Investigation of Holographic Beamforming via Dynamic Metasurface Antennas in QoS Guaranteed Power Efficient Networks

2024-11-08

arXiv.org

AI Summary

To address low power efficiency and the absence of near-field modeling in DMA-assisted multi-user MISO systems, this paper proposes a power-optimal downlink transmission framework based on holographic beamforming. We first integrate a spherical-wave near-field channel model with Lorentzian-response physical constraints to formulate an optimization problem consistent with DMA hardware characteristics. Then, we design a joint alternating optimization and semidefinite programming (SDP) algorithm to minimize total transmit power while guaranteeing user SINR requirements. Theoretical analysis reveals fundamental performance trade-offs imposed by the limited degrees of freedom (DoF) of DMAs in high-density scenarios. Simulation results demonstrate that the proposed method significantly reduces transmit power; quantifies the performance gap between DMA-based and fully digital architectures; and confirms that increasing the number of users exacerbates performance degradation due to DoF bottlenecks.

Technology Category

• Search and Optimization: Distributed Search
• Machine Learning: Hardware-aware ML
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

This work focuses on designing a power-efficient network for Dynamic Metasurface Antennas (DMA)-aided multi-user multiple-input single-output (MISO) antenna systems. Power efficiency is achieved through holographic beamforming in a DMA-aided network, minimizing total transmission power while ensuring a guaranteed signal-to-noise-and-interference ratio (SINR) for multiple users in downlink. Unlike conventional MISO systems, which have well-explored beamforming solutions, DMA require specialized methods due to their unique physical constraints and wave-domain precoding capabilities. To achieve this, optimization algorithms relying on alternating optimization and semi-definite programming, are developed, including spherical-wave channel modelling of near-field communication. In this setup, the beamforming performance of DMA-aided precoding is analyzed in comparison to its optimal limits and traditional fully digital (FD) architectures, considering the effects of the Lorentzian constraints of metasurfaces and the degree of freedom (DoF) limitations due to a reduced number of RF chains. We demonstrate that the performance gap caused by DoF constraints becomes more significant as the number of users increases, highlighting the trade-offs of DMA in high-density wireless networks.

Problem

• Design power-efficient DMA-aided MISO networks.
• Ensure guaranteed SINR for multi-user downlink.
• Address DMA-specific constraints and DoF limitations.

Innovation

• Holographic beamforming for DMA
• Alternating optimization algorithms
• Spherical-wave channel modelling