D2D Wireless Device Beamforming Controller for Interference Management
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Solution Overview
Problem
Device-to-device (D2D) mesh networks face challenges in managing interference and efficiently adapting their topology due to the lack of centralized control, leading to suboptimal communication performance and network robustness.
Innovation Solution
Implementing dynamic beamforming and beam steering techniques within wireless devices to control antenna configurations, allowing for autonomous peer-to-peer communication and adaptive mesh topology adjustments based on geographical information and application requirements, thereby mitigating interference and optimizing network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic beamforming and beam steering techniques are implemented to enable autonomous peer-to-peer communication, then communication efficiency and network robustness are improved, but device complexity increases
Solution Approach 1:
The patent segments the D2D network into autonomous peer-to-peer communication units, where each device independently performs beamforming and beam steering operations. This segmentation allows devices to operate autonomously without centralized control, improving communication efficiency while distributing the computational complexity across multiple devices rather than concentrating it in a single controller.
Solution Approach 2:
The patent implements dynamic beamforming and beam steering techniques that allow antenna configurations to adapt in real-time based on geographical information and application requirements. This dynamic adjustment optimizes communication efficiency by continuously adapting to changing network conditions, while the automation of these adjustments through algorithms reduces the perceived complexity for users.
2Adaptability or versatility
If autonomous peer-to-peer communication is implemented without centralized control, then network adaptability is improved, but interference management becomes more difficult
Solution Approach 1:
The patent incorporates feedback mechanisms where devices exchange information about their beamforming configurations and geographical positions. This feedback enables autonomous devices to adapt to network conditions and identify interference patterns, allowing them to adjust their transmissions dynamically to mitigate interference while maintaining high adaptability to changing network topologies.
Solution Approach 2:
The patent utilizes parameter changes in beamforming vectors and beam steering angles based on geographical information and received signal quality. By dynamically adjusting these parameters, autonomous devices can adapt their communication patterns to avoid interference while maintaining optimal performance, achieving both adaptability and interference management.
3Reliability
If beamforming information is exchanged between wireless devices, then network robustness is improved, but loss of information increases due to decentralized communication
Solution Approach 1:
The patent implements preliminary exchange of beamforming information and geographical data between devices before establishing peer-to-peer communication links. This preliminary action ensures that devices have the necessary information to configure their beams optimally from the start, reducing the need for subsequent information exchanges and minimizing information loss in decentralized communication.
Solution Approach 2:
The patent uses copying mechanisms where devices share beamforming configuration information and geographical data with their peers. By copying and distributing this essential information across the decentralized network, devices can independently make robust communication decisions without relying on centralized control, thereby maintaining network robustness while minimizing information loss through efficient information replication.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances network robustness and efficiency by reducing interference, adapting to changes in network structure, and optimizing data transmission rates and latency, even in the absence of centralized control.
Implementation Method 1
a beamforming controller configured to control a configuration of the at least two antennas to steer at least one beam for transmission of data based on beamforming information received from a wireless device
Implementation Method 2
steer at least one beam for transmission of data based on beamforming information
Implementation Method 3
a beamforming processor configured to process beamforming information received from a wireless device to control a configuration of an antenna arrangement of the beamforming controller to suppress interference from a wireless device
Data Source
AI summary
A wireless device includes a transceiver including an antenna arrangement with at least two antennas, a communication processor configured to control communications of the wireless device with at least one further wireless device included in a network of wireless devices based on data relating to mutual connections between wireless devices included in the network, a beamforming controller configured to control a configuration of the at least two antennas to steer at least one beam for transmission of data based on beamforming information.