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SparkLink: A short-range wireless communication protocol
with ultra-low latency and ultra-high reliability
Mingjin Gao,
1,2,
*Lei Wan,
3
Rujing Shen,
1,2,
*Yongqiang Gao,
3
Jian Wang,
3
Yonghui Li,
4
and Branka Vucetic
4
1
State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
2
University of Chinese Academy of Sciences, Beijing 100190, China
3
Huawei Technologies Co., Ltd., Shenzhen 518129, China
4
University of Sydney, Sydney, NSW 2006, Australia
*Correspondence: gaomingjin@ict.ac.cn (M.G.); shenrujing@ict.ac.cn (R.S.)
Received: October 20, 2022; Revised: January 20, 2023; Accepted: January 24, 2023; Published Online: January 31, 2023; https://doi.org/10.1016/j.xinn.2023.100386
ª2023 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Citation: Gao M., Wan L., Shen R., et al., (2023). SparkLink: A short-range wireless communication protocol with ultra-low latency and ultra-high reliability. The Innovation 4(2), 100386.
Dear Editor,
Short-range wireless communications have been widely used in our daily life, but
the pursuit of a better communication experience never stops, leading to the
more stringent requirements of emerging applications.
1
For example, remote
control applications such as telesurgery require a delay of less than 1 ms.
2
Indus-
trial closed-loop control applications such as automatic assembly lines have a
reliability requirement of at least 99.999%.
3
These stringent requirements open
up a new racetrack for the development of short-range wireless communication
protocols.
In this letter, we report a short-range wireless communication protocol,
SparkLink, with ultra-low latency and ultra-high reliability. The key technologies
of SparkLink and the corresponding typical applications in different scenarios,
including smart cars, intelligent manufacturing, smart terminals, and smart
homes, as shown in Figure 1, are introduced.
ULTRA-LOW LATENCY
To tackle the latency challenges faced by various applications, SparkLink has
chosen cyclic-prefix orthogonal frequency division multiplexing (CP-OFDM) wave-
form with an ultra-short frame structure and a flexible scheduling scheme of time-
domain resources, and has a variable transmission delay as low as 20.833 ms.
Ultra-short frame structure
To reduce the transmission latency, the length of each radio frame tends
to be short. However, the reduction of frame length is constrained by the
overhead symbols in each frame, especially in the time division duplex
(TDD) scheme adopted by SparkLink. To tackle this issue, SparkLink designs
a frame structure with 48 frames in one superframe, where each frame
shares overhead symbols in the superframe. As a result, the number of over-
head symbols in each frame is substantially reduced. The length of each
frame is 1/48 of the superframe length and is equal to 20.833 ms. To better
Figure 1. Typical applications of SparkLink in different scenarios, including smart cars, intelligent manufacturing, smart terminals, and smart homes
ll The Innovation 4(2): 100386, March 13, 2023 1
LETTER
illustrate the frame structure, we introduce the concept of grant (G) and ter-
minal (T) nodes. In SparkLink, a G node acts as a central transmitter and
receiver of wireless radio signals, manages and schedules the transmissions
of a group of T nodes. A T node transmits and receives signals according to
the scheduling of the G node. Each frame of SparkLink consists of G/T sym-
bols (information symbols carrying data transmitted from G/T nodes to T/G
nodes), an SG/ST symbol (a special G/T symbol as well as overhead sym-
bol), and GAPs (gaps between G and T symbols). Figure 2A shows an
example of the frame structure. Based on this novel frame structure,
SparkLink can achieve flexible latencies by selecting different transmission
periods for the information carrying packets, where the minimum latency
is 20.833 ms.
Flexible scheduling scheme of time-domain resource
To meet different low-latency requirements of various applications,
SparkLink exploits a flexible scheduling scheme of time-domain resources
that corresponds to different sizes of packets. The minimum scheduling units
for small and large packets are equal to the duration of one (20.833 ms) and 6
frames (125 ms), respectively. Based on the minimum scheduling units, the
transmission period can be determined. Specifically, the transmission period
of small packets is equal to the minimum scheduling unit. The transmission
period of large packets is a multiple of the minimum scheduling units, which
can be equal to 6, 12, .,48frames.Figure 2A depicts the example of the
scheduling scheme for small packets. The minimum duration between two
G symbols colored orange is the transmission period, which is one frame
(20.833 ms).
ULTRA-HIGH RELIABILITY
To meet the stringent reliability requirements of emerging applications,
SparkLink supports ultra-reliable wireless communications by adopting error-
correcting code schemes and hybrid automatic repeat-request (HARQ)
schemes.
Coding scheme
SparkLink adopts the Polar code to correct errors, which has been proven to
achieve the channel capability for large code lengths
4
and has a superb perfor-
mance when correcting random errors. To enhance the error-correcting perfor-
Figure 2. Key technologies of SparkLink to achieve
ultra-low latency and ultra-high reliability (A) An
example of superframe, where the scheduling
scheme of time-domain resource for small packets
are adopted. (B) Reliability performance of Polar
(SparkLink, 1,024 bits code length) and LDPC (Wi-Fi 6,
1,296 bits code length) under AWGN, where block size
is 1,296 bits and code rate is 0.8.
mance of traditional Polar codes, SparkLink
adopts cyclic redundancy check (CRC)-assisted
Polar codes with successive-cancellation list
(SCL) decoders, where CRC can help SCL de-
coders to select the most likely decoding path.
Figure 2B compares the reliability perfor-
mance of codes used in SparkLink and Wi-Fi 6,
where low-density parity check (LDPC) codes
are used in Wi-Fi 6. With the same code rate, Po-
lar codes with CRC-assisted SCL decoding algo-
rithms always outperform LDPC codes with log
likelihood ratio-based belief propagation (LLR-
BP) decoding algorithms.
Retransmission scheme
Although the SparkLink coding scheme can
reduce error rate by a large margin, errors still
occur due to time variability of channels, multi-
path effect, and other unpredictable interfer-
ences. To confront this issue, HARQ is deployed
in SparkLink to improve the reliability while decreasing the number of
retransmissions.
In traditional ARQ schemes, if transmission errors occur, the receiver aban-
dons packets with errors and requests a retransmission from the transmitter.
Note that the ARQ scheme may waste useful information in the original transmis-
sion. To reuse the information, HARQ combines the information of packets in the
original transmission and the retransmission and acquires channel gains from
the combination. As a result, SparkLink with HARQ has a significant reliability per-
formance gap to the ARQ scheme. Specifically, when the number of retransmis-
sions is 3, SparkLink with HARQ obtains a 7 dB gain compared with the ARQ
scheme, and the gain increases as the number of retransmissions increases.
1
TYPICAL SCENARIOS AND APPLICATIONS OF SparkLink
With the outstanding performance in terms of latency and reliability, the
SparkLink protocol can be applied in numerous applications. In the following sec-
tion, we introduce the typical applications supported by SparkLink in four sce-
narios, namely smart cars, intelligent manufacturing, smart terminals, and smart
homes.
SparkLink in smart cars
Replacing wired communications by wireless communications is an important
trend in smart cars. Currently, most in-car communication protocols depend on
thewiringharness,suchasCAN,FlexRay,andMOST.
5,6
It is noted that the wiring
harness is the third heaviest component in a car and comprises 50% of the labor
cost for the entire car.
5
Considering the necessity of replacement and the require-
ment of latency and reliability in smart cars,
7
SparkLink aims at not only replacing
wired communications but also achieving performance in terms of latency and
reliability comparable to wired communications. A typical example is active noise
canceling (ANC), which can be used to neutralize background noise and make
drivers concentrate on driving. ANC has an end-to-end transmission delay require-
ment of around 20 ms, which can be facilitated by SparkLink.
1
Currently, SparkLink
has also demonstrated the advantage in a number of in-car applications, including
battery management systems (BMSs) and in-vehicle infotainment (IVI).
1
SparkLink in intelligent manufacturing
Driven by industrial transformation and upgrading, intelligent
manufacturing is in urgent need that has applications with strict latency
LETTER
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www.the-innovation.org
and reliability requirements and offers SparkLink a great opportunity. For
example, to conduct real-time and accurate control in the industrial
closed-loop system, SparkLink can meet the latency requirement within
the ms level and a reliability requirement of 99.999%.
8
Another example
is the automated guided vehicle (AGV), which is mainly used to transport
goods in warehouses. SparkLink maintains a radio link in a low-latency
(less than 20 ms) and reliable (99.9%) way to prevent accidents and dam-
ages of the goods. With the help of SparkLink, not only the strict require-
ments of applications but also the flexible deployment requirements of
machineries can be fulfilledinthefield of intelligent manufacturing.
SparkLink in smart terminals
Smart terminals such as phones, watches, bracelets, earphones, and tablets
are gaining ubiquity in our daily life. Seamless collaboration between these termi-
nals is critical to the user experience, which puts forward high requests to short-
range wireless communications. For example, for the ultimate audio experience,
the lossless audio transmission between a phone and earphones is required.
SparkLink can transmit the 96 kHz 324 bits lossless audio within 10 ms and
can ensure the time synchronization between the left and the right earphones
within the ms level. For the ultimate gaming experience, multi-player mobile
games require real-time interactions between multiple mobile terminals.
SparkLink can meet the end-to-end latency requirement of less than 100 ms
and can ensure a jitter of the mobile game less than 2 ms. Besides the applica-
tions with stringent requirements, SparkLink can also serve traditional applica-
tions, such as multi-screen collaboration.
SparkLink in smart homes
In smart homes, households are usually interconnected by current short-range
wireless communications such as ZigBee, Wi-Fi, and Bluetooth.
9
Households
such as door locks, televisions, and lights can be controlled remotely by the
homeowner. However, the emerging demands for the ultimate experience in
smart homes create many applications with stringent requirements for latency
and reliability. For example, 8K videos, the current highest resolution available
for commercial-grade videos, will power the home theater to deliver astounding
entertainment experiences. To avoid a blurry screen and getting stuck playing the
8K video, SparkLink ensures high speed transmission with reliability of 99.999%
and an end-to-end transmission delay of less than 10 ms.
10
Besides the applica-
tions with stringent requirements, traditional applications in smart homes can
still be supported by SparkLink, such as visual doorbells and automatic lighting
control.
CONCLUSION
This paper reports a novel short-range wireless communication protocol
SparkLink with ultra-low latency and ultra-high reliability. Enabled by a flexible
frame structure, SparkLink has a variable transmission delay starting as low as
20.833 ms. Moreover, by adopting Polar codes and HARQ schemes, SparkLink
can support innovative applications with a reliability requirement of 99.999%.
Due to the outstanding performance in terms of latency and reliability,
SparkLink can support lots of typical applications in a variety of scenarios,
including smart cars, intelligent manufacturing, smart terminals, and smart
homes. To offer ultimate service experience, the evolution of SparkLink is still
challenging. In the upcoming versions, SparkLink will include extended features,
such as mesh networking and high-accuracy positioning. We expect to see more
exciting progress of SparkLink in the near future.
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ACKNOWLEDGMENTS
This workis supported in partby Youth InnovationPromotion Association,Chinese Acad-
emy of Sciences, in part by Beijing Municipal Science & Technology Program under grant
Z221100007722014, and in part by Zhejiang Key Research Program under grant
2021C01040.
DECLARATION OF INTERESTS
The authors declare no competing interests.
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