Switching mode allocation in planning paths for vehicular network communication
(2023) 2023:99
Lu J Wireless Com Network
https://doi.org/10.1186/s13638-023-02312-w
RESEARCH
EURASIP Journal on Wireless
Communications and Networking
Open Access
Switching mode allocation in planning paths
for vehicular network communication
Dingzhu Lu1*
*Correspondence:
1
School of Artificial
Intelligence, The Open
University of Guangdong,
Guangzhou 51009, Guangdong,
China
Abstract
Because of the increased mobility of vehicle users, it might be difficult to keep communication services in vehicle networks effective and dependable. Huge hurdles have
been presented to vehicular networks as a result of the meteoric rise in the amount
of data, which comes with the needs of high dependability and low latency. The
deployment of access point servers at geographic locations that are closer to the vehicles in order to provide real-time service to applications that are based on the vehicles is one possible option. However, there is a limited amount of cache store space,
and there is also a lack of a tractable access mode allocation method. As a result
of these factors, it is very difficult to strike a compromise between the network
transmission performance and fronthaul savings. Because the signal-to-interferenceratio (SIR) can be enhanced with switching mode in vehicular infrastructure, it may
be possible to achieve higher levels of dependability. To serve all of the vehicles,
the conventional allocation in vehicular network may not be sufficient on its own
for two reasons: (1) the number of vehicles exceeds the number of paths, and (2)
a vehicle may be located outside of the coverage path. Therefore, the implementation
of switching mode allocation in vehicular communication is very necessary in order
to increase the number of vehicles that can be supplied. In this paper, allocation using
V2I, V2V, and V2X modes have been analyzed to provide dependable coverage for vehicles. These methods are used for communicating with other vehicles. In this paper,
the numerical analysis has been performed such that SIR is optimized. In switching
mode allocation, it has been shown that establishing a variable SIR threshold is helpful
in achieving a path coverage that can be relied upon. It has been shown beyond a reasonable doubt that the coverage probability is likewise directly dependent on SIR
thresholds. The theoretical analysis is verified, and it is confirmed that the suggested
method is capable of achieving significant performance improvement in terms of coverage probability and data rate.
Keywords: Coverage probability, SIR, Data rate, Vehicular communication, Path loss,
Access points, SIR threshold
1 Introduction
Millimeter-wave (mm-Wave) multiple-input–multiple-output (MIMO) is a technology that has the potential to enable considerable and reliable communication in Intelligent Transportation Systems (ITS) [1]. It is also a way that shows promise. Mm-Wave
MIMO is already playing a key role in the Intelligent Transportation System (ITS), which
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Lu J Wireless Com Network
(2023) 2023:99
provides new applications and services to people who use vehicles through the medium
of communication between vehicles and infrastructure [2]. ITS gives these new applications and services to people who use vehicles because it allows for communication
between vehicles and infrastructure. When doing research on vehicle-to-everything
(V2X) communication [3] the vast majority of writers have concentrated their efforts primarily on increasing the system’s capacity and sum-rate [4–6]. [3] This is due to the fact
that the efficacy of the system can be immediately measured by using these two measures. Nevertheless, establishing dependable communication in V2X is very important,
particularly for applications as essential as the sending of safety messages. The authors of
[4] made the assumption that every vehicle participating in a mm-Wave analogue beamforming system has flawless channel state information (CSI) in order to satisfy quality
of service (QoS) criteria. This action was taken in order to fulfill the prerequisite conditions. When applied to moving vehicles, however, this assumption is shown to be too
optimistic, which leads to channels that are either quasi-static or dynamic and have
defective CSI. This is the effect of channels having imperfect CSI. In addition to that, the
interference that develops between the several beams was not taken into consideration.
In an ideal situation, the authors of the research [5] devised a beam-frequency algorithm
with the purpose of enhancing throughput by reserving a certain location for the vehicles. This was done in order to increase throughput at the intersection. This is a theory
that one may consider to be utopian in nature. In addition to this, both [4, 5] operate
on the premise that the obtained SIR ought to be greater than a certain threshold. It is
essential that you keep this in mind since it is an important aspect. Nevertheless, attaining these threshold SIR values based on the needs of vehicle to infrastructure (V2I) communications are in no way simple or self-evident in any manner. These criteria are often
the provision of information within a certain period of time and with a predetermined
degree of dependability. It is not immediately clear how these threshold SIR levels might
possibly be acquired under these circumstances. It has been shown that packets consisting of 1600 bytes may be received within 5 ms and have a dependability of 99.999%
in order to give traffic safety applications [6]. In addition, it has been proven that these
packets can have a dependability of 99.999%. This has been shown to be the case in a
particular instance.
In this piece of research, we propose the notion of a technique for switching mode
allocation that makes use of V2I, vehicle to vehicle (V2V), and V2X modes of communication in conjunction with one another. This approach would allow for a greater degree
of flexibility in the way that switching modes are implemented. We were able to meet the
vehicles’ requirements for quality of service and adaptively improve the coverage probability by taking into co (...truncated)