Journal
IEEE COMMUNICATIONS LETTERS
Volume 21, Issue 3, Pages 580-583Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2016.2626293
Keywords
Packet transmission delay; queueing theory; resources allocation; unmanned aerial vehicle; Voronoi tessellation
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Funding
- Institute for Information & Communications Technology Promotion (IITP) Grant - Korea government (MSIP) [B0717-16-0004]
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [B0717-16-0004] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Research and development of heterogeneous small cell in cellular network accommodates the proliferation of data-hungry devices and applications. Meanwhile, for challenges in providing high-data-rate transmission in poor coverage area, utilizing unmanned aerial vehicles (UAVs) provides a promising solution attracting tremendous attention. However, tight integration of UAVs creates an obstruction in existing network to acquire high efficient resource utilization, which needs investigation in 3D network architecture. In this letter, we propose a resource allocation optimization mechanism to minimize mean packet transmission delay in 3D cellular network with multi-layer UAVs. Numerical results demonstrate effectiveness of the proposed algorithm, where optimal spectrum and power allocation can provide minimum packet transmission delay.
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