Intermittent vehicle-to-everything (V2X) communication can remove collaborator information needed for cooperative perception, degrading object detection during link outages. Existing recovery methods reconstruct missing features but rarely determine when to trust predictions, reuse historical observations, or request f...
Zhao-Yu Liu, Dong-Min Wang, Liu Cao et al.· 0 citations
An energy-efficient multi-agent proximal policy optimisation algorithm is proposed for a three-layer UAV-assisted network, where task UAVs (TUAVs) aggregate users’ data, and service UAVs provide edge computation and cached files.
Zhi-Ran Wang, Bin-Tao Hu, Jian-Bo Du et al.· IEEE Wireless Communications...· 0 citations
Space-based artificial intelligence (AI) is moving beyond isolated onboard processing toward constellation-scale computing over optical inter-satellite links (OISLs). Yet current infrastructures remain fragmented, making end-to-end (E2E) coordination across heterogeneous and multi-vendor systems difficult. This article...
Zi-Sheng Gong, Zhao-Yu Liu, Houtianfu Wang et al.· 0 citations
This paper investigates channel sounding for ultra-high reliability (UHR) operation in a Wi-Fi 8/IEEE 802.11bn-inspired downlink multi-user multiple-input multiple-input multiple-output (MU-MIMO) system with a batteryless passive overlay and optimize the post-sounding transmission interval to maximize the aggregate thr...
This paper investigates a packetized batteryless V2X overlay architecture in which a dedicated short-range communications (DSRC)-based packet simultaneously carries conventional V2X data and a passive overlay payload, and proposes a multi-agent reinforcement learning (MARL)-based adaptive parameter-selection method.
Zhao-Yu Liu, Ruikang Li, Liu Cao et al.· 0 citations
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