2023 journal article

Analysis of UAV Radar and Communication Network Coexistence With Different Multiple Access Protocols

IEEE Transactions on Communications.

By: S. Maeng  n, J. Park * & İ. Guvenç  n

TL;DR: Using stochastic geometry, closed-form expressions are derived to characterize the performance of coexisting UAV radar and communication networks for spectrum overlay multiple access (SOMA) and time-divisionmultiple access (TDMA) and results show that SOMA can outperform TDMA on both SRP and TC when the node density of active UAV-radars is larger than the nodes density of UAVs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Source: ORCID
Added: August 16, 2023

Unmanned aerial vehicles (UAVs) are expected to be used extensively in the future for various applications, either as user equipment (UEs) connected to a cellular wireless network, or as an infrastructure extension of an existing wireless network to serve other UEs. Next generation wireless networks will consider the use of UAVs for joint communication and radar and/or as dedicated radars for various sensing applications. Increasing number of UAVs will naturally result in larger number of communication and/or radar links that may cause interference to nearby networks, exacerbated further by the higher likelihood of line-of-sight signal propagation from UAVs even to distant receivers. With all these, it is critical to study network coexistence of UAV-mounted base stations (BSs) and radar transceivers. In this paper, using stochastic geometry, we derive closed-form expressions to characterize the performance of coexisting UAV radar and communication networks for spectrum overlay multiple access (SOMA) and time-division multiple access (TDMA). We evaluate successful ranging probability (SRP) and the transmission capacity (TC) and compare the performance of TDMA and SOMA. Our results show that SOMA can outperform TDMA on both SRP and TC when the node density of active UAV-radars is larger than the node density of UAV-comms.