-
Chapter and Conference Paper
Multi-path Transmission Strategy for Deterministic Networks
With the rapid growth of internet traffic, network congestion becomes more and more severe, which causes massive packets loss. The reliability and delay of data transmission needs to be guaranteed in real-time...
-
Chapter and Conference Paper
Q-Learning Based Multi-objective Optimization Routing Strategy in UAVs Deterministic Network
In disaster areas, Flying Ad-Hoc Network (FANET) is a critical method for emergency communication. However, the limited payload capacity of Unmanned Aerial Vehicle (UAV) leads to communication link interruptio...
-
Article
Open AccessJoint task offloading and resource allocation in mobile edge computing with energy harvesting
Mobile edge computing (MEC) is considered to be a promising technique to enhance the computation capability and reduce the energy consumption of smart mobile devices (SMDs) in the sixth-generation (6G) network...
-
Article
Open AccessLEO laser microwave hybrid inter-satellite routing strategy based on modified Q-routing algorithm
Low earth orbit (LEO) satellite communication networks require huge load capacity and information processing speed to carry global communication traffic. Inter-satellite links and the on-board processing are t...
-
Chapter and Conference Paper
A Multi-station Signal Sorting Method Based on Time Difference Pair and Azimuth Information
Current sorting methods based on time difference of arrival (TDOA) can not concurrently realize the high sorting accuracy and low computational complexity with pulse loss and interference. This paper proposes ...
-
Chapter and Conference Paper
A Dynamic Task Assignment Strategy for Emitter Reconnaissance and Positioning through Use of UAV Swarms
With three advantages of information sharing, system survival, and cost-effective exchange, Unmanned Aerial Vehicle (UAV) swarms can perform tasks at risk, such as emitter reconnaissance and positioning. Due t...
-
Chapter and Conference Paper
A Multi-emitter Localization Method Based on Improved Sparse Bayesian Learning Under Multi-station Association
Compressive Sensing (CS) can reduce the target parameter space search complexity and enhance the localization robustness under small-sample noisy observations. Therefore, CS is becoming the mainstream method f...
-
Chapter and Conference Paper
A Radar Working Mode Recognition Algorithm with Approximate Coherent Metric and Multi-Agent PSR Model
Multifunctional radar(MFR) has non-cooperative, narrow beam, and flexible agile characteristics. The traditional radar feature parameters and syntactic modeling methods are difficult to make the information of...
