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    <responseDate>2026-10-13T00:59:01Z</responseDate>
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    <identifier>10.57760/sciencedb.nbsdc.00117</identifier>
    <datestamp>2025-04-14T09:30:16Z</datestamp>
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  <dc:date>2025-04-14</dc:date>
  <dc:title>Tracking and Transmission Design in Terahertz V2I Networks</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.nbsdc.00117</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This paper designs the vehicle tracking and resource allocation in the terahertz (THz) vehicle-to-infrastructure communications (V2I) networks, where roadside units (RSUs) equipped with leaky-wave antennas help to estimate the driving states of multiple vehicles and optimize the transmit power andbandwidth per vehicle after receiving the vehicles&amp;rsquo; feedback. Different from the conventional phased arrays, the leaky-wave antenna has the potential of improving the sensing accuracy with lower system overhead thanks to its unique spatial-spectral coupling feature. The generalized mobile scenario is studied in which vehicles drive at time-varying speeds. A novel unscented Kalman filter (UKF) based solution is proposed to track the vehicles without requirement of addressing the Doppler effect. Based on the estimated states of multiple vehicles, a low complexity resource allocation method is developed to maximize the sum rate under user fairness concern. Simulation results confirm that the proposed tracking solution can evaluate the propagation angle, vehicle&amp;rsquo;s states and inter-vehicle distance accurately, and the tailored resource allocation method strikes a delicate balance between the sum rate and user fairness in the multi-vehicle V2I scenario.</dc:description>
  <dc:subject>Terahertz V2I; leaky-wave antenna; unscented Kalman filter; resource allocation</dc:subject>
  <dc:creator>王礼锋</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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