Location-Based UL MU-MIMO Pairing for Network Efficiency
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Solution Overview
Problem
Current cellular networks face challenges in meeting high Quality of Service (QoS) demands due to a shortage of wireless spectrum, and traditional Multiple-Input-Multiple-Output (MIMO) schemes prioritize UE pairing based on channel orthogonality and SINR, ignoring UE location and coverage, which reduces network efficiency and cell-throughput.
Innovation Solution
The method involves selecting User Equipment (UEs) for Uplink MU-MIMO pairing by determining channel orthogonality and underlying coverage, de-prioritizing UEs with adequate coverage to optimize resource allocation and improve network efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UEs are prioritized for pairing based on channel orthogonality and SINR ratio, then link quality and reliability are improved, but network efficiency and cell-throughput are reduced
Solution Approach 1:
The patent changes the pairing criteria from purely channel-based parameters (orthogonality and SINR) to include location-based parameters. The AN now considers UE location relative to neighboring ANs and adjusts pairing decisions based on coverage area overlap, fundamentally changing the parameters used for UE selection in MU-MIMO pairing.
Solution Approach 2:
The patent adds a spatial dimension to the UE pairing decision by considering UE location and coverage area overlap with neighboring ANs. This moves the pairing criterion from a single-dimensional channel quality assessment to a multi-dimensional evaluation that includes geographic location and coverage boundaries.
2Ease of operation
If traditional MIMO schemes are used that ignore UE location and coverage availability, then pairing simplicity is maintained, but overall network efficiencies are reduced
Solution Approach 1:
The AN performs preliminary actions by detecting the presence of neighboring ANs and determining coverage area overlaps before making UE pairing decisions. This advance preparation of location and coverage information enables more efficient pairing decisions without adding complexity to the actual pairing process.
Solution Approach 2:
The system uses self-service by having the AN automatically detect neighboring ANs and determine coverage overlaps without external intervention. The network infrastructure autonomously gathers location information and makes pairing decisions based on coverage availability, eliminating the need for manual configuration or complex external coordination.
Data Source
AI summary
Systems and methods are described for selecting User Equipment(s) (UEs) for pairing in a cellular network. A channel orthogonality of one or more UEs located within a radio range of a first Access Node (AN) may be determined. The one or more UEs may be prioritized for Uplink (UL) Multi-User Multiple-Input-Multiple-Output (MU-MIMO) pairing when a channel orthogonality meets a set channel orthogonality condition. A second AN located within the radio range of the first AN may be detected. At least one of the prioritized UEs located within a radio range of the second AN may be selected for de-prioritization. The prioritized UEs may be paired to share a same set of resource blocks.