Researchers at the University of California, Davis have developed a ROHC compressor that adaptively adjusts the compression level based on an underlying Partially Observable Markov Decision Process (POMDP) model.
The popularity of smartphones and high speed networks has placed a great deal of pressure on existing wireless networks. This growing demand has made it essential to improve bandwidth efficiency. One way of doing this is through the ROHC approach which compresses data where capacity is strained. Although ROHC compressors exist, they either have no means of receiving an error recovery request, or they require their own feedback channel.
Researchers at the University of California, Davis have developed a ROHC compressor that adaptively adjusts the compression level based on an underlying POMDP model. The model makes use of the estimation of the channel status, and looks at results from previous transmissions in order to determine if they have been acquired from lower layers in the protocol stack. This novel method is advantageous in that it is both more efficient than a traditional U-mode ROHC compressor, and unlike O and R mode compressors, does not require its own ROHC feedback channel.
|United States Of America||Published Application||20180019908||01/18/2018||2016-890|