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Electrical Engineering and Systems Science > Signal Processing

arXiv:2411.06642 (eess)
[Submitted on 11 Nov 2024]

Title:Antenna Coding Empowered by Pixel Antennas

Authors:Shanpu Shen, Kai-Kit Wong, Ross Murch
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Abstract:Pixel antennas, based on discretizing a continuous radiation surface into small elements called pixels, are a flexible reconfigurable antenna technology. By controlling the connections between pixels via switches, the characteristics of pixel antennas can be adjusted to enhance the wireless channel. Inspired by this, we propose a novel technique denoted antenna coding empowered by pixel antennas. We first derive a physical and electromagnetic based communication model for pixel antennas using microwave multiport network theory and beamspace channel representation. With the model, we optimize the antenna coding to maximize the channel gain in a single-input single-output (SISO) pixel antenna system and develop a codebook design for antenna coding to reduce the computational complexity. We analyze the average channel gain of SISO pixel antenna system and derive the corresponding upper bound. In addition, we jointly optimize the antenna coding and transmit signal covariance matrix to maximize the channel capacity in a multiple-input multiple-output (MIMO) pixel antenna system. Simulation results show that using pixel antennas can enhance the average channel gain by up to 5.4 times and channel capacity by up to 3.1 times, demonstrating the significant potential of pixel antennas as a new dimension to design and optimize wireless communication systems.
Comments: 13 pages, 11 figures
Subjects: Signal Processing (eess.SP); Information Theory (cs.IT)
Cite as: arXiv:2411.06642 [eess.SP]
  (or arXiv:2411.06642v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2411.06642

Submission history

From: Shanpu Shen [view email]
[v1] Mon, 11 Nov 2024 00:51:02 UTC (3,608 KB)
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