LEO Satellite Communication Research Topics

Integrating two techniques, that is Traffic scheduling and path allocation for communication in Low Earth Orbit (LEO) satellite is done to enhance the performance of the system. If you are eager to learn more about this topic, then you have landed on a right place. You can go through this paper to know more on this topic.

Define Multi-path allocation and traffic scheduling in LEO Satellite

The technique of Traffic scheduling and Multi-path allocation in LEO satellites involves reducing the traffic of communication by splitting them within a satellite network to multiple paths and also to maintain and organize data transmission. By following these methods like using multiple communications path and balancing resources reliability, performance and efficiency of the system can be enhanced. The role of Multi-path allocation is to allocate bandwidth for communication simultaneously into different paths, reduce congestion and to enhance connectivity. Traffic scheduling helps in managing data transmission; adapting to various conditions of network and in prioritizing any critical data. Both the techniques are integrated to produce effective communication in the LEO satellites in any kind of environment.

What is Multi-path allocation and traffic scheduling in LEO Satellite?

Multi-path allocation:

This technique defines the procedure followed by it to manage and distribute the communication traffic effectively in a network of LEO satellite. This strategy will improve reliability and efficiency thus increasing the system performance by reducing congestion.

Traffic scheduling:

This method follows organization of data by maintaining the time. This mainly concentrates on resource utilization by prioritizing the critical data. This technique will address the issues face by LEO satellite and improve the network performance and resilience.

Where Multi-path allocation and traffic scheduling in LEO satellite is used?

In this section we are going to discuss about the uses of Traffic scheduling and Multi-path allocation. This technique is widely used in many fields where they prefer communication to be reliable and effective. Some of the areas which use this technique include Connectivity for Internet of Things (IoT), Remote Sensing and Earth observation, Satellite communication, scientific research applications, Defense and Aerospace applications.

Why Multi-path allocation and traffic scheduling in LEO satellite is proposed? Previous technology issues

This technique was proposed in order to overcome problems from communication protocols like high mobility, resource optimization, improving service delay, transmitting Real-time data from satellites and for considering useful factors in data transmission.

Path selection challenges: The Ad-hoc method used in earlier technology for this process did not handle communication path properly also maintained poor connectivity. This leads to more traffic, low efficiency and the overall performance of the system was reduced.

High mobility: Basically IoT devices have high speed mobility in real-time scenarios, which cannot be attained up with the existing approach. This became a big challenge to provide effective communication.

Additional resource requirement: In order to provide multi-level service, additional resources are required. This became challenging for resource management. To overcome this; a process is required for optimizing resources effectively by avoiding all un-necessary data.

Real-time data transmission: The transmission of data in real-time to a network in satellite communication is affected during the snapshot intervals. This issue should be sorted out for data flow continuously.

Algorithms / Protocols

After knowing about the technology, uses of it and the issues faced by them in the earlier stage, now we are going to learn about the algorithms used for this technology. The algorithms provided for communication in LEO satellite to overcome the previous issues faced by it are: “Adaptive Coding and Modulation” (ACM), “Error detection and Correction algorithms” (EDEC) and “Multi-Agent Double Deep Q Networks (MA2DDQN) with Multi-Objective Bayesian Optimization” (MOBO).

Simulation results / Parameters

The approaches which were proposed to overcome the issues faced by communication in LEO satellite in the above section are tested using different methodologies to analyze its performance. The comparison is done by using metrics like End-to-End delay, “Time step Vs. Delay”, “Episode index Vs. Number of discovered paths”, “Episode vs. Delay”, “Packet loss rate (%)”, Residual energy, and “Throughput vs. Link load ratio”.

Dataset LINKS / Important URL

Here are some of the links provided for you below to gain more knowledge about communication in LEO satellite which can be useful for you:

Multi-path allocation and traffic scheduling in LEO satellite Applications

In this next section we are going to discuss about the applications of communication in LEO satellite technology. This technology has been employed in many domains for improving reliability and efficiency of communication. This can be used in different applications like Satellite communication, Remote Sensing, emergency communication, disaster response and scientific research mission and earth observation.

Topology

The topology of LEO satellite in this case includes integrating two architectures that is Traffic scheduling and Multi-path allocation. This method has significance such as managing resources, improving reliability, efficiently transfer data and more.

Environment

The environment for this communication in LEO satellite involves Heuristic algorithm and DRL which has satellite constellation, data transmission, decision making mechanism and communication infrastructure. The use of Heuristic algorithm and DRL make the system adaptable to dynamic conditions in the environment of LEO satellite.

Simulation Tools

Here we provide some simulation software for Deep Learning system, which is established with the usage of MATLAB R2020b and along with Network simulator version 3.26 or above.

Results

After going through this research paper based on Traffic scheduling and path allocation in LEO satellite, you can now understood in detail about this technology, applications of this technology, different topologies of it, algorithms followed by it also about the limitations and how it can be overcome.

LEO Satellite Communication Research Ideas

Channel Allocation for Mega LEO Satellite Constellations in the MEO–LEO Networked Telemetry System
Effect of Rain Attenuation on the Availability of LEO Satellite Communication System
Cooperative Beam forming-Assisted LEO Satellite Positioning for V2X
LEO Satellite-Based Space Solar Power Systems
Research on LPWAN Direct to Satellite IoT: A Survey Technology and Performance on LEO Satellite
High-Reliability, Low-Latency, and Load-Balancing Multipath Routing for LEO Satellite Networks
Broadband Connectivity for Handheld Devices via LEO Satellites: Is Distributed Massive MIMO the Answer?
Routing Algorithm for AD Hoc Networks of LEO Satellites based on OSPF
Traffic Offloading Probability for Integrated LEO Satellite-Terrestrial Networks
Multimodal LSTM forecasting for LEO Satellite Communication Terminal access
Performance Evaluation of Multi-Attribute Conditional Handover in LEO Satellite Networks
A New GNSS-based Channel Estimation Strategy for LEO Satellite Communication Systems
Joint Communication, Computing, and Caching Resource Allocation in LEO Satellite MEC Networks
Assessment of the Doppler Effect on Transmission Characteristics in LEO Satellite Networks
Delivering Multimedia Services in LEO satellite NTNs Supported by Backward and Frontward ISL during Feeder Link Switch-Over
On-Board Orientation Control of a Steerable Antenna for Ground Station Tracking on LEO Satellites
Failure-Aware Service Request Protection in LEO Satellite Constellation Networks
Routing Based on Dynamic Reliability in Massive LEO Satellite Optical Networks
Compact Dual Linear Polarized Antenna Feed for LEO Satellites Based on Quad Ridge Waveguide
Frequency Asynchronous NOMA in LEO Satellite Communication Systems
Weighted Caching Strategy for LEO Satellite Communication Systems
Block-Based Kalman Channel Tracking for LEO Satellite Communication with Massive MIMO
NOMA MIMO Downlink in LEO Satellites
Two-Step Random Access Optimization for 5G-and-Beyond LEO Satellite Communication System: A TD3-Based MsgA Channel Allocation Strategy
Optimality Analysis and Efficient Scheduling for Massive IoT-LEO Satellite Networks
RTT-Based Localization of IoRT Nodes by a Single LEO Satellite: A Geometric Framework
Design of Joint Device and Data Detection for Massive Grant-Free Random Access in LEO Satellite Internet of Things
Channel Estimation with DnCNN in Massive MISO LEO Satellite Systems
Large-scale Heterogeneous Ultra-dense LEO Satellite-based Cellular Networks
Simultaneous LEO Satellite Tracking and Differential LEO-Aided IMU Navigation
Navigation with Multi-Constellation LEO Satellite Signals of Opportunity: Starlink, OneWeb, Orbcomm, and Iridium
Beam Position Design for Low-latency LEO Satellite Communications with Beam Hopping
Doppler Positioning of LEO Satellites Based on Orbit Error Compensation and Weighting
Age-Optimized Multihop Information Update Mechanism on the LEO Satellite Constellation via Continuous Time-Varying Graphs
A Multi-Region Division Routing Algorithm Based on Fuzzy-Shortest-Path-First for LEO Satellite Networks
A Review of LEO Satellite Network Security Research
Hardware Doppler shift emulation and compensation for LoRa LEO satellite communication
Data Collection Platform Design using LEO Satellite-based LoRa for Disaster Management in Indonesia
A Deep Reinforcement Learning based Routing Scheme for LEO Satellite Networks in 6G
Dynamic Downlink Interference Management in LEO Satellite Networks without Direct Communications
Coverage and Rate Analysis of LEO Satellite-to-Airplane Communication Networks in Terahertz Band
IoT space communication Experiment in UHF frequency with LEO satellite
Resource Allocation with Interference Avoidance in Beam-Hopping Based LEO Satellite Systems
Coverage Probability Analysis of LEO Satellite Communication Systems with Directional Beam forming
Low-Noise Si/SiGe HBT for LEO Satellite User Terminals in Ku-Ka Bands
Non-Cooperative LEO Satellite Orbit Determination Using Pseudo range Based on Single Station
Sybil Attack Models of MM-Wave Communication for LEO Satellite Network in Cybersecurity
System-Level Evaluation of Beam Hopping in NR-Based LEO Satellite Communication System
Validation and Implementation of Key Technologies for the Application of 5G NR in LEO Satellite Communication
Q-Band MPM for LEO Satellite Application