Abstract
This work evaluates the O-RAN compression methods specified for in-phase and quadrature (IQ) data compression, which are applied to transport the frequency domain representation of the radio signals. The methods were evaluated in terms of computational cost and quantization-noise ratio vs IQ bit-width. It was found that the O-RAN compression algorithm with the best performance highly depends on the signal power. Thus, one of the contributions of this work is a compression method that selects the best method for each physical resource block (PRB) instead of using a single compression method for a set of PRBs as in the current O-RAN specification. A complete description of how to implement the proposed method meeting the O-RAN standard is also provided in the paper. The selection of the best method for each PRB is particularly important for the uplink signals, where the power of the received signals can be very different depending on the UE channel.
Highlights
M OBILE operators are under constant pressure to increase their capacity while constraining cost and providing competitive mobile services
The signal-to-quantization-noise ratio (SQNR) consists of the ratio between the signal power in the input and the distortion inserted by the compression method, i.e., SQNR= E |physical resource block (PRB)|2 /E |decompressed PRB (dPRB) − PRB|2, where PRB is the compressor input and dPRB is the output of the decompression
Inspired by the behavior of the Block Floating Point (BFP) method, the same signals used in Section III were simulated with all compression methods for iqWidth=6 bits, and the probability of the methods show the lowest mean squared error (MSE) was evaluated for a dynamic range between maxValue and minimum absolute value
Summary
Abstract—This work evaluates the O-RAN compression methods specified for in-phase and quadrature (IQ) data compression, which are applied to transport the frequency domain representation of the radio signals. It was found that the O-RAN compression algorithm with the best performance highly depends on the signal power. One of the contributions of this work is a compression method that selects the best method for each physical resource block (PRB) instead of using a single compression method for a set of PRBs as in the current O-RAN specification. A complete description of how to implement the proposed method meeting the O-RAN standard is provided in the paper. The selection of the best method for each PRB is important for the uplink signals, where the power of the received signals can be very different depending on the UE channel
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