithm and Self-Interference Cancellation , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[13]  Klaus Martin Braun,et al.  OFDM Radar Algorithms in Mobile Communication Networks , 2014 .

[14]  Robert W. Heath,et al.  Sparsity-aware adaptive beamforming design for IEEE 802.11ad-based joint communication-radar , 2018, 2018 IEEE Radar Conference (RadarConf18).