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Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization

Ruopeng Xu, Yixuan Chen, Jiawen Kang, Minrui Xu, Zhaohui Yang, Chongwen Huang, Dusit Niyato

TL;DR

This paper formulate a sum rate maximization problem through jointly optimizing the antenna location and bandwidth allocation with meeting the minimum rate requirements, total bandwidth budget, and feasible antenna region constraints and obtains the optimal bandwidth in closed form.

Abstract

In this paper, we investigate the problem of resource allocation for fluid antenna relay (FAR) system with antenna location optimization. In the considered model, each user transmits information to a base station (BS) with help of FAR. The antenna location of the FAR is flexible and can be adapted to dynamic location distribution of the users. We formulate a sum rate maximization problem through jointly optimizing the antenna location and bandwidth allocation with meeting the minimum rate requirements, total bandwidth budget, and feasible antenna region constraints. To solve this problem, we obtain the optimal bandwidth in closed form. Based on the optimal bandwidth, the original problem is reduced to the antenna location optimization problem and an alternating algorithm is proposed. Simulation results verify the effectiveness of the proposed algorithm and the sum rate can be increased by up to 125% compared to the conventional schemes.

Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization

TL;DR

This paper formulate a sum rate maximization problem through jointly optimizing the antenna location and bandwidth allocation with meeting the minimum rate requirements, total bandwidth budget, and feasible antenna region constraints and obtains the optimal bandwidth in closed form.

Abstract

In this paper, we investigate the problem of resource allocation for fluid antenna relay (FAR) system with antenna location optimization. In the considered model, each user transmits information to a base station (BS) with help of FAR. The antenna location of the FAR is flexible and can be adapted to dynamic location distribution of the users. We formulate a sum rate maximization problem through jointly optimizing the antenna location and bandwidth allocation with meeting the minimum rate requirements, total bandwidth budget, and feasible antenna region constraints. To solve this problem, we obtain the optimal bandwidth in closed form. Based on the optimal bandwidth, the original problem is reduced to the antenna location optimization problem and an alternating algorithm is proposed. Simulation results verify the effectiveness of the proposed algorithm and the sum rate can be increased by up to 125% compared to the conventional schemes.
Paper Structure (12 sections, 28 equations, 3 figures, 1 algorithm)

This paper contains 12 sections, 28 equations, 3 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. System Model and Problem Formulation
  3. Communication Model
  4. Problem Formulation
  5. Algorithm Design
  6. Bandwidth Optimization
  7. Antenna Location Optimization
  8. Antenna Location Optimization for Port B
  9. Antenna Location Optimization for Port A
  10. Algorithm Analysis
  11. Simulation Results
  12. Conclusion

Figures (3)

  • Figure 1: An uplink communication system with one BS, one FAR, and multiple users.
  • Figure 2: An illustration of the optimal region of the antenna location for FAR port B.
  • Figure 3: Sum rate versus the transmit power of each user.