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Movable Antenna-Enabled Co-Frequency Co-Time Full-Duplex Wireless Communication

Jingze Ding, Zijian Zhou, Wenyao Li, Chenbo Wang, Lifeng Lin, Bingli Jiao

TL;DR

A novel MA-enabled point-to-point CCFD system is proposed and a solution based on projected particle swarm optimization (PPSO) is introduced, which can circumvent common suboptimal positioning issues and lead to better performance compared to the conventional alternating position optimization (APO).

Abstract

Movable antenna (MA) provides an innovative way to arrange antennas that can contribute to improved signal quality and more effective interference management. This technology is especially beneficial for co-frequency co-time full-duplex (CCFD) wireless communication, which struggles with self-interference (SI) that usually overpowers the desired incoming signals. By dynamically repositioning transmit/receive antennas, we can mitigate the SI and enhance the reception of incoming signals. Thus, this paper proposes a novel MA-enabled point-to-point CCFD system and formulates the minimum achievable rate of two CCFD terminals. To maximize the minimum achievable rate and determine the positions of MAs, we introduce a solution based on projected particle swarm optimization (PPSO), which can circumvent common suboptimal positioning issues. Moreover, simulation results reveal that the PPSO method leads to better performance compared to the conventional alternating position optimization (APO). The results also demonstrate that an MA-enabled CCFD system outperforms the one using fixed-position antennas (FPAs).

Movable Antenna-Enabled Co-Frequency Co-Time Full-Duplex Wireless Communication

TL;DR

A novel MA-enabled point-to-point CCFD system is proposed and a solution based on projected particle swarm optimization (PPSO) is introduced, which can circumvent common suboptimal positioning issues and lead to better performance compared to the conventional alternating position optimization (APO).

Abstract

Movable antenna (MA) provides an innovative way to arrange antennas that can contribute to improved signal quality and more effective interference management. This technology is especially beneficial for co-frequency co-time full-duplex (CCFD) wireless communication, which struggles with self-interference (SI) that usually overpowers the desired incoming signals. By dynamically repositioning transmit/receive antennas, we can mitigate the SI and enhance the reception of incoming signals. Thus, this paper proposes a novel MA-enabled point-to-point CCFD system and formulates the minimum achievable rate of two CCFD terminals. To maximize the minimum achievable rate and determine the positions of MAs, we introduce a solution based on projected particle swarm optimization (PPSO), which can circumvent common suboptimal positioning issues. Moreover, simulation results reveal that the PPSO method leads to better performance compared to the conventional alternating position optimization (APO). The results also demonstrate that an MA-enabled CCFD system outperforms the one using fixed-position antennas (FPAs).
Paper Structure (9 sections, 11 equations, 5 figures, 1 algorithm)

This paper contains 9 sections, 11 equations, 5 figures, 1 algorithm.

Figures (5)

  • Figure 1: An MA-enabled point-to-point CCFD system.
  • Figure 2: The coordinates and spatial angles for transmit and receive MAs.
  • Figure 3: Evaluations of the (a) convergence and (b) normalized cumulative error of the PPSO method.
  • Figure 4: Channel gains vs. moving region size $D$.
  • Figure 5: Minimum achievable rates vs. (a) moving region size $D$, (b) number of SI paths, and (c) number of SoI paths.