A5101619104- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Distributed Control Multi-Agent Systems
- Energy Harvesting in Wireless Networks
- IoT and Edge/Fog Computing
- UAV Applications and Optimization
- Advanced Memory and Neural Computing
- Blockchain Technology Applications and Security
- Modular Robots and Swarm Intelligence
- Advanced Wireless Communication Techniques
- Software-Defined Networks and 5G
- Optical Wireless Communication Technologies
- Advanced Data and IoT Technologies
- Video Surveillance and Tracking Methods
- Energy Efficient Wireless Sensor Networks
- Smart Parking Systems Research
- Advanced Optical Network Technologies
- Optimization and Search Problems
Southwest University
2024
Beijing Institute of Technology
2018-2021
With the increasing demands for large-scale computing in Internet of Things network, fog emerges as a potential solution. However, time and energy costs are bottlenecks developing computing. In this paper, we investigate green by maximizing network utility function considering efficiency with constraints power interference. The proposed problem is mixed integer nonlinear programming. To deal such kind problems, design an algorithm framework to solve distributed parallel manner. outer loop...
As an emerging technique, unmanned aerial vehicle (UAV) aided multi-access edge computing (MEC) network has been improving the performance of communication network. The novel architecture is beneficial for coverage, flexibility, and reliability. However, reducing latency a critical issue. In this paper, we design UAV-aided with millimeter wave (mmWave) backhaul to achieve computing. routing problem formulated solved first obtain optimal routes through ad hoc link all users. Then, formulate...
Recently, unmanned aerial vehicle (UAV) has been considered as a promising technique in mobile edge computing networks, and enhances the performances of ultra-reliable low-latency services. In this paper, we propose UAV-aided low latency network with millimeter wave (mmWave) backhaul. There are two types communication links our network, UAV link ad hoc link. We jointly consider resource allocation trajectory design proposed problem, which is non-convex mixed integer nonlinear programming...
Network function virtualization (NFV) has emerged as a new technology to reduce the cost of hardware deployment. It is an architecture that using virtualized functions run on virtual machine achieve services instead specific hardware. Although NFV brings more opportunities enhance flexibility and efficiency network, resource allocation problems should be well taken into consideration. In this paper, we investigate network (VNF) problem minimize operation for different services. Both setting...
To handle the data explosion in era of internet things (IoT), it is interest to investigate decentralized network, with aim at relaxing burden central server along keeping privacy. In this work, we develop a fully federated learning (FL) framework an inexact stochastic parallel random walk alternating direction method multipliers (ISPW-ADMM). Performing more communication efficient and enhanced privacy preservation compared current state-of-the-art, proposed ISPW-ADMM can be partially immune...
To satisfy the rapidly growing demands of wireless communications, new structures have been proposed for fifth-generation (5G) mobile communication networks, such as cloud radio access networks (C-RANs), which advantages including high energy efficiency, large network capacity, and flexibility. This paper concentrates on problem remote head (RRH) activation, user association, power allocation in C-RANs. tackle with l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Blockchain is widely adopted in many applications as a promising distributed data management framework. However, the high demanding on computing and communication resources may pose bottleneck for blockchain to be applied wireless connected users, which are assumed main constituent part future digital society. In this paper, order solve problems of insufficient faced "Mining" process, we consider system based mobile edge (MEC) network. The computation-intensive tasks users offloaded MEC...
We investigate the energy-efficient channel estimation in wireless networks, where one pilot is inserted for every several data slots to estimate coefficients. Both state information error and time-varying model are considered. first formulate problem into a mixed integer nonlinear programming (MINLP) problem, variables include transmitted power number of slots. Due NP-hard nature, we degenerate MINLP series non-concave optimization problems without variables. Then solve these using...
The alternating direction method of multipliers (ADMM) has recently been recognized as a promising approach for large-scale machine learning models. However, very few results study ADMM from the aspect communication costs, especially jointly with running time. In this letter, we investigate efficiency and time in solving consensus optimization problem over decentralized networks. We first review effort random walk (W-ADMM), which reduces costs at expense To accelerate convergence speed...