Adaptive Multi-Carrier Transmission for Spectral Efficiency
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in adapting to varying channel conditions, as they typically fix subchannel configurations and pilot patterns, leading to suboptimal performance and resource wastage, especially in multi-carrier systems where channel conditions can change rapidly.
Innovation Solution
The method involves jointly adjusting modulation and coding schemes, transmission power control, and subchannel configurations based on real-time channel feedback to maximize spectral efficiency and system capacity, while minimizing error probability and resource wastage, by using adaptive transmission techniques that dynamically configure subchannels and pilot patterns according to user profiles and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subchannel configurations and pilot patterns are fixed in conventional systems, then system complexity is reduced and ease of operation is improved, but spectral efficiency and system performance deteriorate under varying channel conditions
Solution Approach 1:
The patent applies dynamics by making subchannel configurations and pilot patterns adjustable rather than fixed. The system dynamically adapts these parameters based on channel conditions, user profiles, and environmental factors, allowing the communication system to optimize performance in real-time while maintaining manageable complexity through automated adaptation mechanisms
2Productivity
If adaptive modulation and coding is implemented to adjust MCS according to SINR, then spectral efficiency is improved, but device complexity and system complexity increase due to multiple adjustable functions
Solution Approach 1:
The patent merges multiple adjustment functions (MCS, subchannel configuration, pilot patterns) into a unified adaptive framework. By coordinating these functions together based on channel feedback and user profiles, the system achieves enhanced spectral efficiency while managing complexity through integrated control rather than separate independent adjustments
Solution Approach 2:
The patent utilizes parameter changes by systematically adjusting multiple transmission parameters (modulation order, coding rate, subchannel allocation, pilot density) based on measured channel conditions. This coordinated parameter adaptation allows the system to optimize spectral efficiency across varying SINR conditions while maintaining manageable complexity through structured parameter management
3Use of energy by moving object
If TPC is used to reduce interference and conserve battery life, then energy efficiency is improved, but system complexity increases due to coordination requirements in multi-cell systems
Solution Approach 1:
The patent applies feedback mechanisms where channel quality information is measured and used to dynamically adjust transmission power through TPC. This closed-loop approach enables energy-efficient transmission by allocating power based on actual channel conditions while managing system complexity through standardized feedback protocols and coordinated control between transmitter and receiver
Data Source
AI summary
An arrangement is disclosed where in a multi-carrier communication system, the modulation scheme, coding attributes, training pilots, and signal power may be adjusted to adapt to channel conditions in order to maximize the overall system capacity and spectral efficiency without wasting radio resources or compromising error probability performance.