WIC LIC Estimation Without Channel Model Construction
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Solution Overview
Problem
There is a need to derive accurate estimates of Wide-area Identification Channel (WIC) and Local-area Identification Channel (LIC) symbols in MediaFLO™ mobile multimedia multicast systems without constructing a channel model, as existing methods are inadequate for efficient processing and descrambling of these symbols.
Innovation Solution
A method and apparatus that involve receiving a wireless data signal, setting initial sparseness index values, generating local copies of WIC and LIC symbols, performing Inverse Fast Fourier Transform (IFFT), and extracting symbols based on sparseness index calculations to estimate the transmission channel, allowing for correct descrambling and channel estimation without channel model construction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to process WIC and LIC symbols, then channel model construction can be performed, but processing time and computational complexity increase
Solution Approach 1:
The patent extracts and processes only the essential components of WIC and LIC symbols needed for estimation, rather than constructing a complete channel model. By taking out only the necessary spectral information and processing characteristics, the method achieves accurate estimation while avoiding the time-consuming complexity of full channel model construction.
Solution Approach 2:
The patent performs preliminary processing of WIC and LIC symbols by pre-calculating spectral characteristics and processing requirements. This preliminary action prepares the data in advance for efficient estimation, reducing the computational burden and processing time during actual operation while maintaining accuracy.
2Measurement precision
If existing methods are used to process WIC and LIC symbols, then channel model construction can be performed, but battery consumption increases
Solution Approach 1:
The patent extracts only the essential spectral and processing characteristics from WIC and LIC symbols, avoiding the energy-intensive task of constructing complete channel models. This selective extraction maintains estimation accuracy while significantly reducing computational energy consumption in mobile devices.
Solution Approach 2:
The patent employs lightweight, computationally inexpensive processing methods for WIC and LIC symbol estimation that consume minimal battery power. By using simplified algorithms that focus only on essential spectral characteristics rather than comprehensive channel modeling, the method achieves acceptable accuracy with dramatically reduced energy consumption.
3Reliability
If channel model construction is performed for WIC and LIC estimation, then complete channel information is obtained, but device complexity increases
Solution Approach 1:
The patent extracts only the critical spectral and processing characteristics from WIC and LIC symbols that are necessary for reliable data reception. By taking out only these essential features rather than constructing complete channel models, the method maintains sufficient reliability while avoiding the complexity of comprehensive channel information processing.
Solution Approach 2:
The patent applies partial action by processing only the portion of channel information that is actually necessary for WIC and LIC estimation. Rather than performing excessive processing to obtain complete channel models, the method focuses on the specific spectral and processing characteristics needed, achieving reliable estimation with reduced complexity.
Data Source
AI summary
An apparatus and method for WIC/LIC estimation without channel mode construction in a MediaFLO™ system comprising a receiver, a transmitter and transmission channel, wherein the method comprises receiving a signal comprising a MediaFLO™ mobile multimedia multicast system superframe comprising WIC/LIC symbols; setting a first sparseness index value of the digital signal to zero; setting a local copy WIC/LIC number of the digital signal to one; generating a local copy of all possible values of the WIC/LIC symbols corresponding to a WID/LID value from zero to fifteen; dividing the received WIC/LIC symbol values by a local copy WIC/LIC value corresponding to WIC/LIC number one; performing an IFFT of all the possible values of the WIC and LIC symbols; calculating a second sparseness index value of the IFFT of sixteen possible values of the WIC/LIC symbols; and extracting a WIC/LIC symbol from the digital signal corresponding to the second sparseness index.