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    Inter-HAP based geometrical 3-D channel model operating at 28 to 60 GHz for future 6G non-terrestrial networks
    (Institute of Electrical and Electronics Engineers Inc., 2023) Kırık, Muhammet; Abusanad, Nusaibah A.; Arslan, Hüseyin
    This paper presents a geometrical 3-D channel model for stationary inter-high altitude platform (HAP) systems operating at millimeter wave (mmWave) frequency bands for the future 6G non-terrestrial networks (NTNs). The motivation of this study is to satisfy such a scenario where a high data rate between two HAPs is desired. In order to do this, the possible reasons for path loss, namely the free space and atmospheric path losses that are severely observed because of the short wavelength of the mmWave signals, are characterized according to 3GPP standards and ITU recommendations. Unlike most of the air-to-air unmanned aerial vehicle (UAV) channel modeling studies where a 2-D channel model is adopted, this study adopts a 3-D approach to characterize the wireless channel between two HAPs to fill the gap in the literature and reflect the actual characteristics of the air-to-air UAV networks. Moreover, this paper introduces the usage of the multiple input multiple output (MIMO) beam-forming technology in the UAV networks to compensate for the path loss effects in mmWave bands. Numerical results show the validation of the proposed 3-D channel model in point-to-point HAP networks at frequencies varying from 28 to 60 GHz.
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    Joint imaging and communication using sparse antenna arrays
    (2024) Abusanad, Nusaibah A.; Ayasrah, Mus'ab; Arslan, Hüseyin
    This paper expands sensing capabilities by providing a Joint Imaging and Communication (JIC) system, leveraging millimeter-wave (mm-Wave) technology and sparse antenna array. To address the challenges associated with the high cost and power consumption of dense antenna arrays, we use a sparse antenna array (SAA) to avoid such a problem at the expense of image resolution. The enhancement of acquired image resolution is achieved through the incorporation of multiple low-resolution image components corresponding to distinct transmission-reception combinations. In order to achieve a high level of fairness between communication and imaging performance we formulate a non-convex optimization problem, and then propose an algorithm for finding an approximate solution in a fully digital beamforming case. Numerical results on achievable capacity and image resolution are presented to validate the proposed approach and provide insights into system performance.
  • Küçük Resim Yok
    Öğe
    Physical layer security for internet of things networks
    (Institution of Engineering and Technology, 2023) Kırık, Muhammet; Abusanad, Nusaibah A.; Arslan, Hüseyin
    [Abstract Not Available]