Distributed 5G NR Downlink Baseband Compression for Lower Latency
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Solution Overview
Problem
The challenge of efficiently transmitting downlink baseband signals from a central office to remote sites in 5G wireless networks, while minimizing latency and computational overhead, is not adequately addressed by existing technologies.
Innovation Solution
A distributed baseband processing system is implemented, where a central office performs a first portion of baseband processing to compress downlink signals, and remote sites perform a second portion of processing using configuration parameters, enabling efficient transmission over existing transmission lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If all baseband processing is performed at the central office, then signal processing completeness is ensured, but transmission bandwidth requirements and latency increase
Solution Approach 1:
The baseband processing function is segmented into two parts: compression at the central office and decompression at the remote site. This divides the processing load geographically, reducing transmission requirements and latency while maintaining complete signal processing capability across the distributed system.
Solution Approach 2:
The processing architecture transitions from a centralized single-dimension model to a distributed multi-dimension model, where processing occurs at multiple locations (central office and remote sites) simultaneously, reducing the burden on any single node and improving overall system efficiency.
2Productivity
If compressed packets are transmitted from central office to remote sites, then transmission efficiency improves, but processing complexity at remote sites increases
Solution Approach 1:
The complex compression algorithms and configuration parameters are extracted from the remote site and implemented at the central office. The remote site only needs to execute the decompression function using received parameters, significantly reducing the processing complexity at remote locations while maintaining high transmission efficiency.
Solution Approach 2:
Configuration parameters act as an intermediary that carries the necessary processing information from the central office to the remote site. This mediator enables the remote site to perform decompression without needing to implement complex compression algorithms locally.
3Quantity of substance
If more channels are transmitted over existing lines, then network capacity increases, but signal interference and transmission quality may deteriorate
Solution Approach 1:
The system changes the parameter of signal representation by using compressed packet format instead of traditional baseband signals. This parameter change allows more channels to be multiplexed over existing transmission lines while maintaining signal quality through efficient compression and decompression at distributed locations.
Data Source
AI summary
Methods and apparatus for baseband signal compression of fifth generation new radio downlink signals. In an embodiment, a method includes receiving compressed packets over a transmission medium from a central office that performs a first portion of baseband processing to generate the compressed packets from downlink data, receiving configuration parameters, performing a second portion of baseband processing to decompress the compressed packets using the configuration parameters to generate the downlink data, and transmitting the downlink data. An apparatus includes an interface that receives compressed packets and configuration parameters over a transmission medium from a central office that includes a first baseband processing section that generate the compressed packets from downlink data. The apparatus also includes a second baseband processing section that decompresses the compressed packets using the configuration parameters to extract the downlink data, and a radio frequency (RF) interface that transmits the downlink data.