A Heterogeneous Network System with Flexible Access Points and Protocol-free Signal Processing Part Part2: Highly Efficient Radio Wave Data Compression Method Employing Compressed Sensing Technology

摘要

Rapid developments and changes of wireless radio environments require a unified platform which can flexibly deal with various wireless radio systems. To satisfy this requirement, we proposed a heterogeneous network system which is composed of flexible access points and protocol-free signal processing part. As a partial fulfillment of the proposed system, we employ compressed sensing technology to realize a highly flexible and efficient radio wave data reception and transmission. Compressed sensing is a new framework for solving an ill-posed inverse problem of sparse signal. Direct translation of compressed sensing in the sense of wireless technology is as follow: radio wave data can be received, transmitted, and reconstructed using sub-Nyquist rate information without aliasing provided that radio wave is sparse. Considering the scarce usage of frequency resources, compressed sensing is suitable for various scenarios in wireless technology. To provide a full understanding of our approach, we first provide basic knowledge of compressed sensing. Then, describe new radio wave data compression methods which provide a highly efficient radio wave data transmission.