CoMP Uplink Data Compression via Service ERRU Mediation
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Solution Overview
Problem
In LTE-A systems with Coordinated Multipoint Transmission and Reception (CoMP), it is challenging for a single RRU to compress user data effectively, leading to increased uplink data transmission flow due to incomplete data across multiple RRUs.
Innovation Solution
A method where a centralized processing node sends control information to ERRUs in a CoMP set, designating a service ERRU for data compression, allowing non-service ERRUs to transmit original data to the service ERRU for compression and then sending compressed data to the centralized processing node, reducing the overall uplink transmission flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If each RRU compresses original data independently, then transmission bandwidth is reduced, but compression gain cannot be achieved in CoMP sets where multiple RRUs receive incomplete user data
Solution Approach 1:
The patent introduces a service ERRU as an intermediary within the CoMP set that collects original uplink COMP data from multiple non-service ERRUs, performs centralized compression, and transmits the compressed data to the BBU. This mediator approach allows compression to be performed on complete user data aggregated from all RRUs, resolving the contradiction between reducing transmission flow and maintaining compression effectiveness.
Solution Approach 2:
The patent merges the compression function from individual ERRUs to a centralized service ERRU within the CoMP set. By combining original data from multiple ERRUs at the service ERRU before compression, the system achieves effective compression while reducing overall transmission bandwidth, thus resolving the contradiction between compression gain and transmission flow reduction.
2Reliability
If multiple RRUs transmit original uncompressed data to BBU, then complete user data is delivered, but uplink transmission flow increases
Solution Approach 1:
The service ERRU performs preliminary compression of aggregated user data from multiple non-service ERRUs before transmitting to the BBU. This preliminary action ensures data completeness is maintained while reducing the transmission flow, as compression is performed on the complete aggregated data rather than on incomplete individual RRU data.
3Quantity of substance
If a single RRU compresses data, then transmission bandwidth is reduced, but the RRU lacks complete user data to achieve effective compression
Solution Approach 1:
The patent segments the CoMP set into non-service ERRUs that collect original data and a service ERRU that performs compression. This segmentation allows each non-service ERRU to transmit only its received original data without compression overhead, while the service ERRU handles the aggregation and compression, thus reducing transmission bandwidth without requiring complex compression logic at each RRU.
Data Source
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Figure 1C~2
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AI summary
The embodiments of the present invention provide a method, apparatus, and system for uplink data transmission. The method comprises: sending, by a centralized processing node, control information containing address information of a service ERRU and the transmission mode of ERRUs to the ERRUs in a COMP set, wherein other ERRUs excluding the service ERRU in the COMP set are non-service ERRUs; receiving the compressed uplink COMP frequency domain data sent by the service ERRU according to the transmission mode, wherein the compressed uplink COMP frequency domain data are data obtained by the service ERRU by compressing the original uplink COMP frequency domain data sent by the non-service ERRUs and the original uplink COMP frequency domain data of the service ERRU, and receiving the original uplink COMP frequency domain data sent by at least one ERRU according to the transmission mode. In the embodiments of the present invention, the data are compressed to obtain a compression gain, in order to reduce the uplink transmission flow between the ERRUs in the COMP set and the centralized processing node.