Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Throughput Maximization for Movable Antenna Systems with Movement Delay Consideration

Honghao Wang, Qingqing Wu, Ying Gao, Wen Chen, Weidong Mei, Guojie Hu, Lexi Xu

TL;DR

This paper model the minimum achievable throughput within a transmission block of restricted duration and aim to maximize it in movable antenna (MA)-enabled multiuser downlink communications, and develops an efficient algorithm to optimize MA position via successive convex approximation, which is subsequently extended to the general multiuser setup.

Abstract

In this paper, we model the minimum achievable throughput within a transmission block of restricted duration and aim to maximize it in movable antenna (MA)-enabled multiuser downlink communications. Particularly, we account for the antenna moving delay caused by mechanical movement, which has not been fully considered in previous studies, and reveal the trade-off between the delay and signal-to-interference-plus-noise ratio at users. To this end, we first consider a single-user setup to analyze the necessity of antenna movement. By quantizing the virtual angles of arrival, we derive the requisite region size for antenna moving, design the initial MA position, and elucidate the relationship between quantization resolution and moving region size. Furthermore, an efficient algorithm is developed to optimize MA position via successive convex approximation, which is subsequently extended to the general multiuser setup. Numerical results demonstrate that the proposed algorithms outperform fixed-position antenna schemes and existing ones without consideration of movement delay. Additionally, our algorithms exhibit excellent adaptability and stability across various transmission block durations and moving region sizes, and are robust to different antenna moving speeds. This allows the hardware cost of MA-aided systems to be reduced by employing low rotational speed motors.

Throughput Maximization for Movable Antenna Systems with Movement Delay Consideration

TL;DR

This paper model the minimum achievable throughput within a transmission block of restricted duration and aim to maximize it in movable antenna (MA)-enabled multiuser downlink communications, and develops an efficient algorithm to optimize MA position via successive convex approximation, which is subsequently extended to the general multiuser setup.

Abstract

In this paper, we model the minimum achievable throughput within a transmission block of restricted duration and aim to maximize it in movable antenna (MA)-enabled multiuser downlink communications. Particularly, we account for the antenna moving delay caused by mechanical movement, which has not been fully considered in previous studies, and reveal the trade-off between the delay and signal-to-interference-plus-noise ratio at users. To this end, we first consider a single-user setup to analyze the necessity of antenna movement. By quantizing the virtual angles of arrival, we derive the requisite region size for antenna moving, design the initial MA position, and elucidate the relationship between quantization resolution and moving region size. Furthermore, an efficient algorithm is developed to optimize MA position via successive convex approximation, which is subsequently extended to the general multiuser setup. Numerical results demonstrate that the proposed algorithms outperform fixed-position antenna schemes and existing ones without consideration of movement delay. Additionally, our algorithms exhibit excellent adaptability and stability across various transmission block durations and moving region sizes, and are robust to different antenna moving speeds. This allows the hardware cost of MA-aided systems to be reduced by employing low rotational speed motors.

Paper Structure

This paper contains 16 sections, 1 theorem, 63 equations, 5 figures, 2 algorithms.

Table of Contents

  1. Introduction
  2. System Model and Problem Formulation
  3. Single-User System
  4. When to Move?
  5. One-Path Case
  6. Two-Path Case
  7. Multiple-Path Case
  8. Where to Move?
  9. Multiuser System
  10. Transmit Beamforming Design
  11. Antenna Position Design
  12. Convergence and Computational Complexity Analysis
  13. Numerical Results
  14. Single-User System
  15. Multiuser System
  16. ...and 1 more sections

Key Result

Proposition 1

The maximum achievable throughput is attained at the initial antenna coordinate $x^0$ if the following sufficient conditions are met: indicating that antenna position optimization is unnecessary. Conversely, optimizing the MA position should be considered if the following inequality holds:

Figures (5)

  • Figure 1: System model and transmission protocol of MA-enabled multiuser MISO downlink communications.
  • Figure 2: Convergence behaviors of Algorithms \ref{['Alg_1']} and method in GaoY_multicast_MA.
  • Figure 4: Achievable throughput versus normalized region size.
  • Figure 6: Minimum achievable throughput versus antenna moving speed.
  • Figure 8: Minimum achievable throughput versus transmit power.

Theorems & Definitions (3)

  • Proposition 1
  • proof
  • Remark 1