MADDPG-Based Joint Service Placement and Task Offloading in MEC Empowered Air–Ground Integrated Networks

Du, Jianbo; Kong, Ziwen; Sun, Aijing; Kang, Jiawen; Niyato, Dusit; Chu, Xiaoli; Yu, F. Richard

doi:10.1109/jiot.2023.3326820

Cited by 41 publications

(1 citation statement)

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“…Therefore, in order to improve spectral efficiency and reduce hardware costs, sensing systems and communication systems need to be co‐designed so that they can share the same frequency band and hardware. Integrated Sensing and Communication (ISAC) technology, as an innovative technology that combines sensing and communication functions, will become the key technology to support many important application scenarios in the future wireless system [1‐3]. In ISAC, drones use high‐speed sensors for data acquisition, and need to be able to process and transmit a large amount of data in a limited time, which will bring great power consumption [4, 5].…”

Section: Introductionmentioning

confidence: 99%

Model‐driven neural network based for HPO‐MIMO channel estimation

Gong,

Liu,

Meng

et al. 2024

Electronics Letters

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Integrated Sensing and Communications (ISAC) need to process data streams in high‐speed sensor data acquisition or high‐speed wireless communications. To process the data can require more computing and communication resources, resulting in higher power consumption. Halved‐Phase Only Multiple Input Multiple Output (HPO‐MIMO) communication technology can solve this problem by using low‐power nonlinear detection devices. In ISAC, Channel Estimation (CE) technology can provide key channel characteristics and state information for sensing and collaborative work of perception and communication tasks. However, HPO‐MIMO system cannot realize CE using traditional receiver schemes because of the missing amplitude. In order to solve this problem, two HPO‐MIMO CE schemes based on model‐driven deep learning are proposed in this paper. The proposed schemes include a Densely Residual Network (DRN) and a Inception‐Resnet (IR), which is suitable for the case of sufficient data and insufficient data, respectively. The simulation results show that the performance of DRN based scheme is better than that of IR based scheme when the data amount is sufficient, and the performance of IR based scheme is better when the dataset is small. In addition, the proposed CE schemes work well with a range of antenna sizes and distances.

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Section: Introductionmentioning

confidence: 99%