83 research outputs found
The Effect of Interpretable Artificial Intelligence on Repeated Managerial Decision-Making under Uncertainty
On the Feasibility of Integrating mmWave and IEEE 802.11p for V2V Communications
Recently, the millimeter wave (mmWave) band has been investigated as a means
to support the foreseen extreme data rate demands of emerging automotive
applications, which go beyond the capabilities of existing technologies for
vehicular communications. However, this potential is hindered by the severe
isotropic path loss and the harsh propagation of high-frequency channels.
Moreover, mmWave signals are typically directional, to benefit from beamforming
gain, and require frequent realignment of the beams to maintain connectivity.
These limitations are particularly challenging when considering
vehicle-to-vehicle (V2V) transmissions, because of the highly mobile nature of
the vehicular scenarios, and pose new challenges for proper vehicular
communication design. In this paper, we conduct simulations to compare the
performance of IEEE 802.11p and the mmWave technology to support V2V
networking, aiming at providing insights on how both technologies can
complement each other to meet the requirements of future automotive services.
The results show that mmWave-based strategies support ultra-high transmission
speeds, and IEEE 802.11p systems have the ability to guarantee reliable and
robust communications.Comment: 7 pages, 5 figures, 2 tables, accepted to the IEEE Connected and
Automated Vehicles Symposium (CAVS
Implementation and Performance Evaluation of Distributed Autonomous Multi-Hop Vehicle-to-Vehicle Communications over TV White Space
This paper presents design and experimental evaluation of a distributed autonomous multi-hop vehicle-to-vehicle (V2V) communication system over TV white space performed in Japan. We propose the two-layer control channel model, which consists of the Zone Aware Control Channel (ZACC) and the Swarm Aware Control Channel (SACC), to establish the multi-hop network. Several vehicles construct a swarm using location information shared through ZACC, and share route and channel information, and available white space information through SACC. To evaluate the system we carried out field experiments with swarm made of three vehicles in a convoy. The vehicles observe channel occupancy via energy detection and agree on the control and the data channels autonomously. For coarse synchronization of quiet periods for sensing we use GPS driven oscillators, and introduce a time margin to accommodate for remaining drift. When a primary user is detected in any of the borrowed channels, the vehicles switch to a vacant channel without disrupting the ongoing multi-hop communication. We present the experimental results in terms of the time to establish control channel, channel switching time, delivery ratio of control message exchange, and throughput. As a result, we showed that our implementation can provide efficient and stable multi-hop V2V communication by using dynamic spectrum access (DSA) techniques
V2X Communications for Maneuver Coordination in Connected Automated Driving: Message Generation Rules
Connected automated vehicles (CAVs) can use vehicle-to-everything (V2X) communications to exchange their driving intentions and coordinate their maneuvers. Message generation rules are necessary to decide when and how maneuver coordination messages (MCMs) should be generated. The design of these generation rules must consider the critical nature of maneuver coordination and the limited bandwidth available for V2X communications. This study proposes the first two sets of V2X message generation rules for maneuver coordination between CAVs. The Risk proposal increases the rate at which vehicles generate MCMs when vehicles detect a potential safety risk. With the Tracking Trajectories proposal, vehicles generate a new maneuver coordination message when they significantly modify their planned trajectory. For both proposals, the messages include the planned and possible desired trajectories of the ego vehicle. The evaluation shows that the proposed generation rules efficiently support maneuver coordination and offer a balance between more frequent updates of the driving intentions of CAVs and lower coordination time and better control of the V2X communications channel load. This study also reveals that congestion control protocols can significantly impact maneuver coordination
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