Autonomous Vehicle Engineering - July 2021 - 15

V2X
"
As more and more vehicles are fitted with radar systems, interference
is of growing concern.
"
it can safely use to sense the environment and limit
the interference.
The latter approach is distributed, whereby each
radar sensor follows the same transmission protocol,
which ensures fairness and a given performance.
The ALOHA protocol is the most straightforward
approach. In it, each unit transmits when it wants to,
which is basically what the current radar sensors do.
ALOHA simplicity
One of the first improvements of the ALOHA protocol in
communications is the slotted-ALOHA. If, for instance, a
collision of two transmitted signals occurs, it happens for
the entire transmission frame; there are no possible partial
overlaps of messages. This simple trick already doubles
the efficiency of the transmission in communications.
As compared to communications, radar sensors
do not need to communicate with each other to sense
the environment. One could, therefore, only standardize
the way they access the channel, leaving the full
freedom to deploy any radar waveform. For instance,
going back to the ALOHA and slotted-ALOHA
example, one could think of organizing the wireless
resources in time and frequency blocks; for example, 20
ms by 250 MHz. This technique would allow any radar
sensor to use an integer number of time/frequency
slots. The time synchronization could come from the
GPS signal, which is already available in the car.
If agreed by all parties, this simple measure could
allow more sensors to act in the same environment
while giving the industry the full freedom to differentiate
in terms of radar waveforms.
More complex and efficient multiple access
schemes could also be envisioned. For instance, a form
of sensing of the available time and frequency resources
and a mechanism of randomization in accessing the
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Autonomous Vehicle Engineering - July 2021

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Autonomous Vehicle Engineering - July 2021 - SPONSOR1
Autonomous Vehicle Engineering - July 2021 - CVR1
Autonomous Vehicle Engineering - July 2021 - CVR2
Autonomous Vehicle Engineering - July 2021 - 1
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Autonomous Vehicle Engineering - July 2021 - CVR3
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