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Dissanayake, Wimeth; Hailstone, Richard; Castillo, Leslie; Nafar, Fateme “Sara”; Bao, Mengdi; Wang, Ruo-Qian; Gates, Colin; Yong, Xin; Du, Ke (, Algal Research)
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Majumdar, Ishani B.; Vosoughitabar, Shaghayegh; Michael Wu, Chung-Tse; Mandayam, Narayan B.; Brodie, Joseph F.; Golparvar, Behzad; Wang, Ruo-Qian (, 2022 IEEE Future Networks World Forum (FNWF))The utilization of newer spectrum bands such as in 5G and 6G networks, has the potential to inadvertently cause interference to passive sensing applications operating in the adjacent portions of spectrum. One such application that has received a lot of attention has been passive weather sensing where leakage from 5G mmWave band transmissions in the 26 GHz spectrum could potentially impact the observations of passive sensors on weather prediction satellites. To mitigate problems such as the above, we present a design framework that can be employed in mmWave networks by using filtennas (or filtering antennas) at the transmitter along with integrated resource allocation to minimize leakage into adjacent channels. Specifically, we propose an Iterative Leakage Aware Water Filling solution to allocate power and bandwidth in a system employing filtennas that guarantees performance requirements while reducing the leakage. In addition, a key contribution of this work is the characterization of the leakage function based on the order of filtennas which is incorporated in our resource allocation framework.more » « less
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