Radio Communications System with Dynamic Signal Processing Segmentation
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Solution Overview
Problem
Current radio communications systems face challenges in achieving high spectral efficiency for both high and low end-user traffic loads due to high operational expenditures and interference issues in dense networks, particularly with centralized signal processing leading to excessive backhaul demands and unpredictable costs.
Innovation Solution
Adaptable Radio Architecture Processing (ARAP) with flexible data tapping and signal processing modes, allowing the mobile network to dynamically adjust data tapping and signal processing based on traffic conditions, incorporating Backhaul Aware Radio Cells (BARC) to optimize backhaul usage and balance end-user performance with cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If centralized signal processing is used in radio base stations, then spectral efficiency is improved, but backhaul capacity requirements increase significantly
Solution Approach 1:
The patent segments signal processing into two parts: real-time critical processing (physical layer, MAC layer) remains distributed at the base station, while non-real-time processing (RLC, PDCP, RRC layers) is centralized in a pool. This segmentation allows spectral efficiency gains from centralized processing without requiring full backhaul capacity for all processing functions.
Solution Approach 2:
The patent extracts non-real-time processing functions (RLC, PDCP, RRC) from the base station and places them in a centralized pool. Only the essential real-time processing functions remain at the base station, reducing backhaul capacity requirements while maintaining spectral efficiency benefits.
2Productivity
If radio site deployment density is increased to address traffic growth, then network capacity is improved, but operational expenditures increase significantly
Solution Approach 1:
The patent merges multiple base station processing functions into a shared pool that serves multiple sites. This allows dense deployment of radio sites while sharing backend processing resources, thereby increasing network capacity without proportionally increasing operational expenditures.
Solution Approach 2:
The centralized pool provides universal processing capabilities that can serve multiple base stations with different traffic loads. This multi-functionality allows efficient resource utilization across dense networks, reducing per-site operational costs.
3Productivity
If full centralized processing with CPRI interface is implemented, then spectral efficiency is maximized, but backhaul bandwidth demands reach several Gbps
Solution Approach 1:
The patent extracts non-real-time processing functions (RLC, PDCP, RRC) from the base station and places them in a centralized pool. Only the essential real-time processing functions remain at the base station, reducing backhaul capacity requirements while maintaining spectral efficiency benefits.
Solution Approach 2:
The patent implements dynamic adaptation where the system can switch between different processing modes (full centralized, partial centralized, or fully distributed) based on backhaul conditions and traffic requirements, optimizing the balance between spectral efficiency and bandwidth consumption.
Data Source
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AI summary
The invention relates to a radio communications system (100), comprising: a mobile network (101) comprising a line of signal processing blocks (SP1, SP2, SPn) and dispatching means (D1) switchable to data taps of the line of signal processing blocks (SP1, SP2, SPn); and a base station (105) comprising a line of signal processing blocks (SPB1, SPB2, SPBn) and dispatching means (D2) switchable to data taps of the line of signal processing blocks (SPB1, SPB2, SPBn), wherein the mobile network (101) and the base station (105) are configured to exchange configuration information (131) in order to switch the dispatching means (D1) of the mobile network (101) in correspondence to the dispatching means (D2) of the base station (105).