MIMO OFDM Chunk Processing for Signaling Reduction
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Solution Overview
Problem
Existing MIMO OFDM systems face high signaling effort due to the need to transmit full channel information from receivers to transmitters, especially in FDD-based methods, which is resource-intensive and complex, especially when channel information is not immediately available at the transmitter.
Innovation Solution
Implementing a method where a single spatial transmission strategy adapted to instantaneous channel conditions is used for all subcarriers and symbols within a defined frequency/time band, described by a maximum of T*R complex values, allowing for reduced signaling effort by transmitting only the necessary channel information or transmission strategy, and varying chunk width based on channel characteristics and required capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If full channel information is transmitted from receiver to transmitter in FDD-based MIMO OFDM systems, then channel-oriented signal processing and capacity optimization are enabled, but signaling effort and system complexity increase significantly
Solution Approach 1:
The patent segments the channel information transmission by introducing chunk processing, where channel information is processed and transmitted in discrete frequency/time chunks rather than continuously. This segmentation allows the system to transmit only necessary channel information for each chunk, reducing overall signaling effort while maintaining channel-oriented processing capability for capacity optimization.
Solution Approach 2:
The patent applies partial action by transmitting only the essential channel information needed for optimal transmission within each chunk, rather than transmitting complete channel information for all subcarriers and time symbols. This selective transmission of partial channel information reduces signaling overhead while sufficing for capacity optimization.
2Productivity
If channel information is transmitted for every subcarrier and time symbol, then optimal transmission strategy can be implemented, but signaling resources are consumed excessively
Solution Approach 1:
The patent merges multiple subcarriers and time symbols into discrete chunks, allowing channel information to be transmitted and processed together as a unit. This merging reduces the total number of separate signaling transmissions required while maintaining the ability to optimize transmission capacity across all subcarriers and time symbols within each chunk.
Solution Approach 2:
The patent performs preliminary processing of channel information within each chunk before transmission, pre-computing the optimal transmission strategy for that chunk. This preliminary action allows the system to transmit fewer, more efficient signaling messages that encapsulate the optimal strategy for multiple subcarriers and time symbols simultaneously.
3Adaptability or versatility
If complete channel information is signaled back from receiver, then transmitter can adapt signal processing to instantaneous channel conditions, but signaling effort increases with system dimensions
Solution Approach 1:
The patent applies local quality by treating each chunk independently, where channel information and optimal transmission strategies are determined and transmitted specifically for that local chunk rather than globally. This allows adaptive signal processing for each chunk while reducing the overall signaling burden by focusing only on the necessary channel characteristics for each local region.
Data Source
AI summary
In an OFDM multi carrier modulation method, M sub-carriers are used in a frequency band of a broadband mobile radio channel and several symbols are used in a time band. With application of a MIMO multi-antenna method with T transmitting antennae and R receiving antennae, for all sub-carriers and all symbols, a single, pre-determined, channel-matched transmission strategy is used, which is described by a maximum of T*R complex values on the signal side, independent of the species of the MIMO multi-antenna method and independent of the size of the frequency/time bands.