Dynamic Repetition and Modulation for Cellular Resource Management
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Solution Overview
Problem
Existing cellular network technologies face challenges in efficiently supporting both ultra-reliable and low-priority wireless communications, as low-end machine-type communication devices and ultra-reliable devices compete for limited resources, leading to reduced network capacity.
Innovation Solution
The system dynamically determines repetition and resource utilization based on service reliability and RF conditions within a cell, prioritizing ultra-reliable services over mobile broadband and low-priority services, using modulation levels like BPSK and QPSK to differentiate and manage traffic effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If signal repetition is used to extend coverage for low-end MTC devices, then coverage extension is achieved, but system capacity is reduced
Solution Approach 1:
The system applies different repetition factors to different types of communications: high repetition factors for ultra-reliable communications (e.g., mission-critical IoT devices) and low or no repetition for mobile broadband communications. This localized differentiation allows coverage extension where needed while preserving system capacity for other services.
Solution Approach 2:
The system dynamically determines repetition factors based on service type, channel conditions, and network load. Rather than applying fixed repetition to all low-end devices, the repetition factor is adjusted in real-time according to the specific communication requirements and current network state, optimizing both coverage and capacity.
2Reliability
If repetition signals are increased to ensure ultra-reliable communications, then reliability is improved, but overall network capacity is reduced
Solution Approach 1:
The patent implements service-specific repetition strategies where ultra-reliable communications receive high repetition factors while mobile broadband communications receive low or zero repetition. This localized quality differentiation ensures that reliability enhancements are applied only where critical, preserving network capacity for non-critical services.
Solution Approach 2:
The system changes the repetition factor parameter dynamically based on service type and channel conditions. For ultra-reliable services, the repetition factor is increased to ensure delivery, while for mobile broadband services, it is decreased or eliminated. This parameter adjustment resolves the contradiction by making repetition conditional rather than universal.
3Productivity
If low-priority MTC services use shared downlink resources, then resource utilization is improved, but mobile broadband service quality deteriorates
Solution Approach 1:
The system ensures continuous high-quality service for mobile broadband by maintaining dedicated resources or priority allocation, while low-priority MTC services utilize resources during periods of low demand or with reduced quality requirements. This temporal and hierarchical separation allows resource sharing without compromising mobile broadband service quality.
Solution Approach 2:
Different quality levels are provided to different service types on the same shared resources. Mobile broadband receives high-quality treatment with error correction and priority scheduling, while low-priority MTC services accept lower quality transmission. This local quality differentiation allows coexistence on shared resources without mutual degradation.
Data Source
AI summary
Systems described herein receive, via a physical random access channel, an attach request from a user device; retrieve profile data for the user device; and determine, based on RF conditions estimated from the attach request, an initial downlink repetition level for extended coverage. The systems also receive a reference signal from the user device via a physical uplink shared channel; determine an uplink repetition level for coverage extension based on the uplink RF conditions and requirements from the profile data. The systems detect high resource use within a cell; identify a shared downlink resource channel for the user device, wherein machine-type communication (MTC) data for the user device uses BPSK modulation; identify non-MTC data requiring downlink transmission to a device within the cell; and send the non-MTC data over the shared downlink resource channel, and on a resource pre-allocated for the user device, using a different modulation level.


