activity
20082024
most citedFog Computing based Radio Access Networks: Issues and Challenges

683 citations · 3.6k across the 61 of their papers we have counts for

collaborators
Showing 2014 · cs.ITShow all

10 papers · 2 filters

cs.IT2014

Network Coded Multi-Hop Wireless Communication Networks: Channel Estimation and Training Design

Mugen Peng, Qiang Hu, Xinqian Xie +2

User cooperation based multi-hop wireless communication networks (MH-WCNs) as the key communication technological component of mobile social networks (MSNs) should be exploited to…

cs.IT2014★ 480 cited

System Architecture and Key Technologies for 5G Heterogeneous Cloud Radio Access Networks

Mugen Peng, Yong Li, Zhongyuan Zhao +1

Compared with the fourth generation (4G) cellular systems, the fifth generation wireless communication systems (5G) are anticipated to provide spectral and energy efficiency growth…

cs.IT2014★ 340 cited

Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks

Mugen Peng, Kecheng Zhang, Jiamo Jiang +2

Taking full advantages of both heterogeneous networks (HetNets) and cloud access radio access networks (CRANs), heterogeneous cloud radio access networks (H-CRANs) are presented to…

cs.IT2014

Application of Smart Antenna Technologies in Simultaneous Wireless Information and Power Transfer

Zhiguo Ding, Caijun Zhong, Derrick Wing Kwan Ng +4

Simultaneous wireless information and power transfer (SWIPT) is a promising solution to increase the lifetime of wireless nodes and hence alleviate the energy bottleneck of energy…

cs.IT2014★ 97 cited

Joint Power Splitting and Antenna Selection in Energy Harvesting Relay Channels

Zheng Zhou, Mugen Peng, Zhongyuan Zhao +1

The simultaneous wireless transfer of information and power with the help of a relay equipped with multiple antennas is considered in this letter, where a harvest-and-forward strat…

cs.IT2014★ 17 cited

Training Design and Channel Estimation in Uplink Cloud Radio Access Networks

Xinqian Xie, Mugen Peng, H. Vincent Poor

To decrease the training overhead and improve the channel estimation accuracy in uplink cloud radio access networks (C-RANs), a superimposed-segment training design is proposed. Th…