Satellite-to-Ground Edge Computing Task Offloading via High-Altitude Platform
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Solution Overview
Problem
Existing mobile edge computing (MEC) systems face high transmission energy consumption and long communication latency due to the lack of multi-antenna MIMO technology and full frequency reuse, with satellite-assisted high-altitude platforms not being considered for offloading computing tasks.
Innovation Solution
The method involves offloading computing tasks from ground user equipment to a high-altitude platform using MIMO technology, which then relays the tasks to a Low Earth Orbit Satellite (LEO SAT) for processing, employing MIMO pre-coding and resource allocation to optimize energy consumption and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If computation offloading is performed using single-antenna communication and traditional multiple access schemes (FDMA, OFDMA, TDMA), then the system is simple to implement, but the transmission energy consumption is high and communication latency is long
Solution Approach 1:
The patent changes the transmission parameters by introducing MIMO technology with multiple antennas at both ground user equipment and high-altitude platforms, transforming the single-antenna communication system into a multi-antenna system. This parameter change enables spatial multiplexing and beamforming, which improve spectrum efficiency and reduce transmission energy consumption while maintaining implementation feasibility through standardized MIMO procedures
Solution Approach 2:
The patent introduces a high-altitude platform (such as a balloon or drone) as an intermediary node between ground user equipment and LEO satellites. This intermediary enables relay communication and provides additional transmission paths, allowing the system to achieve lower transmission energy consumption and latency by utilizing the high-altitude platform's position and computing resources
2Ease of manufacture
If computation offloading is performed using single-antenna communication and traditional multiple access schemes (FDMA, OFDMA, TDMA), then the implementation is simple, but the spectrum efficiency is limited
Solution Approach 1:
The patent transforms the communication system from single-antenna to multi-antenna MIMO configuration, changing the fundamental transmission parameter. This enables the system to exploit spatial dimensions for multiplexing multiple data streams simultaneously, thereby dramatically improving spectrum efficiency while maintaining implementation simplicity through standardized MIMO signal processing techniques
Solution Approach 2:
The patent adds the spatial dimension to the traditional frequency and time dimensions by implementing MIMO technology. By utilizing multiple antennas in different spatial positions, the system creates additional transmission channels in the spatial domain, enabling spatial multiplexing that increases spectrum efficiency without complicating the implementation beyond standard wireless communication practices
3Stability of the object's composition
If edge servers are installed in fixed positions on the ground (e.g., cellular base stations), then the infrastructure is stable, but the transmission energy consumption is high and communication latency is long
Solution Approach 1:
The patent introduces dynamic elements to the traditionally static edge computing infrastructure by deploying high-altitude platforms (balloons, drones) that can move and reposition themselves. These dynamic nodes provide flexible communication paths to LEO satellites, enabling the system to adapt to changing user locations and channel conditions while reducing transmission energy consumption and latency compared to fixed ground-based edge servers
4Stability of the object's composition
If edge servers are installed in fixed positions on the ground (e.g., cellular base stations), then the infrastructure is stable, but the communication latency is long
Solution Approach 1:
The patent introduces high-altitude platforms as intermediary nodes between ground user equipment and LEO satellites. These intermediaries are positioned at optimal altitudes to minimize the total communication distance and latency while maintaining infrastructure stability. The high-altitude platforms perform local processing and forwarding, reducing the time required for computation offloading compared to direct ground-based server connections
Data Source
AI summary
An offloading method, of a satellite-to-ground edge computing task, assisted by a satellite and a high-altitude platform can offload a computing task of a ground user equipment (GUE) to a low earth-orbit satellite (LEO SAT), to meet a computing requirement of the GUE and to reduce latency and energy consumption. The method includes four main steps: 1. The GUE selects an associated high-altitude platform. 2. The GUE uses multi-input and multi-output (MIMO) transmission to offload the computing task to the high-altitude platform. 3. The high-altitude platform may also use the MIMO transmission to offload the computing task of the GUE to the LEO SAT. 4. The high-altitude platform and the LEO SAT cooperate to process the computing task of GUE, and reasonably allocate a computing resource to reduce energy consumption; and in MIMO edge computing, the GUE or the high-altitude platform uses the same time-domain and frequency-domain resource.