Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications

Maeng, Sung Joon; Yapc, Yavuz; Guvenc, Ismail; Bhuyan, Arupjyoti; Dai, Huaiyu

doi:10.1109/tvt.2022.3141055

Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications

Journal Article · Thu Jan 06 00:00:00 EST 2022 · IEEE Transactions on Vehicular Technology

DOI:https://doi.org/10.1109/tvt.2022.3141055· OSTI ID:1882408

^[1]; Yapc, Yavuz ^[2]; ^[1]; ^[3]; ^[1]

North Carolina State Univ., Raleigh, NC (United States)
Qualcomm Inc., Bridgewater Township, NJ (United States)
Idaho National Lab. (INL), Idaho Falls, ID (United States)

Supporting reliable and seamless wireless connectivity for unmanned aerial vehicles (UAVs) has recently become a critical requirement to enable various different use cases of UAVs. Due to their widespread deployment footprint, cellular networks can support beyond visual line of sight (BVLOS) communications for UAVs. In this paper, we consider cellular connected UAVs (C-UAVs) that are served by massive multiple input-multiple-output (MIMO) links to extend coverage range, while also improving physical layer security and authentication. Here, we consider Rician channel and propose a novel linear precoder design for transmitting data and artificial noise (AN). We derive the closed-form expression of the ergodic secrecy rate of CUAVs for both conventional and proposed precoder designs. In addition, we obtain the optimal power splitting factor that divides the power between data and AN by asymptotic analysis. Then, we apply the proposed precoder design in the fingerprint embedding authentication framework, where the goal is to minimize the probability of detection of the authentication tag at an eavesdropper. In simulation results, we show the superiority of the proposed precoder in both secrecy rate and the authentication probability considering moderate and large number of antenna massive MIMO scenarios.

View Accepted Manuscript (DOE)

Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1882408

Report Number(s):: INL/JOU-22-65595-Rev000

Journal Information:: IEEE Transactions on Vehicular Technology, Journal Name: IEEE Transactions on Vehicular Technology Journal Issue: 3 Vol. 71; ISSN 0018-9545

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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99 GENERAL AND MISCELLANEOUS
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