Collaborative inference between the edge cloud and user equipment (UE) is a promising paradigm for deploying large deep neural networks (DNNs) in 6G networks. However, existing cloud-edge inference and distillation schemes often require the real-time transmission of high-dimensional intermediate features or soft probab...
Wan-Ling Luo, Jia-Yi Zhang, Bo-Kai Xu et al.· 0 citations
In this paper, we investigate a full-duplex (FD) cell-free massive multiple-input multiple-output (CF mMIMO) architecture with millimeter wave (mmWave) fronthaul, where uplink (UL) and downlink (DL) payload data and control signaling must be simultaneously supported. We first revisit the fronthaul requirements of repre...
Zhi-Long Liu, Jia-Yi Zhang, En-Yu Shi et al.· IEEE Transactions on Wireles...· 0 citations
Cell-free massive multiple-input multiple-output (CF mMIMO) requires effective power control, but centralized processing relies on global instantaneous channel state information (CSI) and creates heavy fronthaul load. This letter focuses on low-overhead distributed power control under limited fronthaul capacity. We pro...
Yukun Ma, Jiayi Zhang, Zih-Yi Liu et al.· IEEE Wireless Communications...· 0 citations
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