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20202024
most citedReinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

73 citations · 215 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.IT2024

Channel Charting-assisted Non-orthogonal Pilot Allocation for Uplink XL-MIMO Transmission

Haohong Che, Li You, Jue Wang +3

Extremely large-scale multiple-input multiple-output (XL-MIMO) is critical to future wireless networks. The substantial increase in the number of base station (BS) antennas introdu…

cs.IT2024★ 38 cited

An I2I Inpainting Approach for Efficient Channel Knowledge Map Construction

Zhenzhou Jin, Li You, Jue Wang +2

Channel knowledge map (CKM) has received widespread attention as an emerging enabling technology for environment-aware wireless communications. It involves the construction of data…

cs.IT2024

On the Downlink Average Energy Efficiency of Non-Stationary XL-MIMO

Jun Zhang, Jiacheng Lu, Jingjing Zhang +3

Extra large-scale multiple-input multiple-output (XL-MIMO) is a key technology for future wireless communication systems. This paper considers the effects of visibility region (VR)…

cs.IT2022★ 30 cited

Rate-Splitting Multiple Access for Uplink Massive MIMO With Electromagnetic Exposure Constraints

Hanyu Jiang, Li You, Ahmed Elzanaty +4

Over the past few years, the prevalence of wireless devices has become one of the essential sources of electromagnetic (EM) radiation to the public. Facing with the swift developme…

cs.IT2022★ 22 cited

Hybrid RIS and DMA Assisted Multiuser MIMO Uplink Transmission With Electromagnetic Exposure Constraints

Hanyu Jiang, Li You, Jue Wang +2

In the fifth-generation and beyond era, reconfigurable intelligent surface (RIS) and dynamic metasurface antennas (DMAs) are emerging metamaterials keeping up with the demand for h…

cs.IT2022★ 73 cited

Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence

Peng Wei, Kun Guo, Ye Li +5

Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its uncertaint…

cs.IT2020★ 52 cited

Energy Efficiency Optimization for Downlink Massive MIMO With Statistical CSIT

Li You, Jiayuan Xiong, Xinping Yi +3

We investigate energy efficiency (EE) optimization for single-cell massive multiple-input multiple-output (MIMO) downlink transmission with only statistical channel state informati…