Fluid Antenna for Mobile Edge Computing
Abstract: In the evolving environment of mobile edge computing (MEC), optimizing system performance to meet the growing demand for low-latency computing services is a top priority. Integrating fluidic antenna (FA) technology into MEC networks provides a new approach to address this challenge. This letter proposes an FA-enabled MEC scheme that aims to minimize the total system delay by leveraging the mobility of FA to enhance channel conditions and improve computational offloading efficiency. By establishing an optimization problem focusing on the joint optimization of computation offloading and antenna positioning, we introduce an alternating iterative algorithm based on the interior point method and particle swarm optimization (IPPSO). Numerical results demonstrate the advantages of our proposed scheme compared to traditional fixed antenna positions, showing significant improvements in transmission rates and reductions in delays. The proposed IPPSO algorithm exhibits robust convergence properties, further validating the effectiveness of our method.
- Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, “A survey on mobile edge computing: The communication perspective,” IEEE Commun. Surv. Tut., vol. 19, no. 4, pp. 2322–2358, Aug. 2017.
- Y. Zuo, J. Guo, N. Gao, Y. Zhu, S. Jin, and X. Li, “A survey of blockchain and artificial intelligence for 6G wireless communications,” IEEE Commun. Surv. Tut., vol. 25, no. 4, pp. 2494–2528, Sep. 2023.
- N. Abbas, Y. Zhang, A. Taherkordi, and T. Skeie, “Mobile edge computing: A survey,” IEEE Internet Things J., vol. 5, no. 1, pp. 450–465, Sep. 2017.
- K.-K. Wong, W. K. New, X. Hao, K.-F. Tong, and C.-B. Chae, “Fluid antenna system—part I: Preliminaries,” IEEE Commun. Lett., vol. 27, no. 8, pp. 1919–1923, Aug. 2023.
- L. Zhu, W. Ma, B. Ning, and R. Zhang, “Movable-antenna enhanced multiuser communication via antenna position optimization,” IEEE Trans. Wireless Commun., 2023, Early Access.
- P. Ramirez-Espinosa, D. Morales-Jimenez, and K.-K. Wong, “A new spatial block-correlation model for fluid antenna systems,” arXiv preprint arXiv:2401.04513, 2024.
- Y. Ye, L. You, J. Wang, H. Xu, K.-K. Wong, and X. Gao, “Fluid antenna-assisted MIMO transmission exploiting statistical CSI,” IEEE Commun. Lett., vol. 28, no. 1, pp. 223–227, Jan. 2024.
- J. Zhu, G. Chen, P. Gao, P. Xiao, Z. Lin, and A. Quddus, “Index modulation for fluid antenna-assisted MIMO communications: System design and performance analysis,” IEEE Trans. Wireless Commun., 2024, Early Access.
- G. Hu, Q. Wu, K. Xu, J. Ouyang, J. Si, Y. Cai, and N. Al-Dhahir, “Fluid antennas-enabled multiuser uplink: A low-complexity gradient descent for total transmit power minimization,” IEEE Commun. Lett., vol. 28, no. 3, pp. 602–606, Mar. 2024.
- F. R. Ghadi, K.-K. Wong, W. K. New, H. Xu, R. Murch, and Y. Zhang, “On performance of RIS-aided fluid antenna systems,” arXiv preprint arXiv:2402.16116, 2024.
- K.-K. Wong, K.-F. Tong, Y. Chen, and Y. Zhang, “Extra-large MIMO enabling slow fluid antenna massive access for millimeter-wave bands,” Electron. Lett., vol. 58, no. 25, pp. 1016–1018, Nov. 2022.
- G. Hu, Q. Wu, K. Xu, J. Ouyang, J. Si, Y. Cai, and N. Al-Dhahir, “Movable-antenna array enabled multiuser uplink: A low-complexity gradient descent for total transmit power minimization,” arXiv preprint arXiv:2312.05763, 2023.
- Z. Xiao, X. Pi, L. Zhu, X.-G. Xia, and R. Zhang, “Multiuser communications with movable-antenna base station: Joint antenna positioning, receive combining, and power control,” arXiv preprint arXiv:2308.09512, 2023.
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