Mobile Terminal Antenna Mode Selection for Energy Optimization
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Solution Overview
Problem
Conventional mobile terminals with multiple antennas consume more energy during signal transmission and reception, as existing methods fail to optimize energy usage considering all factors such as network operation mode, channel environment, and quality of service (QoS).
Innovation Solution
A mobile terminal with a mode selection unit that chooses a modulation method and antenna mode based on channel information and QoS, using pre-prepared lookup table groups to minimize energy consumption, allowing for dynamic adjustment according to different network operation modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple antennas are used for signal transmission and reception, then communication speed and data processing capability are improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic selection of antenna modes and modulation methods based on real-time channel conditions and QoS requirements. The system transitions between different antenna configurations (e.g., using all antennas, subset of antennas, or single antenna) and adjusts modulation schemes adaptively, rather than operating in a fixed high-performance state. This dynamic adaptation allows the system to maintain high communication speed when conditions permit while reducing energy consumption when channel conditions deteriorate or QoS requirements are met with lower resources.
Solution Approach 2:
The system changes operational parameters including antenna mode selection, modulation method selection, and transmit power levels based on channel quality indicators and QoS metrics. By adjusting these parameters dynamically, the system optimizes the trade-off between communication performance and energy consumption, selecting from multiple operational states rather than being locked into a single high-energy configuration.
2Use of energy by moving object
If conventional energy reduction methods are used, then energy consumption is reduced for predetermined factors, but optimization cannot consider all factors including network operation mode, channel environment, and QoS
Solution Approach 1:
The patent creates a universal energy optimization framework that simultaneously considers multiple factors including network operation mode (ad-hoc, infrastructure, mesh), channel environment characteristics (signal-to-noise ratio, fading conditions), and QoS requirements (data rate, latency, reliability). The system integrates these diverse factors into a unified decision-making process for selecting antenna modes and modulation methods, making the energy optimization applicable across various operational scenarios rather than being limited to predetermined conditions.
Solution Approach 2:
The system continuously monitors channel conditions, QoS metrics, and energy consumption levels, using this feedback to dynamically adjust antenna mode and modulation method selections. The feedback mechanism enables the system to learn from past performance and adapt to changing environmental conditions, ensuring comprehensive factor consideration in real-time optimization decisions.
Data Source
AI summary
Provided are a mobile terminal and a method of transmitting and receiving signals in the mobile terminal. The method selects a modulation method and an antenna mode for optimizing energy consumption when signals are transmitted and received in consideration of a network operation mode, a channel environment, Quality of Service (QoS), and the like, and transmits and receives signals using the modulation method and antenna mode.