Deep reinforcement learning online offloading for SWIPT multiple access edge computing network

• Main Authors: Teckchai, Tiong, Ismail Saad, Tze, Kenneth Kin Teo, Herwansyah Lago
• Format: Proceedings
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers 2021
• Subjects: QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/32718/1/Deep%20reinforcement%20learning%20online%20offloading%20for%20SWIPT%20multiple%20access%20edge%20computing%20network.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32718/2/Deep%20Reinforcement%20Learning%20Online%20Offloading%20for%20SWIPT%20Multiple%20Access%20Edge%20Computing%20Network.pdf; https://eprints.ums.edu.my/id/eprint/32718/; https://ieeexplore.ieee.org/document/9612551
• Institution: Universiti Malaysia Sabah

More computation-intensive and low latency applications are emerging recently, and they are constrained by the computing power and battery life of internet of things (IoT). Simultaneous wireless information and power transfer (SWIPT) with mobile-edge computing (MEC) can improve the data processing c...