Haoyu Wang
Beijing Institute of Technology
6 Papers
22 Citations
Haoyu Wang is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Computer science & MIMO-OFDM. The author has an hindex of 1, co-authored 1 publications.
Chat about Author
Papers
QoS-aware energy-efficient optimization for massive MIMO systems in 5G
Yuan Zhou,Dan Li,Haoyu Wang,Ang Yang,Shaozhen Guo +4 more
- 22 Dec 2014
TL;DR: The existence of a unique globally optimal power allocation using Lagrange multiplier method is demonstrated and numerical simulation results show that the number of transmit antennas plays an important role in increasing the energy efficiency.
23
Energy-Efficient Cooperative Secure Communications in mmWave Vehicular Networks Using Deep Recurrent Reinforcement Learning
Ying Ju,Zipeng Gao,Haoyu Wang,Lei Liu,Qingqi Pei,Mianxiong Dong,Shahid Mumtaz,V. C. Leung +7 more
TL;DR: This paper proposes a deep recurrent reinforcement learning-based scheme for energy-efficient cooperative secure transmission in mmWave vehicular networks, maximizing secrecy capacity while minimizing energy consumption through mmWave beam allocation, relay node selection, and transmit power control.
16
Deep Reinforcement Learning Based Joint Beam Allocation and Relay Selection in mmWave Vehicular Networks
TL;DR: In this article , a deep reinforcement learning-based joint beam allocation and relay selection (JoBARS) scheme is proposed to mitigate blocking effects and optimize the total transmission rate of the vehicular network, where the mmWave base station (mmBS) provides multi-user services.
12
DRL-based Beam Allocation in Relay-aided Multi-user MmWave Vehicular Networks
Ying Ju,Haoyu Wang,Yuchao Chen,Lei Liu,Tong-Xing Zheng,Qingqi Pei,Ming Xiao +6 more
- 02 May 2022
TL;DR: This paper proposes a deep reinforcement learning (DRL) based joint beam allocation and relay selection scheme to mitigate the blocking effects and optimize the total communication capacity of vehicular networks and demonstrates the effectiveness of the scheme.
7
Learning Based and Physical-layer Assisted Secure Computation Offloading in Vehicular Spectrum Sharing Networks
Ying Ju,Yuchao Chen,Zhiwei Cao,Haoyu Wang,Lei Liu,Qingqi Pei,Neeraj Kumar +6 more
- 02 May 2022
TL;DR: In this paper , a joint secure offloading and resource allocation (SoRA) scheme based on PLS technology and spectrum sharing architecture is designed to minimize the system processing delay of all vehicular users (VUs) while ensuring the security of information, by jointly optimizing the spectrum access, transmit power and computing resource allocation.
5