output
20142021
most citedA Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

720 citations

10 papers

cs.NI2021

Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges

Liqiang Zhao, Guorong Zhou, Gan Zheng +3

Multi-access edge computing (MEC) is capable of meeting the challenging requirements of next-generation networks, e.g., 6G, as a benefit of providing computing and caching capabili…

cs.NI2021★ 188 cited

A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces

Ruiqi Liu, Qingqing Wu, Marco Di Renzo +1

With both the standardization and commercialization completed in an unforeseen pace for the 5th generation (5G) wireless network, researchers, engineers and executives from the aca…

cs.LG2018★ 1 cited

Neural CRF transducers for sequence labeling

Kai Hu, Zhijian Ou, Min Hu +1

Conditional random fields (CRFs) have been shown to be one of the most successful approaches to sequence labeling. Various linear-chain neural CRFs (NCRFs) are developed to impleme…

cs.CL2018★ 2 cited

Elastic CRFs for Open-ontology Slot Filling

Yinpei Dai, Yichi Zhang, Hong Liu +3

Slot filling is a crucial component in task-oriented dialog systems that is used to parse (user) utterances into semantic concepts called slots. An ontology is defined by the colle…

cs.NE2018★ 3 cited

Deep Learning with Long Short-Term Memory for Time Series Prediction

Yuxiu Hua, Zhifeng Zhao, Rongpeng Li +3

Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies…

cs.NI2018★ 7 cited

Deep Learning-based Intelligent Dual Connectivity for Mobility Management in Dense Network

Chujie Wang, Zhifeng Zhao, Qi Sun +1

Ultra-dense network deployment has been proposed as a key technique for achieving capacity goals in the fifth-generation (5G) mobile communication system. However, the deployment o…

cs.NI2017★ 4 cited

Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory

Yuxiu Hua, Zhifeng Zhao, Rongpeng Li +3

Traffic prediction plays an important role in evaluating the performance of telecommunication networks and attracts intense research interests. A significant number of algorithms a…

cs.IT2016★ 720 cited

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

Stefano Buzzi, Chih-Lin I, Thierry E. Klein +3

After about a decade of intense research, spurred by both economic and operational considerations, and by environmental concerns, energy efficiency has now become a key pillar in t…

cs.IT2014★ 6 cited

Secrecy Outage Probability Analysis of Multi-User Multi-Eavesdropper Wireless Systems

Yulong Zou, Jia Zhu, Gongpu Wang +1

In this paper, we explore the physical-layer security of a multi-user wireless system that consists of multiple users intending to transmit to a base station (BS), while multiple e…

cs.IT2014★ 1 cited

Transceiver designs with matrix-version water-filling architecture under mixed power constraints

Chengwen Xing, Zesong Fei, Yiqing Zhou +2

In this paper, we investigate the multiple-input multiple-output (MIMO) transceiver design under an interesting power model named mixed power constraints. In the considered power m…