Relay Selection Using Historical Energy Data
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Solution Overview
Problem
Conventional wireless networks face challenges such as high channel fading, high system power consumption, and poor received signal quality due to environmental limitations, which affect communication efficiency and reliability, especially in collaborative communication systems where random relay selection algorithms are susceptible to channel variations and external noise.
Innovation Solution
An apparatus and method for selecting relay communication devices based on historical and current energy information of candidate devices using predictive models, such as ARMA, to determine optimal relay devices and optimize power allocation, thereby enhancing network efficiency and extending network lifecycle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If random relay selection algorithm is used in collaborative communication, then device complexity is reduced, but reliability deteriorates due to susceptibility to channel variations and external noise
Solution Approach 1:
The system performs preliminary actions by collecting historical energy information and channel state information from candidate relay devices before making relay selection decisions. This advance preparation enables more reliable selections by considering past performance patterns and current channel conditions, rather than relying on random selection.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring energy consumption patterns, channel state information, and communication performance of relay devices. This feedback is used to dynamically adjust relay selection decisions, ensuring higher reliability while adapting to changing network conditions.
2Use of energy by moving object
If conventional relay selection is used, then energy information processing is minimized, but productivity deteriorates due to high power consumption and poor network efficiency
Solution Approach 1:
The system applies dynamics by making relay selection adaptive rather than static. It continuously updates selections based on real-time energy information and channel conditions, allowing the network to dynamically optimize for both energy efficiency and productivity according to current operational requirements.
Solution Approach 2:
The system changes parameters by incorporating energy consumption metrics and historical performance data into the relay selection process. This parameter-based approach enables the network to identify and select relays that offer optimal balance between energy efficiency and communication performance.
3Reliability
If historical energy information is collected and analyzed, then reliability is improved through better relay selection, but device complexity increases due to information processing requirements
Solution Approach 1:
The system extracts only the most relevant features from historical energy information and channel state data, such as energy consumption patterns and reliability metrics. This selective extraction reduces processing complexity while maintaining the ability to make accurate relay selection decisions based on critical performance indicators.
Data Source
AI summary
An apparatus and method for wireless communication. The apparatus includes processing circuitry: configured to receive a relay establishment request from a source communication device; configured to acquire historical energy information and current energy information about a candidate communication device as a relay candidate, and to determine one or more relay communication devices to be used as a relay based on the acquired information; and configured to send information about the relay establishment to the one or more relay communication devices, the source communication device, and a destination communication device.