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Outage Probability of V2V Multiple-Antenna Rice Fading Links with Explicit Ground Reflection
Ref: CISTER-TR-221003       Publication Date: 11 to 15, Jan, 2023

Outage Probability of V2V Multiple-Antenna Rice Fading Links with Explicit Ground Reflection

Ref: CISTER-TR-221003       Publication Date: 11 to 15, Jan, 2023

Abstract:
This paper investigates the improvement in terms of outage probability of a vehicle-to-vehicle (V2V) communication link with respect to the density of antennas used at each vehicle end. The objective is to find a trade-off between system complexity and communication performance considering that the deterministic component of the link is affected explicitly by multiple ground reflections (self-interference). The antennas are assumed to be located at regularly distributed positions across the surface of contiguous vehicles. Part of the work assumes symbol repetition at the transmitter side, and different signal combining mechanisms at the receiver side, namely, maximum-ratio and equal-gain combining (MRC and EGC, respectively). The objective is to minimize outage probability of the link with deterministic and stochastic channel components (Rice-distributed), where the line-of-sight (LOS) is affected by multi-ray ground reflections as an extension of the well-known two-ray model. This scenario is considered more realistic for V2V scenarios due to the potential proximity of ground to the antenna elements. The outage probability is calculated over a range of inter-vehicle distances with respect to the free-space loss solution. The results show that performance is improved even for a relatively small number of antennas and that a critical point is reached beyond which improvement is only differential. This suggests that an optimum trade-off can be obtained to ensure a value of outage probability with a complexity constraint over a range of inter-vehicle distances.

Authors:
Miguel Gutiérrez Gaitán
,
Ramiro Robles
,
Jonathan Rodriguez


IEEE Global Communications Conference (GLOBECOM 2022).
Rio de Janeiro, Brasil.

DOI:10.1109/GLOBECOM48099.2022.10001431.
ISBN: 978-1-6654-3541-3.



Record Date: 4, Dec, 2022