Abstract

Due to their fast and flexible deployment, drones can support terrestrial networks for rapid information dissemination by broadcasting emergency messages to ground devices in public safety scenarios (e.g., bushfire and flood). In this paper, we consider a drone-initiated device-to-device-aided (D2D-aided) multihop multicast network where a drone is deployed to broadcast an emergency alert message to all terrestrial D2D users at the first time slot. After that, the D2D users that have successfully received the message become the active transmitters and multicast the message through multihop for the next time slots. Using stochastic geometry, we propose a general analytical framework to compute the link coverage probability, the mean local delay for a D2D user and the network coverage probability. The Monte Carlo simulation results confirm the accuracy of the proposed framework. Our results reveal the impacts of the different system parameters (i.e., height and transmit power of the drone and density and sensitivity radius of the D2D users) on the link performance and the network performance. It is found that a higher drone altitude provides better link and network coverage probabilities and lower mean local delay. The results show that under practical setups, the cell edge user located 2 km from the ground projection of the drone has a link coverage probability around 90% after 5 time slots and a mean local delay of 2.32 time slots with a drone height as low as 200 m.

Highlights

  • Drones have high mobility and can be and flexibly deployed and rapidly and dynamically reconfigured to provide on-demand wireless communication to terrestrial users

  • Note that the probability for local delay greater than 50 time slots is very small and negligible under the considered system parameters, so we only sum up from d = 2 to d = 50 in the calculation of the mean local delay in Proposition 2 for the results presented

  • IMPACT OF DRONE HEIGHT In Figure 4(a), Figure 4(b) and Figure 4(c), we investigate the effect of deployment height of the drone on the link coverage probability at the cell edge user, the mean local delay of a D2D user and the network coverage probability after time slot Tn respectively

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Summary

INTRODUCTION

Drones have high mobility and can be and flexibly deployed and rapidly and dynamically reconfigured to provide on-demand wireless communication to terrestrial users. The investigation of drone-initiated D2D-aided multihop multicast networks for the rapid spread of emergency alert messages in public safety scenarios is a timely and important open problem in the literature which is addressed in this work. Different from information dissemination, many papers have investigated the use of drones to provide downlink coverage in wireless networks. In [26], the authors analyzed the coverage probability, the mean number of covered receivers (RXs) and the throughput of a multicast D2D network with and without the help from overlay cellular networks using stochastic geometry and explored how to improve the network performance by optimizing the multicast rate and the number of retransmission times. The cell edge user located 2 km from the ground projection of the drone has a link coverage probability around 90% after 5 time slots and a mean local delay of 2.32 time slots with a drone altitude as low as 200 m

NOTATION AND PAPER ORGANIZATION
CHANNEL MODEL
NETWORK PERFORMANCE
A PD exp 2
RESULTS
LINK COVERAGE PROBABILITY
CONCLUSION

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