1 citations · 1 across the 2 of their papers we have counts for
7 papers
An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels
Dehao Wu, Maziar Nekovee, Yue Wang
Deep learning (DL) based autoencoder has shown great potential to significantly enhance the physical layer performance. In this paper, we present a DL based autoencoder for interfe…
Some insights into the behaviour of millimetre wave spectrum on key 5G cellular KPIs
Mythri Hunukumbure, Yue Wang, Miurel Tercero +1
This invited paper discusses the challenging task of assessing the millmeter-wave spectrum for the use of 5G mobile systems. 3 key KPIs related to mobile systems, coverage, capacit…
On Overcoming the Impact of Doppler Spectrum in Millimeter-Wave V2I Communications
Javier Lorca, Mythri Hunukumbure, Yue Wang
With the advent of 5G cellular systems there is an increased interest in exploring higher frequency bands above 6 GHz. At these frequencies, beamforming appears as a straightforwar…
Frequency and Quadrature Amplitude Modulation for 5G Networks
Shangbin Wu, Yue Wang, Mohammed Al-Imari +1
The emerging fifth generation (5G) wireless access network, aiming at providing ubiquitous and high data rate connectivity, is envisaged to deploy large number of base stations wit…
Millimeter Wave LOS Coverage Enhancements with Coordinated High-Rise Access Points
Yinan Qi, Mythri Hunukumbure, Yue Wang
Millimetre wave (mm-wave) communication is considered as one of the most important enablers for the fifth generation communication (5G) system to support data rate of Gbps and abov…
Distributed Beam Scheduling for Multi-RAT Coexistence in mm-Wave 5G Networks
Maziar Nekovee, Yinan Qi, Yue Wang
Millimetre-wave communication (licensed or unlicensed) is envisaged to be an important part of the fifth generation (5G) multi-RAT ecosystem. In this paper, we consider the spectru…