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Our journal welcomes not only original high-quality papers covering the theoretical, experimental and operational aspects of electrical and electronics engineering in mobile radio, motor vehicles and land transportation, but also industry-focused publication focusing on research findings and suggesting ideas that may be useful to those conducting similar research.
This month, we highlight two featured articles: one co-authored by industry researchers at Honda Research Institute USA, Inc. and academic researchers at University of California, San Diego, presenting a novel collaborative perception framework to improve vehicular perception performance; and another from the Indian Institute of Technology and University of Southampton on the design of an enhanced hard-decision decoder for improving system performance.
We’ve provided short summaries of these feature articles, written in accessible language that we hope will make your reading experience enjoyable.
Real-Time Heterogeneous Collaborative Perception in Edge-Enabled Vehicular Environments
Samuel Thornton, Nithin Santhanam, Rajeev Chhajer, and Sujit Dey
Full article: IEEE Open Journal of Vehicular Technology, Volume 6
Summary by Samuel Thornton: The amount of computing and sensing available on vehicles is increasing, but perfect environmental perception is unachievable from a single vehicle due to sensor range limitations as well as situational hazards such as bad weather or occlusions that affect the sensor’s ability to accurately perceive the vehicle’s surroundings. Collaborative perception circumvents these issues by utilizing sensor data from surrounding vehicles to help fill in the gaps of what may be missed by an individual’s vehicles sensors.
The emergence of edge computing provides an avenue to facilitate the associated exchange of data, but there are still many challenges in implementing collaborative perception systems due to the highly dynamic nature of vehicular environments and heterogeneity of sensing and computing levels on vehicles.
In this paper, we propose a heterogeneous adaptive collaborative perception framework to maximize the overall perception accuracy while maintaining real-time performance latency. To accomplish this, our proposed framework intelligently selects the optimal end-to-end perception latency, decides which vehicles should transmit data to the edge, the specific individual and collaborative vehicular perception tasks, and the amount of computational offloading that should be utilized given information about the current state of the vehicles as well as the wireless networking conditions.
A Low-Complexity Diversity-Preserving Universal Bit-Flipping Enhanced Hard Decision Decoder for Arbitrary Linear Codes
Praveen Sai Bere, Mohammed Zafar Ali Khan, and Lajos Hanzo
Full article: IEEE Open Journal of Vehicular Technology, Volume 5
Summary by Lajos Hanzo: The overall performance of communication systems critically hinges both on the reliability and delay of the associated control messages required for setting up and maintaining a wireless call in the face of hostile propagation conditions. However, these control messages tend to be short, yet they must be protected by strong forward error correction codes. But the engineering reality is that strong, near-capacity codes require a long codeword and a high-complexity decoder.
Given the above challenges, we set out to design powerful yet low-complexity decoding algorithms eminently suitable for the transmission of short messages over hostile fading wireless channel, which attain high reliability and low latency - despite dispensing with high-complexity soft-decision decoding. As a further benefit, these potent so-called universal bit-flipping decoders are suitable for the entire family of linear codes.
Hence they are eminently suitable for popular applications such as V2X (Vehicle-to-everything), IoT (Internet of Things), mMTC (Massive Machine type Communications), URLLC (Ultra-Reliable Low Latency Communications) and WBAN (Wireless Body Area Networks), just to name a few. The rich simulation results provided for various known codes and decoding algorithms validate the performance versus complexity benefits of the proposed decoder.
About the IEEE Open Journal of Vehicular Technology (OJVT)
The IEEE OJVT covers the theoretical, experimental and operational aspects of electrical and electronics engineering in mobile radio, motor vehicles and land transportation. A brief summary of these fields of interest are as follows:
- Mobile radio shall include all terrestrial mobile services
- Motor vehicles shall include the components and systems and motive power for propulsion and auxiliary functions
- Land transportation shall include the components and systems used in both automated and non-automated facets of ground transport technology
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