Antenna Coding Empowered by Pixel Antennas

2024-11-11

arXiv.org

AI Summary

Pixel antennas’ reconfigurability remains underexploited at the communication layer due to a lack of deep cross-layer synergy. Method: This paper proposes a physics-informed antenna coding framework: (i) modeling pixel antennas as multi-port microwave networks and (ii) introducing beamspace channel representation; it jointly optimizes antenna coding and signal covariance to co-enhance channel response and communication performance in both SISO and MIMO systems. The framework incorporates an electromagnetic-model-guided, low-complexity codebook design and a hardware–algorithm co-optimization mechanism. Results: Experiments demonstrate a 5.4× average channel gain improvement in SISO systems and a 3.1× increase in ergodic capacity for MIMO systems, validating pixel antennas as a viable and effective “new dimension” for wireless communications.

Technology Category

• Multiagent Systems: Agent Communication
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Computer Vision: Learning & Optimization for CV

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation

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.

Problem

• Optimizing antenna coding to maximize SISO channel gain
• Designing codebooks to reduce antenna coding complexity
• Jointly optimizing antenna coding and MIMO covariance for capacity

Innovation

• Pixel antennas discretize radiation surface into reconfigurable elements
• Antenna coding optimizes channel gain via switch-controlled pixel connections
• Joint optimization of coding and signal covariance maximizes MIMO capacity