Baseband Sample Compression Across BTS RF and Baseband Links
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Solution Overview
Problem
Current transceiver systems in wireless communication networks face challenges in managing increasing data volumes and evolving standards, leading to the need for costly hardware upgrades, particularly in terms of serial data link capacity and resource conservation, without compliance with existing standards like OBSAI and CPRI which do not support signal sample compression.
Innovation Solution
Implementing a method for compressing and decompressing signal samples in base transceiver systems, using compressors and decompressors at both RF units and baseband processors, to increase data transfer capacity while formatting compressed samples for compatibility with existing data transfer protocols, thereby enhancing the efficiency of serial data links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If signal samples are compressed before transfer over serial data links, then data transfer capacity is increased and hardware upgrades are delayed, but compatibility with existing standards (OBSAI and CPRI) is lost
Solution Approach 1:
A compression interface is introduced as an intermediary layer between the RF unit and baseband processor. This interface includes a compressor at the RF unit that compresses signal samples before transmission, and a decompressor at the baseband processor that decompresses received samples. The compression interface adapts compressed data to existing OBSAI/CPRI protocols, allowing compression functionality while maintaining standard compatibility.
2Loss of energy
If compression is implemented at both RF units and baseband processors, then computing resources are conserved and data transfer efficiency is improved, but device complexity increases
Solution Approach 1:
The compression functionality is segmented and distributed across multiple components: a compression interface at the RF unit with a compressor, and a corresponding decompression interface at the baseband processor with a decompressor. This segmentation allows compression to occur at the source (RF unit), reducing the data burden on the serial data link and conserving computing resources at the baseband processor, while maintaining modular system architecture.
3Adaptability or versatility
If uncompressed signal samples are transferred over serial data links, then compatibility with OBSAI and CPRI standards is maintained, but data transfer capacity is insufficient for growing data processing requirements
Solution Approach 1:
The system changes the parameter of data representation by compressing signal samples before transmission. The compressor transforms uncompressed signal samples into compressed form, reducing the data volume. The decompressor at the baseband processor transforms the compressed data back to uncompressed samples for processing. This parameter change enables higher data transfer capacity while the compression interface maintains compatibility with existing OBSAI and CPRI protocols.
Data Source
AI summary
A signal compression method and apparatus for a base transceiver system (BTS) in a wireless communication network provides efficient transfer of compressed signal samples over serial data links in the system. For the uplink, an RF unit of the BTS compresses baseband signal samples resulting from analog to digital conversion of a received analog signal followed by digital downconversion. The compressed signal samples are transferred over the serial data link to the baseband processor then decompressed prior to normal signal processing. For the downlink, the baseband processor compresses baseband signal samples and transfers the compressed signal samples to the RF unit. The RF unit decompresses the compressed samples prior to digital upconversion and digital to analog conversion to form an analog signal for transmission over an antenna. Compression and decompression can be incorporated into operations of conventional base stations and distributed antenna systems, including OBSAI or CPRI compliant systems.