Faculty Publications

Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736

Publications by NITK Faculty

Browse

Search Results

Now showing 1 - 2 of 2
  • Item
    Switchable Wideband phase Gradient Beam Steering Reflector/Absorber for Applications such as Intelligent Reflecting Surfaces
    (Institute of Electrical and Electronics Engineers Inc., 2023) Janawade, S.A.; Krishnan, K.; Kandasamy, K.
    A miniaturized dual functional phase gradient meta-structure for beam steering and simultaneous RCS reduction is proposed in this work. A unit cell is designed, which generates a complete phase profile from -90° to 90° to direct the incident beam in all directions. The novelty in the proposed work is that the realized unit cell can reflect incident EM waves with 99.9% efficiency over a wide range of frequencies from 1 Hz to 40 GHz. Also, when the unit cell is loaded with lumped elements like a resistor and capacitor, it acts as an absorber. The magnitude of absorption is controlled by resistor, which can be varied from 79.17% to 99.97%, whereas the frequency at which absorption occurs can be tuned by varying capacitance. This unit cell configuration could achieve beam steering at sub 6 GHz, K and Ka-band frequencies. The dimensions of the proposed meta-atom is 8.4x8.4x1.56 mm3 and formulated on Rogers RT duroid 5880. © 2023 IEEE.
  • Item
    A Low-Complexity Solution for Optimizing Binary Intelligent Reflecting Surfaces towards Wireless Communication
    (Multidisciplinary Digital Publishing Institute (MDPI), 2024) Janawade, S.A.; Krishnan, P.; Kandasamy, K.; Holla, S.S.; Rao, K.; Chandrasekar, A.
    Intelligent Reflecting Surfaces (IRSs) enable us to have a reconfigurable reflecting surface that can efficiently deflect the transmitted signal toward the receiver. The initial step in the IRS usually involves estimating the channel between a fixed transmitter and a stationary receiver. After estimating the channel, the problem of finding the most optimal IRS configuration is non-convex, and involves a huge search in the solution space. In this work, we propose a novel and customized technique which efficiently estimates the channel and configures the IRS with fixed transmit power, restricting the IRS coefficients to  (Formula presented.). The results from our approach are numerically compared with existing optimization techniques.The key features of the linear system model under consideration include a Reconfigurable Intelligent Surface (RIS) setup consisting of 4096 RIS elements arranged in a 64 × 64 element array; the distance from RIS to the access point measures 107 m. NLOS users are located around 40 m away from the RIS element and 100 m from the access point. The estimated variance of noise  (Formula presented.)  is 3.1614  (Formula presented.). The proposed algorithm provides an overall data rate of 126.89 (MBits/s) for Line of Sight and 66.093 (MBits/s) for Non Line of Sight (NLOS) wireless communication. © 2024 by the authors.