Photonics Defined Radio
A New Paradigm for Future Mobile Communication of B5G/6G
Zong Baiqing
1
, Zhang Xiaohong
1
, Li Xiaotong
1
, Wang Jianli
1
and Zhang Senlin
2
1
R&D Center (Shanghai), ZTE Corporation, Zhangjiang High-Tech Park, Shanghai, China
2
Global Marketing and Solution, ZTE UK Ltd, London, U.K.
Keywords: Fibre Optics Links and Subsystems, Radio Frequency Photonics, Photonic Integrated Circuits, Coherent
Communications, Optical Signal Processing, Radio Access Network, Beyond 5G.
Abstract: Photonics defined radio, a new and possibly standardized paradigm, is proposed, converging integrated
coherent optics, integrated microwave photonics and photonic DSP, and expected to dominate the designs
of future communication and sensing systems. The applications of photonics defined radio are also
discussed in the next generation cloud-based radio access network (CloudRAN), sensing and
communication integrated system, as well as artificial intelligence radio.
1 INTRODUCTION
Optics and photonics have made many progresses in
the past years, especially in the areas of integrated
coherent optics, integrated microwave photonics,
optical frequency comb and photonic digital signal
processing.
In 2006, Infinera reported the first
commercially deployed and indium phosphide (InP)
based large-scale photonic integrated circuits (LS-
PICs) of coherent optics (Jacco Pleumeekers et al,
2006). This breakthrough brought optical coherent
transmission back. Nowadays, coherent optical
transmission follows the trend migrating from long
haul market into metro and access arena with main
applications in mobile fronthaul of 5G/B5G. To use
linear phase modulation (PM) and coherent
detection (CD), high linear RF photonic or coherent
radio over fibre (CRoF) links have extensively been
realized. In particular, to employ a novel attenuation
counter-propagating optical phase-locked loop
(ACP-OPLL) demodulator the ultra-high linear
CRoF links have been obtained, and to use a hybrid
integrated or a monolithically integrated ACP-
OPLL, 140dB/Hz
2/3
spurious free dynamic range
(SFDR) over 1GHz bandwidth has been expected (S.
Jin et al, 2014). As a result, CRoF shows a
promising potential to future true cloud-based
5G/B5G applications.
Integrated microwave photonics (IMWP) has
become the most active area of current research and
development in microwave photonics. Based upon
various material platforms such as indium phosphide
(InP), silicon on insulator (SOI), Si photonics and
silicon nitride (Si3N4), several particular
functionalities and sub-systems have be realized
(David Marpaung et al, 2014), including tunable
filtering, optoelectronic oscillation, true time delay,
frequency up and down conversion, etc. In the mode
of monolithic or hybrid photonic circuits, IMWP is
evolving towards the so-called application specific
photonic integrated circuits (ASPICs) where a
particular circuit and chip configuration are designed
to optimally perform a particular functionality.
Furthermore, a photonic system-on-chip (PSoC) is
being developed, such as EU HAMLET project
which is the joint development of a new kind of
photonic frontend for future 5G/B5G mobile
networks in the frequency range of 28GHz, and
using hybrid photonic integration technology to
interface seamlessly the optical fronthaul and radio
access of the remote antenna units (RAU)
(http://www.ict-hamlet.eu/).
Coherent light source with wider spectrum is
critical to IMWP, CRoF and photonic digital signal
processing (DSP). Optical frequency comb (OFC) is
a revolutionary advance in broadband coherent
source. However, the bulk OFCs based on existing
mode-locked lasers have limited applications in real-
world due to their size, weight, power and cost.
Electro-optic or parametric frequency combs such as
Kerr micro-combs have later evolved based upon
Baiqing, Z., Xiaohong, Z., Xiaotong, L., Jianli, W. and Senlin, Z.
Photonics Defined Radio - A New Paradigm for Future Mobile Communication of B5G/6G.
DOI: 10.5220/0006551501550159
In Proceedings of the 6th International Conference on Photonics, Optics and Laser Technology (PHOTOPTICS 2018), pages 155-159
ISBN: 978-989-758-286-8
Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
155
chip-compatible monolithic micro-resonators (J. E.
Bowers et al, 2016). Together with PIC, integrated
OFC provides the opportunity for applications in the
fields such as optical arbitrary waveform generation
(OAWG), microwave photonic signal processing,
optical DSP, dense wavelength division multiplexed
coherent transmission systems and future 5G/B5G
large-scale antenna systems in which an OFC-based
photonic frontend array will be an ideal option for
RF beam forming and steering.
To overcome the timing jitter and bandwidth
limitations of electrical ADC, photonic analog-to-
digital conversion (PADC) has been the subject of
extensive research in recent years (Thomas R. et al,
2015). Nowadays, in order to efficiently connect the
optical sampling module and eliminate the electrical
device limitation, it is essential to realize the all-
optical operation in both quantization and signal
processing. Extensive optical quantization and
photonic DSP schemes have been proposed. The
proposed photonic DSP is capable of performing
reconfigurable signal processing functions including
temporal integration, temporal differentiation and
Hilbert transformation (Weilin Liu et al, 2016). The
demonstration of photonic DSP also implies that the
chip-scale fully programmable all-optical DSP has
great potential for achieving a photonics defined
system.
In spite of above mentioned advances, the
applications of integrated optics and photonics in
radio systems are still too small and fragmentary. On
one hand, these technologies belong to different
disciplines and technological areas, as a result, there
are almost as many technologies as applications and,
due to this considerable fragmentation, the market
for many of these application-specific technologies
is too small to justify further development into low-
cost industrial mass-volume manufacturing
processes (Daniel Pérez et al, 2016). On the other
hand, MWP as a complementary method for
designing radio systems was proposed early several
decades ago, and was determined that it is difficult
to become a dominate paradigm for designing radio
systems. Moreover, at the present state MWP is
addressing lower volume market, hence lower
volume PIC productions. These are the aspects that
may force PIC technology players to take a different
approach to integrated MWP (Daniel Pérez et al,
2016). However, the next generation of radar
systems and B5G even 6G mobile networks, in
which the systems will be with higher carrier
frequencies for smaller antennas and broadened
bandwidth for increased resolution, need a new
paradigm and disruptive technology.
Integrated
Coherent
Optics
Integrated
CRoF
IMWP ASPIC/PSoC
OFC
Chip Scale
OFC
PADC
All Photonic
DSP
Photonics
Defined
Radio
Figure 1: Convergence and evolution of PDR.
Photonics Defined
Radio ( B5G/6G )
Software Defined
Radio (4G Era)
Digital Radio
( 2G Era)
Figure 2: Key enabling technologies via intergenerational
evolution of mobile networks.
In addition, standardization is an important
aspect for new technology introduction into the
market and support of a healthy ecosystem. To
overcome the above problems, in this paper, we
propose a new and possibly standardized paradigm
named photonics defined radio (also called
photonics-based radio or photonic radio),
converging integrated CRoF, IMWP and photonic
DSP, and expected to dominate the designs of future
radio and sensing systems. Referred to digital radio
for 2G and software defined radio for 4G, photonics
defined radio (PDR) will be the fundamental
enabling technology of B5G/6G. Inspired by large
scale RAN market, PDR will drive and promote
mass production and development of PIC. Fig.1 and
Fig.2 show the convergence and evolution of PDR,
the key enabling technologies via intergenerational
evolution of mobile networks, respectively.
PHOTOPTICS 2018 - 6th International Conference on Photonics, Optics and Laser Technology
156
2 THE CONCEPT AND
ARCHITECTURE OF
PHOTONICS-DEFINED RADIO
The key idea of PDR is to build an open,
standardized, modular radio system by analog and
digital photonic signal processing. PDR has also the
features of ultra-broadband spanning from
microwave to light, EM immunity and flexibility.
Fig.3 shows the function model of PDR. The
photonic frontend (PFE) with optional RF frontend
(RFE) performs the transmission, reception and
conversion of light or RF signal. The photonic
engine (PE) implements the signal generation and
processing in optical domain. The functions of
spectrum computing (SC) are that, they act as
electronic arbitrary waveform generation (eAWG),
symbol generation, electronic DSP and deep
cognitive radio engine. Configurations can be
programmed to offer the main functionalities
required for PDR by software and control module.
Fig.4 is the network architecture of next generation
CloudRAN based on PDR.
OFC
PFE
SC
PE
Software and
Control
Figure 3: The function model of PDR.
Spectrum Computing
Cloud
Photonic Engine
Cloud
MUX/WSS
PFE
PFE
PFE
PFE
RFE
Figure 4: The network architecture of NG CloudRAN
based on PDR.
3 THE APPLICATIONS OF
PHOTONICS-DEFINED RADIO
3.1 All Photonic, All Coherent and Full
Spectrum CloudRAN
Fig.5 is the building blocks of PE of PDR. In PE, the
interface between PE and PFE is transparent
coherent optical interface, and its Tbit-capacity is
high enough to support a true cloud-based RAN. On
the other hand, the signal processing in SC is
electrical coherent processing, so PDR is a
hierarchical coherent system in RF and optical
domains. Fig.6 shows an all photonic RAU or PFE
with multi-antennas. At the downlink, the optical
signals are forwarded to the integrated coherent
receivers (ICR), where they are detected and
processed. Due to high-power output of the uni-
traveling carrier photodetector (UTC-PD) (Zhanyu
Yang et al, 2015), arrays of UTC-PD convert the
optical signals to electrical signals that are directly
used to drive the array antenna elements. At the
uplink, the array antenna elements feed RF signals to
an array of graphne-based electro-absorption
modulators (GP-EAMs), in which RF signals are up-
converted to optical signals by optical IQ
modulation (IQM). At last, the optical signals are
multiplexed and sent to the optical network. Thus,
all photonic PFE and PE build an all photonic
CloudRAN. In addition, arrays of ICR and GP-EAM
can slice the RF and optical spectra in a very large
bandwidth, resulting in a full spectrum CloudRAN.
OFC
SC
Wavelength Bank
OFC
SC
ADC/DAC
OFC
PM/IQM
ICR/PADC
ADC/DAC Farm
PM/IQM Array
ICR/PADC Array
Figure 5: The building blocks of PE of PDR.
Photonics Defined Radio - A New Paradigm for Future Mobile Communication of B5G/6G
157
OPLL
To PE
From PE
Circulator
DEMUX
DEMUX
DEMUX
MUX
IQM
Antenna
ICR+UTC-PD
ICR+UTC-PD
ICR+UTC-PD
OFC
Figure 6: All photonic PFE or RAU with multi-antennas.
3.2 Radar, LiDAR and Communication
Integrated System
In Fig.6, if the antenna array is arranged as a hybrid
antenna array of RF and optical antennas, PFE can
be used as RF and optical wireless systems,
simultaneously. For RF wireless systems, Radar and
RF wireless communication are typical applications.
For optical wireless systems, LiDAR and coherent
free-space optical (FSO) communication are
practical applications. Spanning from RF to optical,
PDR can achieve a hyper-spectral integrated system
for sensing and communication applications.
3.3 Artificial Intelligence Radio -
RadioAI
A significant challenge for future cognitive radio
systems is to instantaneously analyze RF signals
over a extreme broadband to 100GHz or more, in
real time without any scanning in frequency, and
without any prior knowledge of the signals, carrier
frequency as well as modulation format (K. D.
Merkel et al, 2014). Due to the limited bandwidth
and less agile hardware platform, conventional
cognitive radio faces a big gap between flexible,
effectively building block and the deployment in
mobile networks. PDR provides extreme broadband
and even full spectrum capacity, so it will be an
ideal platform of future cognitive radio for B5G/6G.
In addition, recent advances in machine learning
(ML) have made possible significantly different
approaches in RF signal processing, spectrum
mining and RF mapping. Unfortunately radio signal
processing has been notably absent from much of
this recent work, but the potential for applications of
recent advances in machine learning to the radio
domain is enormous (Tim O’Shea and Nathan West,
2016). Combining PDR with machine learning, a
novel framework of future cognitive radio named
artificial intelligence radio - RadioAI (or
RadioML/RadioDL) will be a key paradigm and
enabler of B5G/6G. Extreme wideband of PDR
generates a great amount of data from spectrum
sensing, providing big and well curetted datasets to
allow ML to effectively train and learn with large
parameter spaces. Fig.7 shows the framework of
RadioAI based on PDR. A PDR is used as an
extreme broadband radio platform implemented with
open interface that can be programmed to transmit
and receive a variety of waveforms. A RadioAI
engine in spectrum computing cloud is composed of
a datasets, inference engine, and a learning engine.
A well-defined API dictates communication between
the RadioAI engine and the PE/PFE.
Inference
Learning
PFE/PE
RadioAI Engine
Datasets
PDR Hardware
Platform
Spectrum Computing Cloud
Figure 7: RadioAI framework based on PDR.
4 CONCLUSIONS
In summary, the applications of integrated optics
and photonics in radio systems are still too small and
fragmentary due to the fragmentation of disciplines
and technologies. And the next generation of radar
systems and B5G/6G mobile networks need a new
paradigm and disruptive technology. Therefore, we
propose the concept of photonics defined radio, a
new and possibly standardized paradigm,
converging integrated coherent optics, integrated
microwave photonics and photonic DSP, and
expected to dominate the designs of future
communication and sensing systems. The potential
applications of photonics defined radio are also
PHOTOPTICS 2018 - 6th International Conference on Photonics, Optics and Laser Technology
158
discussed, including next generation CloudRAN,
sensing and communication integrated system, as
well as artificial intelligence radio RadioAI.
REFERENCES
Jacco Pleumeekers, Richard Schneider, Atul Mathur,
Sheila K. Hurtt, Peter W. Evans, Andrew Dentai, C. H.
Joyner, Damien Lambert, Sanjeev Murthy, Ranjani
Muthiah, Johan Baeck, Mark Missey, Randal
Salvatore, Mehrdad Ziari, Masaki Kato,
Radhakrishnan Nagarajan, Fred Kish. (2006). Status
and Progress in InP Optoelectronic Processing:
Towards Higher Levels of Integration. In CS-
MANTECH06 Technical Digest, 115-118.
S. Jin, X. Xu, P. Herczfeld, A. Bhardwaj, Y. Li. (2014).
Recent progress in attenuation counter-propagating
optical phase-locked loops for high-dynamic-range
radio frequency photonic links. OSA/Photonics
Research, 2(4): B45-B53.
David Marpaung, Chris Roeloffzen, Rene Heideman, Arne
Leinse, Salvador Sales, Jose Capmany. (2014).
Integrated microwave photonics. Laser & Photonics
Reviews, May 5: 1-28.
ICT-HANLET Project, http://www.ict-hamlet.eu/.
J. E. Bowers, A. Beling, D. Blumenthal, A. Bluestone, S.
M. Bowers, T. C. Briles, L. Chang, S. A. Diddams, G.
Fish, H. Guo, T. J. Kippenberg, T. Komljenovic, E.
Norberg, S. Papp, M. H. P. Pfeiffer, K. Srinivasan, L.
Theogarajan, K. J. Vahala, N. Volet. (2016). Chip-
scale Optical Resonator Enabled Synthesizer. In IEEE
International Frequency Control Symposium
(IFCS2016).
Thomas R. Clark, Jean H. Kalkavage, Timothy P.
McKenna. (2015). Recent progress in photonic analog-
to-digital converters. IEEE Avionics and Vehicle
Fiber-Optics and Photonics Conference (AVFOP2015).
Weilin Liu, Ming Li, Robert S. Guzzon, Erik J. Norberg,
John S. Parker, Mingzhi Lu, Larry A. Coldren &
Jianping Yao. (2016). A fully reconfigurable photonic
integrated signal processor. Nature Photonics, 10:
190-195.
Daniel Pérez, Ivana Gasulla, José Capmany, Richard A.
Soref. (2016). Integrated Microwave Photonics: The
quest for the universal programmable processor. In
IEEE Photonics Society Summer Topical Meeting
Series (SUM2016).
Zhanyu Yang, Xiaojun Xie, Qinglong Li, Joe. C.
Campbell, Andreas Beling. (2015). 20 GHz analog
photonic link with 16 dB gain based on a high-power
balanced photodiode. In Photonics Conference
(IPC2015), 144145.
K. D. Merkel, S. H. Bekker, A. S. Traxinger, C. R.
Stiffler, A.J.Woidtke, M.D.Chase, Wm.R.Babbitt,
Z.W.Barber, C.H.Harrington. (2014). 20 GHz
Instantaneous Bandwidth RF Spectrum Analyzer
Measurements with High Sensitivity and Spur Free
Dynamic Range. In Proceedings of GOMACTech2014
Conference.
Tim O’Shea, Nathan West. (2016). Radio Machine
Learning Dataset Generation with GNU Radio. In
Proceedings of 6th GNU Radio Conference.
Photonics Defined Radio - A New Paradigm for Future Mobile Communication of B5G/6G
159