Massive multiple-input multiple-output (MIMO) systems is one of the key scenarios for 5G and future 6G networks. Power allocation is a critical yet computationally expensive component in multi-cell MIMO downlink systems. While the weighted minimum mean-square error (WMMSE) algorithm achieves near-optimal sum-rate perfo...
Jia-Jun Wu, Jing Jin, Mengting Lou et al.· IEEE International Symposium...· 0 citations
In multiple-input multiple-output (MIMO) systems, beamforming is a core enabler for concentrating signal power toward targeted users to enhance spectral efficiency and network capacity. However, realizing the full potential of beamforming critically relies on accurate channel state information (CSI). Conventional CSI a...
Yi-Ning Wang, Ha Nan, Le Zhao et al.· IEEE Wireless Communications...· 0 citations
End-edge collaborative inference has emerged as an important trend for deploying deep learning applications on resource-constrained end devices. However, the continuous data interaction between end devices and edge server inevitably raises privacy concerns. Fully homomorphic encryption (FHE) provides a privacy-preservi...
Haiyue Zhang, Yi-Ming Liu, Jing Jin et al.· IEEE Transactions on Cogniti...· 0 citations
A ComBERT-driven service-based RAN UP decoupling method, specifically targeting the functional coupling and redundancy between the PDCP and RLC sublayers is proposed, providing a crucial foundation for on-demand service orchestration in 6G networks tailored to agent services.
Hai-Yu Ding, Shang-Yuan Du, Xin Sun et al.· Italian National Conference...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
