2
HAPS would experience less path-loss and stronger line-of-
sight (LoS) links. The high quality of HAPS communication
links to the ground allows it to connect directly to the user
equipment (UE) without requiring a special receiver design.
This is in contrast to current LEO systems, where sophisticated
receivers with high antenna gain are required2. Also, due
to its low altitude, a HAPS is more appealing for delay-
sensitive and critical applications than a LEO satellite. Second,
HAPS systems are quasi-stationary either through fixed-wing
HAPS circular trajectories or airships loitering, whereas LEO
satellites orbit the Earth at high speeds. Thus, unlike HAPS,
satellites suffer from significant Doppler effects, frequent
handover, and wasted capacity, due to orbiting under-populated
areas. Moreover, given the continuous movements of LEO
satellites, a tracking system in current receivers is required.
Third, HAPS are giant platforms, e.g., aerostatic HAPS have
lengths between 100 and 200 m, and aerodynamic HAPS
have wingspans between 35 and 80 m. This is up to 20
times the size of a standard LEO satellite. Such HAPS sizes
allow to accommodate several communication technologies,
including massive MIMO and large RIS. Moreover, HAPS can
host heavier payloads, e.g., storage and computing equipment.
Finally, the lifetime of HAPS is estimated to be between a
few months and several years, depending on the nature of its
mission. Although this is lower than the LEO satellite 10-
year life, HAPS will be recoverable at the end of its lifetime.
Moreover, HAPS can be maintained either in the sky or by
bringing it back to Earth, which makes it possible to extend
its lifetime.
B. HAPS versus UAVs
UAVs can achieve reliable and low-latency communica-
tions with ground UEs over small distances of up to a few
hundred meters. In contrast, HAPS enjoys a wider footprint
radius ranging between 40 and 100 km for high throughput
communications, and this can be extended to 500 km (ITU-
R F.1500). To achieve an equivalent footprint to HAPS, the
deployment of costly UAV swarms is needed. Also, a better
LoS probability can be realized with HAPS, while UAV links
are sensitive to blockages and high-rise buildings. Given that
HAPS can be powered by renewable energy sources, e.g.,
solar panels, or hydrocarbon fuel (backed up by batteries
and fuel cells) [2], they can sustain longer missions than
the battery/hydrocarbon fuel-limited UAVs3. Finally, the small
size of UAVs limits their communication payload and potential
applications. For instance, authors of [6] showed that RIS-
equipped UAVs perform worse than RIS-equipped HAPS. For
the same reason, high storage and computation power cannot
be deployed on UAVs, in contrast to HAPS.
III. SINGLE-MODE HAPS COMMUNICATION PAYLOAD
A HAPS consists of three onboard subsystems: an energy
management subsystem, a flight subsystem, and a communi-
2Recently, satellite direct-to-device solutions are being tested and validated
with standard UE. However, until today, the only validated services are limited
to emergency messaging and localization.
3Note that the consumed energy by the communication payload is signifi-
cantly lower than that required by the flying system.
cation payload subsystem [2]. The energy management sub-
system is responsible for power generation using photovoltaic
(PV) panels and/or hydrocarbon fuel and for energy storage
through Lithium-ion batteries or fuel cells. Moreover, this
subsystem controls the energy consumption required by the
other subsystems. The flight subsystem controls the mobility
and stabilization of the HAPS, whereas the communication
payload subsystem mainly manages the communications be-
tween the HAPS and other aerial or terrestrial nodes, while
also processing and storing other required data. Based on the
capabilities of the HAPS in terms of communication, comput-
ing, and storage, its power requirements and applications may
vary. Typically, three types of HAPS communication payload
have been defined, namely HAPS-SMBS [4], HAPS-RS, and
HAPS-RIS [5]. The type of communication payload impacts
the potential applications supported, onboard consumed en-
ergy, and thus the flight duration of the HAPS. In what follows,
we discuss the properties and potential use cases of each
HAPS-equipped communication payload type.
A. HAPS-SMBS
The main role of the HAPS-SMBS communication payload
involves radio frequency (RF) filtering, frequency conversion,
and signal amplification. Its multiple antennas transceivers
can also encode/decode, precode, and modulate/demodulate
signals, as well as switch and route data. The communication
payload of the HAPS-SMBS used exclusively for communica-
tions is called a “regenerative payload” by the 3rd Generation
Partnership Project (3GPP) standards (TR 38.811), and it sup-
ports similar tasks to a ground base station or a Node B (gNB).
A HAPS-SMBS’s “regenerative payload” can fully process
signals and serve users directly, unlike other communication
payload types. When the communication payload of a HAPS-
SMBS integrates computation and caching capabilities, its
role can be extended beyond simple data transmission and
reception for users in rural and underserved areas. Indeed,
HAPS-SMBS can work in tandem with terrestrial networks
in dense urban areas to provide numerous applications and
novel services for 5G and beyond networks. We discuss some
unique HAPS-SMBS use cases below.
1) Increasing network capacity: To cope with the increas-
ing demands in metropolitan areas, network operators have
traditionally relied on densification with macro and small
gNBs. However, this might not be a cost-effective solution in
dynamic and highly mobile environments. In addition, small-
cell densification might not be sufficient to absorb the ever-
increasing traffic of connected devices. Moreover, the fixed
deployment of terrestrial networks is unable to handle unpre-
dictable congestion caused by temporary events. To tackle this
issue, a HAPS-SMBS can complement a terrestrial network by
providing wide coverage, continuous, and agile connectivity to
the terrestrial network’s cell-edge and high-traffic demanding
UEs.
2) Supporting aerial networks and aerial users: The de-
ployment of UAVs as BSs or relays is seen as a key enabler
of future networks, given the flexibility and mobility of UAVs.
However, their processing and computation powers are limited,