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0890-8044/19/$25.00 © 2019 IEEE
AbstrAct
The ongoing deployment of 5G cellular sys-
tems is continuously exposing the inherent lim-
itations of this system, compared to its original
premise as an enabler for Internet of Everything
applications. These 5G drawbacks are spurring
worldwide activities focused on defining the
next-generation 6G wireless system that can truly
integrate far-reaching applications ranging from
autonomous systems to extended reality. Despite
recent 6G initiatives (one example is the 6Genesis
project in Finland), the fundamental architectur-
al and performance components of 6G remain
largely undefined. In this article, we present a
holistic, forward-looking vision that defines the
tenets of a 6G system. We opine that 6G will
not be a mere exploration of more spectrum
at high-frequency bands, but it will rather be a
convergence of upcoming technological trends
driven by exciting, underlying services. In this
regard, we first identify the primary drivers of 6G
systems, in terms of applications and accompa-
nying technological trends. Then, we propose a
new set of service classes and expose their target
6G performance requirements. We then identify
the enabling technologies for the introduced 6G
services and outline a comprehensive research
agenda that leverages those technologies. We
conclude by providing concrete recommenda-
tions for the roadmap toward 6G. Ultimately, the
intent of this article is to serve as a basis for stim-
ulating more out-of-the-box research around 6G.
IntroductIon
To date, the wireless network evolution was pri-
marily driven by a need for higher rates, which
mandated a continuous 1000x increase in net-
work capacity. While this demand for wireless
capacity will continue to grow, the emergence of
the Internet of Everything (IoE) system, connect-
ing millions of people and billions of machines, is
yielding a radical paradigm shift from the rate-cen-
tric enhanced mobile broadband (eMBB) services
of yesteryears toward ultra-reliable, low latency
communications (URLLC).
Although the fifth generation (5G) cellular sys-
tem was marketed as the key IoE enabler, through
concerted 5G standardization efforts that led to
the first 5G new radio (5G NR) milestone and
subsequent 3GPP releases, the initial premise of
5G — as a true carrier of IoE services — is yet to be
realized. One can argue that the evolutionary part
of 5G (i.e., supporting rate-hungry eMBB services)
has gained significant momentum. However, the
promised revolutionary outlook of 5G, a system
operating almost exclusively at high-frequency
millimeter wave (mmWave) frequencies and
enabling heterogeneous IoE services, has thus far
remained a mirage. Although the 5G systems that
are currently being marketed will readily support
basic IoE and URLLC services (e.g., factory auto-
mation), it is debatable whether they can deliver
tomorrow’s smart city IoE applications. Moreover,
although 5G will eventually support fixed-access
at mmWave frequencies, it is more likely that early
5G roll-outs will still use sub-6 GHz for supporting
mobility.
Meanwhile, an unprecedented proliferation
of new IoE services is ongoing. Examples range
from extended reality (XR) services (encompass-
ing augmented, mixed, and virtual reality (AR/
MR/VR)) to telemedicine, haptics, flying vehicles,
brain-computer interfaces, and connected auton-
omous systems. These applications will disrupt
the original 5G goal of supporting short-packet,
sensing-based URLLC services. To successfully
operate IoE services such as XR and connected
autonomous systems, a wireless system must
simultaneously deliver high reliability, low latency,
and high data rates, for heterogeneous devices,
across uplink and downlink. Emerging IoE services
will also require an end-to-end co-design of com-
munication, control, and computing functional-
ities, which to date has been largely overlooked.
To cater to this new breed of services, unique
challenges must be addressed ranging from char-
acterizing the fundamental rate-reliability-latency
tradeoffs governing their performance to exploit-
ing frequencies beyond sub-6 GHz and trans-
forming wireless systems into a self-sustaining,
intelligent network fabric which flexibly provisions
and orchestrates communication-computing-con-
trol-localization-sensing resources tailored to the
requisite IoE scenario.
To overcome these challenges, a disruptive
sixth generation (6G) wireless system, whose
design is inherently tailored to the performance
requirements of IoE applications and their
accompanying technological trends, is need-
ed. The drivers of 6G will be a confluence of
past trends (e.g., densification, higher rates, and
massive antennas) and of emerging trends that
include new services and the recent revolution in
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research
Problems
Walid Saad, Mehdi Bennis, and Mingzhe Chen
ACCEPTED FROM OPEN CALL
Digital Object Identifier:
10.1109/MNET.001.1900287
Walid Saad is with Virginia Tech; Mehdi Bennis is with the University of Oulu;
Mingzhe Chen is with The Chinese University of Hong Kong, Shenzhen, Princeton University, and Virginia Tech.
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2
wireless devices (e.g., smart wearables, implants,
XR devices, and so on), artificial intelligence (AI)
[1], computing, and sensing.
The main contribution of this article is a bold,
forward-looking vision of 6G systems (Fig. 1) that
identifies the applications, trends, and disruptive
technologies, that will drive the 6G revolution.
This vision will then delineate new 6G services
and provide a concrete research roadmap and
recommendations to facilitate the leap from cur-
rent 5G systems toward 6G.
6G drIvInG ApplIcAtIons,
MetrIcs, And new servIce clAsses
Every new cellular generation is driven by inno-
vative applications. 6G is no exception: It will be
borne out of an unparalleled emergence of excit-
ing new applications and technological trends
that will shape its performance targets while rad-
ically redefining standard 5G services. Next, we
introduce the main applications that motivate 6G
deployment, and then discuss ensuing technolog-
ical trends, target performance metrics, and new
service requirements.
drIvInG ApplIcAtIons behInd 6G And theIr requIreMents
While traditional applications, such as live multi-
media streaming, will remain central to 6G, the
key determinants of the system performance will
be four new application domains.
Multisensory XR Applications: XR will yield
many killer applications for 6G across the AR/
MR/VR spectrum. Upcoming 5G systems still
fall short of providing a full immersive XR expe-
rience capturing all sensory inputs due to their
inability to deliver very low latencies for data-
rate intensive XR applications. A truly immersive
AR/MR/VR experience requires a joint design
integrating not only engineering (wireless, com-
puting, storage) requirements but also perceptu-
al requirements stemming from human senses,
cognition, and physiology. Minimal and maximal
perceptual requirements and limits must be fac-
tored into the engineering process (computing,
processing, and so on). To do so, a new concept
of quality-of-physical-experience (QoPE) measure
is needed to merge physical factors from the
human user itself with classical QoS (e.g., latency
and rate) and QoE (e.g., mean-opinion score)
inputs. Some factors that affect QoPE include
brain cognition, body physiology, and gestures.
As an example, in [2], we have shown that the
human brain may not be able to distinguish
between different latency measures, within the
URLLC regime. Meanwhile, in [3], we showed
that visual and haptic perceptions are key for
maximizing resource utilization. Concisely, the
requirements of XR services are a blend of tradi-
tional URLLC and eMBB with incorporated per-
ceptual factors that 6G must support.
Connected Robotics and Autonomous Sys-
tems (CRAS): A primary driver behind 6G systems
is the imminent deployment of CRAS including
drone-delivery systems, autonomous cars, autono-
mous drone swarms, vehicle platoons, and auton-
omous robotics. The introduction of CRAS over
the cellular domain is not a simple case of “yet
another short packet uplink IoE service.” Instead,
CRAS mandate control system-driven latency
requirements as well as the potential need for
eMBB transmissions of high definition (HD) maps.
The notion of QoPE applies once again for CRAS;
however, the physical environment is now a con-
FIGURE 1. 6G vision: applications, trends, and technologies.
Multisensory
XR
Applications
Connected robotics
and
Autonomous
Systems
Wireless Brain-
Computer
Interactions
Blockchain and
Distributed
Ledger
Technologies
More Bits,
Spectrum,
Reliability
From Areal to
Volumetric
Spectral and
Energy
Efficiency
Emergence of
Smart
Surfaces and
Environments
Massive
Availability
of Small
Data
From SON
to Self-
Sustaining
Networks
Convergence of
Communication,
Sensing, Control,
Localization, and
Computing
End of the
Smartphone
Era
Above 6 GHz
for 6G
Transceivers
with
Integrated
Frequency
Bands
Communicati
on with Large
Intelligent
Surfaces
Edge AI Integrated
Terrestrial,
Airborne, and
Satellite
Networks
Energy
Transfer and
Harvesting
Beyond 6G
6G: Enabling Technologies
6G: Driving Trends
6G: Driving Applications
bps/Hz/
Joules/m
3
Mobile
mmWave
and THz
band
!"
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IEEE Network • Accepted for Publication
3
trol system, potentially augmented with AI. CRAS
are perhaps a prime use case that requires strin-
gent requirements across the rate-reliability-laten-
cy spectrum, a balance that is not yet available
in 5G.
Wireless Brain-Computer Interactions (BCI):
Beyond XR, tailoring wireless systems to their
human users is mandatory to support services with
direct BCI. Traditionally, BCI applications were
limited to healthcare scenarios in which humans
can control prosthetic limbs or neighboring com-
puting devices using brain implants. However, the
recent advent of wireless brain-computer interfac-
es and implants will revolutionize this field and
introduce new use-case scenarios that require 6G
connectivity. Such scenarios range from enabling
brain-controlled movie input to fully-fledged multi-
brain-controlled cinema [4]. Using wireless BCI
technologies instead of smartphones, people will
interact with their environment and other people
using discrete devices, some worn, some implant-
ed, and some embedded in the world around
them. This will allow individuals to control their
environments through gestures and communicate
with loved ones through haptic messages. Such
empathic and haptic communications, coupled
with related ideas such as affective computing in
which emotion-driven devices can match their
functions to their user’s mood, constitute import-
ant 6G use cases. Wireless BCI services require
fundamentally different performance metrics com-
pared to what 5G delivers. Similar to XR, wireless
BCI services need high rates, ultra low latency,
and high reliability. However, they are much more
sensitive than XR to physical perceptions and
necessitate QoPE guarantees.
Blockchain and Distributed Ledger Technol-
ogies (DLT): Blockchains and DLT will be one
of the most disruptive IoE technologies. Block-
chain and DLT applications can be viewed as the
next-generation of distributed sensing services
whose need for connectivity will require a syner-
gistic mix of URLLC and massive machine type
communications (mMTC) to guarantee low-laten-
cy, reliable connectivity, and scalability.
6G: drIvInG trends And perforMAnce MetrIcs
The applications above lead to new system-wide
trends that will set the goals for 6G.
Trend 1 — More Bits, More spectrum, More
Reliability: Most of the driving applications of
6G require higher bit rates than 5G. To cater to
applications such as XR and BCI, 6G must deliver
yet another 1000x increase in data rates yield-
ing a target of around 1 Terabit/second. This
motivates a need for more spectrum resources,
hence prompting further exploration of frequen-
cies beyond sub-6 GHz. Meanwhile, the need for
higher reliability will be pervasive across most 6G
applications and will be more challenging to meet
at high frequencies.
Trend 2 — From Areal to Volumetric Spectral
and Energy Efficiency: 6G must deal with ground
and aerial users, encompassing smartphones and
XR/BCI devices along with flying vehicles. This 3D
nature of 6G requires an evolution toward a vol-
umetric rather than spatial (areal) bandwidth defi-
nition. We envision that 6G systems must deliver
high spectral and energy efficiency (SEE) require-
ments measured in bps/Hz/m
3
/Joules. This is a
natural evolution that started from 2G (bps) to 3G
(bps/Hz), then 4G (bps/Hz/m
2
) to 5G (bps/Hz/
m
2
/Joules).
Trend 3 — Emergence of Smart Surfaces and
Environments: Current and past cellular systems
used base stations (of different sizes and forms)
for transmission. We are witnessing a revolution
in electromagnetically active surfaces (e.g., using
metamaterials) that include man-made structures
such as walls, roads, and even entire buildings, as
exemplified by the Berkeley ewallpaper project
(https://bwrc.eecs.berkeley.edu/projects/5605/
ewallpaper). The use of such smart large intel-
ligent surfaces and environments for wireless
communications will drive the 6G architectural
evolution.
Trend 4 — Massive Availability of Small Data:
The data revolution will continue in the near
future and shift from centralized, big data, toward
massive, distributed “small” data. 6G systems
must harness both big and small datasets across
their infrastructure to enhance network functions
and provide new services. This trend motivates
new machine learning techniques that go beyond
classical big data analytics.
Trend 5 — From Self-Organizing Networks
(SON) to Self-Sustaining Networks: SON has
only been scarcely integrated into 4G/5G net-
works due to a lack of real-world need. However,
CRAS and DLT technologies motivate an imme-
diate need for intelligent SON to manage net-
work operations, resources, and optimization. 6G
will require a paradigm shift from classical SON,
whereby the network merely adapts its functions
to specific environment states, into a self-sustain-
ing network (SSN) that can maintain its key per-
formance indicators (KPIs), in perpetuity, under
highly dynamic and complex environments stem-
ming from the rich 6G application domains. SSNs
must be able to not only adapt their functions but
to also sustain their resource usage and manage-
ment (e.g., by harvesting energy and exploiting
spectrum) to autonomously maintain high, long-
term KPIs. SSN functions must leverage the recent
revolution in AI technologies to create AI-pow-
ered 6G SSNs.
Trend 6 — Convergence of Communications,
Computing, Control, Localization, and Sens-
ing (3CLS): The past five generations of cellu-
lar systems had one exclusive function: wireless
communications. However, 6G will disrupt this
premise through a convergence (i.e., joint and
simultaneous offering) of various functions that
include communications, computing [5], control,
localization, and sensing. We envision 6G as a
multi-purpose system that can deliver multiple
3CLS services that are particularly appealing and
even necessary for applications such as XR, CRAS,
and DLT where tracking, control, localization, and
computing are an inherent feature. Moreover,
sensing services will enable 6G systems to provide
XR will yield many killer applications for 6G across the AR/MR/VR spectrum. Upcoming 5G systems still
fall short of providing a full immersive XR experience capturing all sensory inputs due to their inability
to deliver very low latencies for data-rate intensive XR applications. A truly immersive AR/MR/VR
experience requires a joint design integrating not only engineering requirements but also perceptual
requirements stemming from human senses, cognition, and physiology.
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users with a 3D mapping of the radio environment
across different frequencies. Hence, 6G systems
must tightly integrate and manage 3CLS functions.
Note that the evolutions pertaining to previous
trends will gradually enable 6G systems to readily
provide 3CLS.
Trend 7 — End of the Smartphone Era: Smart-
phones were central to 4G and 5G. However,
in recent years there has been an increase in
wearable devices whose functionalities are grad-
ually replacing those of smartphones. This trend
is further fueled by applications such as XR and
BCI. The devices associated with those applica-
tions range from smart wearables to integrated
headsets and smart body implants that can take
direct sensory inputs from human senses, bringing
an end to smartphones and potentially driving a
majority of 6G use cases.
As shown in Table 1, collectively, these trends
impose new performance targets and require-
ments that will be met in two stages: a beyond 5G
evolution, and a revolutionary 6G step.
new 6G servIce clAsses
Beyond imposing new performance metrics, the
new technological trends will redefine 5G appli-
cation types by morphing classical URLLC, eMBB,
and mMTC and introducing new services (sum-
marized in Table 2):
Mobile Broadband Reliable Low Latency
Communication: As evident from above, the dis-
tinction between eMBB and URLLC will no lon-
ger be sustainable to support applications such as
XR, wireless BCI, or CRAS, because these appli-
cations require not only high reliability and low
latency, but also high 5G-eMBB-level data rates.
Hence, we propose a new service class called
mobile broadband reliable low latency communi-
cation (MBRLLC) that allows 6G systems to deliver
any required performance within the rate-reliabili-
ty-latency space. As seen in Fig. 2, MBRLLC gen-
eralizes classical URLLC and eMBB services.
Energy efficiency is central for MBRLLC, not only
because of its impact on reliability and rate, but
also because of the resource-limited nature of 6G
devices.
Massive URLLC: 5G URLLC meant meeting
reliability and latency of very specific uplink IoE
applications such as smart factories, for which
prior work [6] provided the needed fundamentals.
However, 6G must scale classical URLLC across
the device dimension, thereby leading to a new
massive URLLC (mURLLC) service that merges
5G URLLC with legacy mMTC. mURLLC brings
forth a reliability-latency-scalability trade-off which
mandates a major departure from average-based
network designs (e.g., average throughput/delay).
Instead, a principled and scalable framework that
accounts for delay, reliability, packet size, archi-
tecture, topology (across access, edge, and core)
and decision-making under uncertainty is neces-
sary [7].
TABLE 1. Requirements of 5G vs. Beyond 5G vs. 6G.
5G Beyond 5G 6G
Application types
• eMBB
•URLLC
•mMTC
• Reliable eMBB
•URLLC
•mMTC
•Hybrid (URLLC + eMBB)
New applications:
• MBRLLC
• mURLLC
• HCS
• MPS
Device types
• Smartphones
• Sensors
• Drones
• Smartphones
• Sensors
• Drones
•XR equipment
• Sensors and DLT devices
• CRAS
• XR and BCI equipment
• Smart implants.
Spectral and energy efficiency gains
1
with respect to today’s networks
10x in bps/Hz/m
2
/Joules 100x in bps/Hz/m
2
/Joules 1000x in bps/Hz/m
3
/Joules (volumetric)
Rate requirements 1 Gb/s 100 Gb/s 1 Tb/s
End-to-end delay requirements 5 ms 1 ms < 1 ms
Radio-only delay requirements 100 ns 100 ns 10 ns
Processing delay 100 ns 50 ns 10 ns
End-to-end reliability requirements 99.999 percent 99.9999 percent 99.99999 percent
Frequency bands
• Sub-6 GHz
• MmWave for fixed acces.
• Sub-6 GHz
• MmWave for fixed access
• Sub-6 GHz
• MmWave for mobile acces
• Exploration of higher frequency and THz bands (above 300 GHz)
• Non-RF (e.g., optical, VLC, etc.)
Architecture
• Dense sub-6 GHz small base
stations with umbrella macro
base stations.
• MmWave small cells of about
100 m (for fixed access).
• Denser sub-6 GHz small cells
with umbrella macro base
stations
• < 100 m tiny and dense
mmWave cells
• Cell-free smart surfaces at high frequency supported
by mmWave tiny cells for mobile and fixed access.
• Temporary hotspots served by drone-carried base
stations or tethered balloons
• Trials of tiny THz cells.
1
Here, spectral and energy efficiency gains are captured by the concept of area spectral and energy efficiency.
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Human-Centric Services: We propose a new
class of 6G services, dubbed human-centric ser-
vices (HCS), that require QoPE targets (tightly
coupled with their human users, as explained
above) rather than raw rate-reliability-latency met-
rics. Wireless BCI are a prime example of HCS in
which network performance is determined by the
physiology of the human users and their actions.
For such services, a whole new set of QoPE met-
rics must be defined and offered as a function of
raw QoS and QoE metrics.
Multi-Purpose 3CLS and Energy Services:
6G systems must jointly deliver 3CLS services
and their derivatives. They can also potentially
offer energy to small devices via wireless ener-
gy transfer. Such multi-purpose 3CLS and ener-
gy services (MPS) will be particularly important
for applications such as CRAS. MPS require joint
uplink-downlink designs and must meet target per-
formance for the control (e.g., stability), comput-
ing (e.g., computing latency), energy (e.g., target
energy to transfer), localization (e.g., localization
precision), and sensing and mapping functions
(e.g., accuracy of a mapped radio environment).
6G: enAblInG technoloGIes
To enable the aforementioned services and guar-
antee their performance, a cohort of new, disrup-
tive technologies must be integrated into 6G.
Above 6 GHz for 6G — from Small Cells to
Tiny Cells: As per Trends 1 and 2, the need for
higher data rates and SEE anywhere, anytime in
6G motivates exploring higher frequency bands
beyond sub-6 GHz. As a first step, this includes
further developing mmWave technologies to
make mobile mmWave a reality in early 6G sys-
tems. As 6G progresses, exploiting frequencies
beyond mmWave, at the terahertz (THz) band,
will become necessary [8]. To exploit higher
mmWave and THz frequencies, the size of the
6G cells must shrink from small cells to “tiny cells”
whose radius is only a few tens of meters. This
motivates new architectural designs that need
much denser deployments of tiny cells and new
high-frequency mobility management techniques.
Transceivers with Integrated Frequency
Bands: On their own, dense high-frequency tiny
cells may not be able to provide the seamless con-
nectivity required for mobile 6G services. Instead,
an integrated system that can leverage multiple
frequencies across the microwave/mmWave/THz
spectra (e.g., using multi-mode base stations) is
needed to provide seamless connectivity at both
wide and local area levels.
Communication with Large Intelligent Surfac-
es: Massive MIMO will be integral to both 5G and
6G due to the need for better SEE, higher data
rates, and higher frequencies (Trend 1). However,
for 6G systems, as per Trend 3, we envision an
initial leap from traditional massive MIMO toward
large intelligent surfaces (LISs) and smart environ-
ments [9] that can provide massive surfaces for
wireless communications and for heterogeneous
devices (Trend 7). LISs enable innovative ways
for communication such as by using holographic
radio frequency (RF) and holographic MIMO.
Edge AI: AI is witnessing an unprecedented
interest from the wireless community [1] driven
by recent breakthroughs in deep learning, the
increase in available data (Trend 4), and the rise
of smart devices (Trend 7). Imminent 6G use
cases for AI (particularly for reinforcement learn-
ing) revolve around creating SSNs (Trend 5) that
can autonomously sustain high KPIs and manage
resources, functions, and network control. AI will
also enable 6G to automatically provide MPS to
its users and to send and create 3D radio envi-
ronment maps (Trend 6). These short-term AI-en-
abled 6G functions will be complemented by a so
called “collective network intelligence” in which
network intelligence is pushed at the edge, run-
ning AI and learning algorithms on edge devices
(Trend 7) to provide distributed autonomy. This
new edge AI leap will create a 6G system that can
integrate the services above, realize 3CLS, and
potentially replace classical frame structures.
Integrated Terrestrial, Airborne, and Satel-
lite Networks: Beyond their inevitable role as 6G
users, drones can be leveraged to complement
terrestrial networks by providing connectivity to
hotspots and to areas with scarce infrastructure.
Meanwhile, both drones and terrestrial base sta-
tions may require satellite connectivity with low
orbit satellites (LEO) and CubeSats to provide
backhaul support and additional wide area cover-
age. Integrating terrestrial, airborne, and satellite
networks [10] and [11] into a single wireless sys-
tem will be essential for 6G.
Energy Transfer and Harvesting: 6G could
be the cellular system that can provide energy,
along with 3CLS (Trend 6). As wireless energy
transfer is maturing, we foresee 6G base stations
providing basic power transfer for devices, par-
ticularly implants and sensors (Trend 7). Adjunct
energy-centric ideas, such as energy harvesting
and backscatter, will also be a component of 6G.
Beyond 6G: A handful of technologies will
mature along the same time of 6G, and hence
potentially play a role toward the end of the
6G standardization and research process. One
prominent example is quantum computing and
TABLE 2. Summary of 6G service classes, their performance indicators, and
example applications.
Service Performance indicators Example applications
MBRLLC
• Stringent rate-reliability-latency
requirements
• Energy efficiency
• Rate-reliability-latency in mobile
environments
•XR/AR/VR
• Autonomous vehicular systems
• Autonomous drones
• Legacy eMBB and URLLC
mURLLC
• Ultra high reliability
• Massive connectivity
• Massive reliability
• Scalable URLLC
• Classical Internet of Things
• User tracking
• Blockchain and DLT
• Massive sensing
• Autonomous robotics
HCS
• QoPE capturing raw wireless metrics as
well as human and physical factors
• BC
• Haptics
• Empathic communication
• Affective communication
MPS
• Control stability
• Computing latency
• Localization accuracy
• Sensing and mapping accuracy
• Latency and reliability for communications
• Energy
• CRAS
• Telemedicine
• Environmental mapping and imaging
• Some special cases of XR services
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