User profiles for Kaibin Huang
Kaibin HuangProfessor, Dept. of EEE, The University of Hong Kong; IEEE Fellow; ISI Highly Cited … Verified email at eee.hku.hk Cited by 21346 |
A survey on mobile edge computing: The communication perspective
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …
Energy-efficient resource allocation for mobile-edge computation offloading
Mobile-edge computation offloading (MECO) off-loads intensive mobile computation to clouds
located at the edges of cellular networks. Thereby, MECO is envisioned as a promising …
located at the edges of cellular networks. Thereby, MECO is envisioned as a promising …
Toward an intelligent edge: Wireless communication meets machine learning
The recent revival of AI is revolutionizing almost every branch of science and technology.
Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …
Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …
Enabling wireless power transfer in cellular networks: Architecture, modeling and deployment
Microwave power transfer (MPT) delivers energy wirelessly from stations called power beacons
(PBs) to mobile devices by microwave radiation. This provides mobiles practically infinite …
(PBs) to mobile devices by microwave radiation. This provides mobiles practically infinite …
Broadband analog aggregation for low-latency federated edge learning
To leverage rich data distributed at the network edge, a new machine-learning paradigm,
called edge learning, has emerged where learning algorithms are deployed at the edge for …
called edge learning, has emerged where learning algorithms are deployed at the edge for …
Energy efficient mobile cloud computing powered by wireless energy transfer
Achieving long battery lives or even self sustainability has been a long standing challenge
for designing mobile devices. This paper presents a novel solution that seamlessly integrates …
for designing mobile devices. This paper presents a novel solution that seamlessly integrates …
Simultaneous information and power transfer for broadband wireless systems
Far-field microwave power transfer (MPT) will free wireless sensors and other mobile devices
from the constraints imposed by finite battery capacities. Integrating MPT with wireless …
from the constraints imposed by finite battery capacities. Integrating MPT with wireless …
Energy harvesting wireless communications: A review of recent advances
This paper summarizes recent contributions in the broad area of energy harvesting wireless
communications. In particular, we provide the current state of the art for wireless networks …
communications. In particular, we provide the current state of the art for wireless networks …
Distributed learning in wireless networks: Recent progress and future challenges
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
applications to efficiently analyze various types of data collected by edge devices for …
Opportunistic wireless energy harvesting in cognitive radio networks
Wireless networks can be self-sustaining by harvesting energy from ambient radio-frequency
(RF) signals. Recently, researchers have made progress on designing efficient circuits and …
(RF) signals. Recently, researchers have made progress on designing efficient circuits and …