TR2019-135

Distributed Cyclic Delay Diversity for Cooperative Infrastructure-to-Vehicle Systems


    •  Kim, K.J., Guo, J., Tang, J., Orlik, P.V., "Distributed Cyclic Delay Diversity for Cooperative Infrastructure-to-Vehicle Systems", IEEE Global Communications Conference (GLOBECOM), December 2019, pp. 1-6.
      BibTeX TR2019-135 PDF
      • @inproceedings{Kim2019dec,
      • author = {Kim, Kyeong Jin and Guo, Jianlin and Tang, Jinchuan and Orlik, Philip V.},
      • title = {Distributed Cyclic Delay Diversity for Cooperative Infrastructure-to-Vehicle Systems},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • pages = {1--6},
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-135}
      • }
  • MERL Contacts:
  • Research Areas:

    Communications, Signal Processing

Abstract:

In this paper, a distributed cyclic delay diversity (dCDD) is proposed to the cooperative infrastructure-to-vehicle (I2V) system comprising one road side unit (RSU). At a particular time, to connect a RSU and a target vehicle outside each other’s transmission range, a multiple number of vehicles located within the transmission ranges of both the RSU and the target vehicle are configured to operate as the dCDD based decode-and-forward (DF) cooperative relays. By using dCDD in the I2V system, the transmission range of the RSU is extended without the need of full channel state information of the vehicles at the RSU, and the transmit diversity gain can also be achieved. For this new preliminary setting of the I2V system, we conduct performance analysis. The simulations are conducted to verify the outage probability. The asymptotic outage diversity gain is also investigated and justified by the link level simulations.

 

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      Date: December 9, 2019 - December 13, 2019
      Where: Waikoloa, Hawaii, USA
      MERL Contacts: Jianlin Guo; Toshiaki Koike-Akino; Philip V. Orlik; Pu (Perry) Wang
      Research Areas: Communications, Computer Vision, Machine Learning, Signal Processing, Information Security
      Brief
      • MERL Signal Processing scientists and collaborators will be presenting 11 papers at the IEEE Global Communications Conference (GLOBECOM) 2019, which is being held in Waikoloa, Hawaii from December 9-13, 2019. Topics to be presented include recent advances in power amplifier, MIMO algorithms, WiFi sensing, video casting, visible light communications, user authentication, vehicular communications, secrecy, and relay systems, including sophisticated machine learning applications. A number of these papers are a result of successful collaboration between MERL and world-leading Universities including: Osaka University, University of New South Wales, Oxford University, Princeton University, South China University of Technology, Massachusetts Institute of Technology and Aalborg University.

        GLOBECOM is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 3000 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. Themed “Revolutionizing Communications,” GLOBECOM2019 will feature a comprehensive high-quality technical program including 13 symposia and a variety of tutorials and workshops to share visions and ideas, obtain updates on latest technologies and expand professional and social networking.
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