Wenmao Zhou
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wenmao Zhou has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
Feng Tian
School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing China
2 shared publications- Qi Zhang
Beijing University of Posts and Telecommunications (BUPT)
2 shared publications Qinghua Tian
School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing China
2 shared publicationsRan Gao
Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing China
2 shared publicationsXiangjun Xin
School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing China
2 shared publicationsXishuo Wang
School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing China
2 shared publications
Latest Publications
- Open Access
Tent–PSO-Based Unmanned Aerial Vehicle Path Planning for Cooperative Relay Networks in Dynamic User Environments
Unmanned aerial vehicles (UAVs) equipped with communication devices are easy to deploy and can serve as temporary mobile communication stations, covering dynamic ground users and establishing communication links. The proper planning of UAV paths can improve user coverage while maintaining communication quality. The traditional particle swarm optimization (PSO) algorithm exhibits strong global search capabilities; however, it suffers from challenges such as uneven search coverage owing to the random distribution of the initial particle positions. Additionally, improper parameter selection often leads to premature convergence to local optima. This study proposes a method for multi-UAV coverage of dynamic users by combining Tent chaotic mapping with PSO (Tent–PSO). By using Tent chaotic mapping to adjust a UAV’s speed and position, the method ensures that particles are evenly distributed in the search space. Simulation results demonstrate that Tent–PSO improves the coverage of the global optimal solution by 10% and increases throughput by at least 37%, confirming its effectiveness in covering dynamic user scenarios.
Open AccessTent–PSO-Based Unmanned Aerial Vehicle Path Planning for Cooperative Relay Networks in Dynamic User Environments
Unmanned aerial vehicles (UAVs) equipped with communication devices are easy to deploy and can serve as temporary mobile communication stations, covering dynamic ground users and establishing communication links. The proper planning of UAV paths can improve user coverage while maintaining communication quality. The traditional particle swarm optimization (PSO) algorithm exhibits strong global search capabilities; however, it suffers from challenges such as uneven search coverage owing to the random distribution of the initial particle positions. Additionally, improper parameter selection often leads to premature convergence to local optima. This study proposes a method for multi-UAV coverage of dynamic users by combining Tent chaotic mapping with PSO (Tent–PSO). By using Tent chaotic mapping to adjust a UAV’s speed and position, the method ensures that particles are evenly distributed in the search space. Simulation results demonstrate that Tent–PSO improves the coverage of the global optimal solution by 10% and increases throughput by at least 37%, confirming its effectiveness in covering dynamic user scenarios.
- 29 March 2021
- Published by Wiley in Microwave and Optical Technology Letters
- Vol. 63 (7) , 1984-1989
Fast‐adaptive weighted constellation designs based on hybrid constellation shaping for long‐haul optical fiber communication systems
- 29 March 2021
- Published by Wiley in Microwave and Optical Technology Letters
- Vol. 63 (7) , 1984-1989
Fast‐adaptive weighted constellation designs based on hybrid constellation shaping for long‐haul optical fiber communication systems
- 18 March 2021
- Published by Wiley in Microwave and Optical Technology Letters
- Vol. 63 (9) , 2269-2273
Adaptive weighted 61‐QAM based on geometric shaping in coherent optical communication utilizing K‐Means algorithm
A novel adaptive weighted geometric‐shaped (GS) 61 quadrature amplitude modulation (QAM) constellation is proposed in order to mitigate the nonlinear damage and increase the transmission distance. By introducing an adaptive weighting factor related to Kerr effect and fiber transmission distance in concentric regular hexagon constellation, the overlapping problem of the outer constellation points induced by nonlinear damage was reduced. The simulation results show that the proposed GS‐61QAM outperformed uniform 64QAM and has more obvious advantages in long‐haul optical transmission system. For a 120‐Gb/s coherent optical communication system, compared with uniform 64QAM, the proposed algorithm can obtain about 4.1 dB optical signal‐to‐noise (OSNR) gain at the BER of 10−2. Moreover, in order to further improve the system tolerance of nonlinearity, a scheme of adaptive weighted GS‐61QAM in coherent optical communication system utilizing K‐Means algorithm is proposed, the proposed scheme outperforms the traditional uniform 64QAM communication system by 5 dB in OSNR at the BER of 10−2.
- 18 March 2021
- Published by Wiley in Microwave and Optical Technology Letters
- Vol. 63 (9) , 2269-2273
Adaptive weighted 61‐QAM based on geometric shaping in coherent optical communication utilizing K‐Means algorithm
A novel adaptive weighted geometric‐shaped (GS) 61 quadrature amplitude modulation (QAM) constellation is proposed in order to mitigate the nonlinear damage and increase the transmission distance. By introducing an adaptive weighting factor related to Kerr effect and fiber transmission distance in concentric regular hexagon constellation, the overlapping problem of the outer constellation points induced by nonlinear damage was reduced. The simulation results show that the proposed GS‐61QAM outperformed uniform 64QAM and has more obvious advantages in long‐haul optical transmission system. For a 120‐Gb/s coherent optical communication system, compared with uniform 64QAM, the proposed algorithm can obtain about 4.1 dB optical signal‐to‐noise (OSNR) gain at the BER of 10−2. Moreover, in order to further improve the system tolerance of nonlinearity, a scheme of adaptive weighted GS‐61QAM in coherent optical communication system utilizing K‐Means algorithm is proposed, the proposed scheme outperforms the traditional uniform 64QAM communication system by 5 dB in OSNR at the BER of 10−2.