FAGA: Feedback-Aided Greedy Algorithm for Periodic Messages in LTE V2V Communications

Vehicle-to-vehicle (V2V) communication based on the device-to-device (D2D) communication in long term evolution (LTE) system is emerging as a key enabler for connected vehicles today. In this paper, the authors consider safety-related messages periodically transmitted by vehicle to announce its current status to other neighboring vehicles. The current state-of-the-art LTE V2V communication uses greedy algorithm for the transmission of such periodic messages. Greedy algorithm is known to have decent performance, but the performance is limited due to the lack of a collision–detection mechanism. In this paper, the authors propose<italic>feedback-aided greedy algorithm (FAGA)</italic>to complement the drawback of greedy algorithm. The authors evaluate FAGA via realistic simulations to show that it outperforms comparison schemes in terms of overall message reception ratio (MRR). As a result, it is shown that FAGA operates well even with small amount of feedback and its performance is close to the performance of centralized scheduling method. Moreover, FAGA outperforms greedy algorithm by up to 23.7% in terms of MRR performance.


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  • Accession Number: 01685773
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Nov 15 2018 3:53PM