Concurrent Data Dissemination at Intersections in mmWave for Cooperative Perceptions

Cooperative perceptions for autonomous vehicles by sharing image sensor data enhance traffic security. For sharing a large amount of sensor data, millimeter-wave (mmWave) communication is expected to be an enabler of high-throughput communications because of its wide band width and its efficiency in spatial reuse. This paper proposes a concurrent scheduling for sensor data dissemination in mmWave vehicular networks at an intersection. The proposed algorithm improves the region covered by shared data in situations where dissemination time is limited and not all data are disseminated. Improvement is realized by prioritizing data to be forwarded considering the geographical information. The priority control enlarges the average of the area of covered region by 15% at maximum. Meanwhile, it is proved that when sufficient time is available for dissemination, the proposed algorithm guarantees that all vehicles can share their data with each other.

[1]  Koichi Yamazaki,et al.  A note on greedy algorithms for the maximum weighted independent set problem , 2003, Discret. Appl. Math..

[2]  Eylem Ekici,et al.  Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions , 2011, IEEE Communications Surveys & Tutorials.

[3]  Susumu Ishihara,et al.  Data Exchange Strategies for Aggregating Geographical Distribution of Demands for Location-Dependent Information Using Soft-State Sketches in VANETs , 2017, 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA).

[4]  Li Su,et al.  Blockage Robust and Efficient Scheduling for Directional mmWave WPANs , 2015, IEEE Transactions on Vehicular Technology.

[5]  Masahiro Morikura,et al.  Recurrent neural network-based received signal strength estimation using depth images for mmWave communications , 2018, 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[6]  Xuemin Shen,et al.  STDMA-based scheduling algorithm for concurrent transmissions in directional millimeter wave networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[7]  Lars Michael Kristensen,et al.  Specification and performance evaluation of two zone dissemination protocols for vehicular ad-hoc networks , 2006, 39th Annual Simulation Symposium (ANSS'06).

[8]  Fawzi Nashashibi,et al.  Multi-vehicle cooperative perception and augmented reality for driver assistance: A possibility to ‘see’ through front vehicle , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[9]  Lars Wischhof,et al.  Information dissemination in self-organizing intervehicle networks , 2005, IEEE Transactions on Intelligent Transportation Systems.

[10]  Ozan K. Tonguz,et al.  Routing in Sparse Vehicular Ad Hoc Wireless Networks , 2007, IEEE Journal on Selected Areas in Communications.

[11]  Robert W. Heath,et al.  Millimeter Wave Vehicular Communications: A Survey , 2016, Found. Trends Netw..

[12]  Joseph Kee-Yin Ng,et al.  Cooperative Data Scheduling in Hybrid Vehicular Ad Hoc Networks: VANET as a Software Defined Network , 2016, IEEE/ACM Transactions on Networking.

[13]  Emilio Frazzoli,et al.  Multivehicle Cooperative Driving Using Cooperative Perception: Design and Experimental Validation , 2015, IEEE Transactions on Intelligent Transportation Systems.

[14]  Koichi Ogawa,et al.  Path-Loss Prediction Models for Intervehicle Communication at 60 GHz , 2008, IEEE Transactions on Vehicular Technology.

[15]  Mehul Motani,et al.  Throughput Maximization for 60 GHz WPANs via Device Cooperation , 2014, IEEE Communications Letters.

[16]  Raghuraman Mudumbai,et al.  Interference Analysis for Highly Directional 60-GHz Mesh Networks: The Case for Rethinking Medium Access Control , 2011, IEEE/ACM Transactions on Networking.