Computing Offloading and Semantic Compression for Intelligent Computing Tasks in MEC Systems (2307.02747v1)
Abstract: This paper investigates the intelligent computing task-oriented computing offloading and semantic compression in mobile edge computing (MEC) systems. With the popularity of intelligent applications in various industries, terminals increasingly need to offload intelligent computing tasks with complex demands to MEC servers for computing, which is a great challenge for bandwidth and computing capacity allocation in MEC systems. Considering the accuracy requirement of intelligent computing tasks, we formulate an optimization problem of computing offloading and semantic compression. We jointly optimize the system utility which are represented as computing accuracy and task delay respectively to acquire the optimized system utility. To solve the proposed optimization problem, we decompose it into computing capacity allocation subproblem and compression offloading subproblem and obtain solutions through convex optimization and successive convex approximation. After that, the offloading decisions, computing capacity and compressed ratio are obtained in closed forms. We design the computing offloading and semantic compression algorithm for intelligent computing tasks in MEC systems then. Simulation results represent that our algorithm converges quickly and acquires better performance and resource utilization efficiency through the trend with total number of users and computing capacity compared with benchmarks.
- H. Xie and Z. Qin, “A lite distributed semantic communication system for internet of things,” IEEE J. Sel. Areas Commun., vol. 39, no. 1, pp. 142-153, Nov. 2020.
- Y. Yang, C. Guo, F. Liu, C. Liu, L. Sun, Q. Sun, and J. Chen, “Semantic Communications With AI Tasks”, arXiv preprint arXiv:2109.14170, Sep. 2021.
- B. Gu, F. Hu and H. Liu, “Modelling classification performance for large data sets,” International Conf. Web-Age Information Management, pp. 317-328, Springer, Berlin, Heidelberg, 2001.
- C. Wang, C. Liang, F.R. Yu, and Q. Chen and L. Tang, “Computation offloading and compression in wireless cellular networks with mobile edge computing,” IEEE Trans. Wireless Commun., vol. 16, no. 8, pp. 4924-4938, May. 2017.
- G. Faraci, C. Grasso, and G. Schembra, “Design of a 5G Network Slice Extension With MEC UAVs Managed With Reinforcement Learning,” IEEE J. Sel. Areas Commun., vol. 16, no. 7, pp. 2356-2371, Oct. 2020.
- H. Xie, Z. Qin, G. Y. Li, and B. H. Juang. “Deep learning enabled semantic communication systems,” IEEE Trans. Signal Process., vol. 69, pp. 2663-2675, Apr. 2021.
- Y. Wang, M. Chen, T. Luo, W. Saad, D. Niyato, H. V. Poor, and S. Cui, “Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach”, IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2598-2613, Sept. 2022.
- W. Fan, Z. Chen, Z. Hao, Y. Su, F. Wu, B. Tang and Y.A. Liu. “DNN Deployment, Task Offloading, and Resource Allocation for Joint Task Inference in IIoT,” IEEE Trans. Industr. Inform., Jul. 2022.
- M. Grant, S. Boyd, and Y. Ye, “CVX: MATLAB software for disciplined convex programming,” 2014. [Online]. Available: http://cvxr.com/cvx/.
- S. Ying, P. Babu, and D. P. Palomar, “Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning,” IEEE Trans. Signal Process., vol. 65, no. 3, Feb. 2017.
- 3GPP, “Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Further advancements for E-UTRA physical layer aspects,” TR 36.814, Release 9, pp. 94-96, Mar. 2017.
- S. Zarandi and H. Tabassum, “Delay minimization in sliced multi-cell mobile edge computing (MEC) systems,” IEEE Commun. Lett., vol. 25, no. 6, pp. 1964-1968, Jan. 2021.
- J. Feng, Q. Pei, F. R. Yu, X. Chu, J. Du, and L. Zhu, “Dynamic Network Slicing and Resource Allocation in Mobile Edge Computing Systems,” IEEE Trans. Veh. Technol., vol. 69, no. 7, pp. 7863-7878, Jul. 2020.
- Yuanpeng Zheng (4 papers)
- Tiankui Zhang (14 papers)
- Rong Huang (29 papers)
- Yapeng Wang (10 papers)