Capacity Projectors for Dynamic MU-MIMO Channel Shaping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current MIMO cellular wireless communication systems face challenges in providing uniform coverage and high data rates to multiple users, especially at cell edges, due to inter-cell interference and limited spectral efficiency, which is exacerbated by the need for dense small cell deployments and complex backhaul networks.
Innovation Solution
The implementation of intelligent and adaptive Capacity Projectors (CaPs) that dynamically adjust power gain, beamforming, and channel shaping to enhance MIMO spatial multiplexing, using sensor information and learning algorithms to optimize UE distribution and interference coordination across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dense deployment of small cells is implemented to increase spatial reuse of wireless spectrum, then data rate capacity is improved, but device complexity and backhaul network cost increase significantly
Solution Approach 1:
The patent combines multiple small cell base stations into a coordinated multi-point (CoMP) system where they function as a unified network entity. This merging approach allows joint processing of signals across multiple cells, achieving high data rates without requiring separate complex backhaul connections for each individual small cell, thus resolving the contradiction between capacity improvement and network complexity.
Solution Approach 2:
The patent implements a universal backhaul architecture where a single high-capacity backhaul connection serves multiple small cells through centralized processing. This multi-functional backhaul infrastructure replaces the need for dedicated backhaul links for each small cell, reducing overall network complexity while maintaining high data rate capacity across the dense small cell deployment.
2Object-affected harmful factors
If careful RF measurement and planning with inter-cell coordination is performed to reduce interference, then inter-cell interference is reduced, but deployment cost and management overhead increase
Solution Approach 1:
The patent implements self-organizing network (SON) capabilities that enable base stations to automatically perform RF measurements, detect interference patterns, and coordinate with neighboring cells without human intervention. This self-service approach reduces inter-cell interference through automated coordination while eliminating the need for manual RF planning, thus resolving the contradiction between interference reduction and deployment complexity.
Solution Approach 2:
The patent establishes feedback mechanisms where base stations continuously monitor RF conditions, measure interference levels, and adjust their transmission parameters based on real-time feedback from the network environment. This closed-loop feedback system enables dynamic interference coordination that reduces inter-cell interference without requiring complex pre-planning, as the system adapts automatically to changing conditions.
3Area of stationary object
If MIMO beamforming is used to extend DL coverage range, then coverage area is improved, but SINR of distant UEs deteriorates due to large-scale fading
Solution Approach 1:
The patent segments the coverage area into multiple zones served by different base stations in the CoMP system. Distant UEs at cell edges are served by coordinating multiple base stations that collectively provide coverage, rather than relying on a single base station's beamforming. This segmentation approach maintains SINR for distant UEs by distributing the service burden across multiple nodes, resolving the contradiction between extended coverage and maintained signal quality.
Solution Approach 2:
The patent introduces coordinated multi-point processing as an intermediary mechanism that relays signals between distant UEs and the core network through multiple base stations. This intermediary approach allows signals from distant UEs to be collected and processed jointly by multiple base stations, compensating for large-scale fading and maintaining acceptable SINR levels at cell edges while extending coverage area.
4Area of stationary object
If a large number of antennas are deployed on BS to extend coverage through beamforming, then coverage range is improved, but uniformity of coverage deteriorates due to non-uniform SINR distribution
Solution Approach 1:
The patent implements local quality optimization where each base station in the CoMP system is configured with specific beamforming patterns tailored to its local coverage characteristics. Instead of using identical beamforming strategies across all base stations, the system adapts local beamforming parameters to achieve uniform overall coverage. This local customization approach compensates for the non-uniform SINR distribution created by individual base station beamforming, resolving the contradiction between extended coverage range and uniform coverage quality.
Data Source
AI summary
This invention presents Capacity Projectors (CaPs) for intelligent control and management that collect information on channel conditions, actual and/or predicted demand for connectivity, data throughput and its distribution for a first time period in the future using signaling and control messages, analyze the collected information to identify the configurations of the BSs and CaPs that are needed to produce desired MU-MIMO communication channels in the first time period to meet the connectivity and data throughput demand and its distribution in the first time period, and adaptively control and configure the CaPs to actively shape the MU-MIMO communication channels to meet the predicted demand and its distribution, wherein controlling and configuring the CaP comprises implementing which of the CaPs to switch to sleeping mode or work mode and adjusting one or more of transmitting power gain, antenna tilt, beam direction and/or pattern of the transmitter and/or receiver, filtering of the receiving and/or transmitting signal.


