A Low Complexity Baseband Signal Compression for Data Transport in LTE-A and NR Systems

The exponential growth of data rate in advanced wireless communication systems results in an overwhelming overhead on physical links that transport complex-value digital signal between Radio Frequency (RF) unit and Baseband Processor (BBP) at mobile terminal. To suppress this overhead, we present the data compression which lowers the bit-width of inphase (I) and quadrature(Q) sample to be transferred over RF-BBP link. The proposed compression schemes are based on floating-point transform and bit-level modification targeting for orthogonal frequency division multiplexing (OFDM) signal in Long Term Evolution (LTE) and New Radio (NR) systems, which lead to cost-effective implementation with a low latency and reduced computational complexity. Through theoretical analysis and performance evaluation, it is verified that the intended data rate using $4 \times 4$ MIMO and 256QAM is achieved with an ignorable performance loss compared to the uncompressed mode, providing 25% compression ratio.