CQI-Based Interference-Aware Graph Resource-Sharing Scheme for Vehicular Networks

Wenson Chang, Wei Ya Liu

Research output: Contribution to journalArticlepeer-review

Abstract

With the goal of maximizing the sum rate of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) networks, a well-designed resource-sharing scheme tends to match the ones producing less amount of interference. The statistics also reveals that the interference incurred by a well-designed resource-sharing scheme concentrates at a certain level. This observation hints us that as the non-uniform quantization scheme is used, solely fewer quantization bits are required to capture the main characteristic of the resource-sharing interference. Thus, in this paper, we aim to reduce the overheads for reporting the channel state information (CSI) to avoid any intolerable amount of interference caused by improperly resource sharing between V2I and V2V connections. To achieve this, the non-uniform quantization method is developed to construct the channel-quality indicator (CQI) for capturing the most informative CSI using fewer bits. Taking the conventional interference-aware graph resource-sharing scheme with perfect CSI as the baseline, we find that with regular traffic density, one-bit CQI can achieve equivalent performance. That remarkably saves 95.5% of CSI overheads without sacrificing the sum rate.

Original languageEnglish
Article number8835052
Pages (from-to)3923-3928
Number of pages6
JournalIEEE Transactions on Intelligent Transportation Systems
Volume21
Issue number9
DOIs
Publication statusPublished - 2020 Sep

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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