Abstract:
This paper proposes drone assisted device-to-device cooperative communication (DADDCC) for critical situations during post-disaster management. The proposed network
utilizes the autonomous mode of D2D communication for setting up the link in the
absence of a central node. This network incorporates cooperative communication using
drone in D2D session for improving reliability of the overall system. A probability-based
statistical channel model for such networks is proposed by taking the statistical independence of links into consideration. Unlike the existing air-to-ground (A2G) channel models
that use either Rayleigh or Rician distribution for uplink (UL) and downlink (DL) channel modelling, our approach takes the probability of occurrence of line of sight (LoS)
into account while predicting the appropriate channel distribution for UL and DL separately. For performance evaluation of the proposed network, average outage probability
and average capacity are derived using the proposed channel model. Monte Carlo simulations are conducted to verify our analysis. Moreover, a multi-cluster DA-DDCC scenario
is also being analyzed through simulations from an interference perspective to justify the
usefulness of the proposed channel model. Results obtained through this investigation can
be utilized in selecting various crucial system parameters judiciously for enhanced performance during post-disaster scenario.
