Satellite End-to-End Beamforming for Wide Coverage and Capacity
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Solution Overview
Problem
Existing wireless communication systems, particularly satellite communication systems, face challenges in efficiently transmitting data over large geographic areas due to the need for narrow beams to maximize energy transmission and minimize interference.
Innovation Solution
The implementation of end-to-end beamforming systems that use an end-to-end relay to form beams through a central processing system, applying beam weights within the ground network to optimize signal transmission and reception across multiple access nodes and user terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If narrow beams are used to maximize energy transmission to a single relay, then energy efficiency is improved, but the system cannot service large geographic areas effectively
Solution Approach 1:
The patent divides the coverage area into multiple beams, each serving a different geographic region. The satellite uses multiple access nodes with individual beams instead of a single narrow beam, allowing simultaneous service to multiple areas while maintaining energy efficiency in each beam direction
Solution Approach 2:
The patent transitions from a single-dimension narrow beam approach to a multi-dimensional beamforming system. By using multiple access nodes distributed across different locations and forming beams in multiple directions simultaneously, the system expands coverage from one geographic area to multiple areas while maintaining energy efficiency
2Reliability
If narrow beams are used to focus energy to one relay, then signal strength is improved, but system complexity increases due to need for precise beam control
Solution Approach 1:
The patent implements self-organizing beamforming where access nodes automatically adjust their beam weights based on channel conditions and interference levels. The system uses distributed feedback mechanisms where nodes adapt their transmission parameters without centralized control, reducing the complexity of beam management while maintaining signal strength
Solution Approach 2:
The patent dynamically adjusts beamforming parameters such as phase and amplitude weights based on changing channel conditions. By continuously optimizing these parameters, the system maintains reliable signal strength while adapting to different scenarios, reducing the need for complex manual beam control
3Area of stationary object
If traditional satellite beamforming is used to cover large areas, then coverage area is improved, but data capacity decreases due to energy dispersion
Solution Approach 1:
The patent segments the large coverage area into multiple directional beams, each concentrating energy in a specific direction. This allows the satellite to cover a large geographic area while maintaining high data capacity in each beam direction, avoiding the energy dispersion problem of traditional omnidirectional or broad coverage beams
Solution Approach 2:
The patent creates a multi-functional beamforming system where the same satellite infrastructure can simultaneously provide both wide area coverage and high-capacity point-to-point links. By using multiple access nodes that can form different beam patterns, the system achieves both broad coverage and high data capacity without requiring separate systems
4Productivity
If multiple access nodes are used for end-to-end beamforming, then data capacity is improved, but coordination complexity between nodes increases
Solution Approach 1:
The patent uses dynamic parameter adjustment where each access node independently optimizes its beamforming weights based on channel state information. By changing parameters such as phase and amplitude locally at each node based on measured conditions, the system achieves high data capacity without requiring complex centralized coordination of all nodes
Solution Approach 2:
The patent implements feedback mechanisms where access nodes exchange information about channel conditions and interference levels. This distributed feedback allows nodes to autonomously adjust their beamforming parameters to optimize overall system performance, reducing coordination complexity while maintaining high data capacity through adaptive coordination
Data Source
AI summary
Methods and systems are described for providing end-to-end beamforming. For example, end-to-end beamforming systems include end-to-end relays and ground networks to provide communications to user terminals located in user beam coverage areas. The ground segment can include geographically distributed access nodes and a central processing system. Return uplink signals, transmitted from the user terminals, have multipath induced by a plurality of receive/transmit signal paths in the end to end relay and are relayed to the ground network. The ground network, using beamformers, recovers user data streams transmitted by the user terminals from return downlink signals. The ground network, using beamformers generates forward uplink signals from appropriately weighted combinations of user data streams that, after relay by the end-end-end relay, produce forward downlink signals that combine to form user beams.