activity
20192026
most citedCoMP-Enabled RAN Slicing for Tactile Internet

2 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.NI20262 cited

Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems

Xiaoyu Xing, Dingyi Lu, Peng Yang +3

High altitude platforms (HAPs) are emerging as a key enabler for 6G coverage, yet limited energy must be split between propulsion and communications. Most prior HAP studies ignore…

eess.SP2025

Adaptive Subarray Segmentation: A New Paradigm of Spatial Non-Stationary Near-Field Channel Estimation for XL-MIMO Systems

Shuhang Yang, Puguang An, Peng Yang +3

To address the complexities of spatial non-stationary (SnS) effects and spherical wave propagation in near-field channel estimation (CE) for extremely large-scale multiple-input mu…

cs.NI20212 cited

CoMP-Enabled RAN Slicing for Tactile Internet

Peng Yang, Xing Xi, Tony Q. S. Quek +1

Tactile Internet (TI) enables the omnipresence and exchange of tactile experiences across the global via the ultra-reliable and ultra-responsive connectivity. This article argues f…

cs.NI2019

Repeatedly Energy-Efficient and Fair Service Coverage: UAV Slicing (Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing)

Peng Yang, Xing Xi, Tony Q. S. Quek +3

Unmanned aerial vehicle (UAV) networks are convinced as a significant part of 5G and emerging 6G wireless networks. UAV slicing is a promising proposal of converging different serv…

cs.NI2019

How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?

Peng Yang, Xing Xi, Tony Q. S. Quek +3

Future wireless networks are convinced to provide flexible and cost-efficient services via exploiting network slicing techniques. However, it is challenging to configure network sl…