BAQ Algorithm in Base Station Data compression

The transmission rate of uplink and downlink has been increasing with the application of Long Term Evolution (LTE), and correspondingly the amount of data transferred by distributed base station has been growing. But nowadays, the used equipment can only support a limited interface rate. Aiming at this problem, we could compress data before transmission. This paper refer to synthetic aperture radar data compression algorithm—the block adaptive quantization compression algorithm. We will improve the algorithm and the algorithm is applied to the base station data compression. In our method, in-phase and quadrature data（IQ data） is firstly partitioned, and we make the data block to the standard normal distribution. Secondly, we could use the optimum threshold value to encode the block data. Simulation results show the block adaptive quantization compression algorithm can compress the IQ data bits effectively.