Robust Single-Carrier RAN Links for Power-Sensitive Uplink Coverage
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Solution Overview
Problem
Existing radio access networks (RANs) fail to provide improved coverage, robustness, and capacity for power sensitive or low data rate user equipment (UEs) due to limitations in multiple carrier aggregation and dual connectivity, leading to inefficient resource consumption.
Innovation Solution
A network device employs a machine learning model to determine the quantity of repetitions, modulation coding scheme (MCS) reductions, and block error rate (BLER) adjustments for a robust single carrier RAN link, utilizing a trained model to enhance uplink coverage and robustness for power sensitive or low data rate UEs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple carrier aggregation and dual connectivity are implemented, then RAN coverage, link robustness, and capacity are improved, but device complexity and power consumption increase for power-sensitive UEs
Solution Approach 1:
The patent applies parameter changes by adjusting repetition quantities, MCS indices, and BLER thresholds based on UE capabilities and channel conditions. The network device dynamically modifies transmission parameters for single-carrier UEs to achieve robustness comparable to multi-carrier systems without requiring complex device architecture.
Solution Approach 2:
The patent segments the solution by treating power-sensitive UEs differently from regular UEs through capability indication mechanisms. The network device identifies UE types and applies specialized single-carrier configurations with enhanced repetition and coding schemes specifically tailored for IoT and power-constrained devices.
2Productivity
If multiple carrier aggregation is used, then data rate and capacity are improved, but energy consumption increases for power-sensitive devices
Solution Approach 1:
The patent uses parameter changes to optimize the balance between data rate and energy consumption. By adjusting repetition quantities and MCS indices dynamically based on channel conditions and UE capabilities, the system achieves efficient data transmission for power-sensitive UEs without the energy overhead of multiple carrier aggregation.
Solution Approach 2:
The patent implements dynamics through adaptive transmission schemes where the network device continuously monitors channel conditions and UE status, then adjusts transmission parameters in real-time. This dynamic adaptation allows power-sensitive UEs to achieve variable data rates while minimizing energy consumption based on actual network conditions.
3Device complexity
If single carrier bandwidth is implemented for power-sensitive UEs, then device complexity is reduced, but RAN coverage and link robustness deteriorate
Solution Approach 1:
The patent applies parameter changes by introducing enhanced repetition mechanisms and adaptive MCS indexing specifically for single-carrier transmissions. These parameter modifications compensate for the lack of multi-carrier diversity, maintaining coverage and robustness levels comparable to more complex systems while keeping device simplicity.
Solution Approach 2:
The patent uses the network device as an intermediary that performs complex signal processing and error correction on the network side. This mediator approach allows simple single-carrier UEs to achieve robust communication because the network device compensates for the simplified device architecture through advanced transmission schemes.
4Use of energy by moving object
If single carrier bandwidth is used, then power consumption is reduced, but resource utilization efficiency decreases
Solution Approach 1:
The patent uses parameter changes to optimize resource utilization for single-carrier transmissions. By dynamically adjusting repetition quantities and MCS indices based on channel conditions and QoS requirements, the system achieves efficient spectrum utilization for power-sensitive UEs, maximizing throughput within the constraints of single-carrier operation.
Solution Approach 2:
The patent implements dynamic resource allocation where the network device adapts transmission parameters in real-time based on traffic demands and channel conditions. This dynamic approach ensures that single-carrier resources are utilized efficiently, allowing power-sensitive UEs to achieve optimal throughput while consuming minimal power.
Data Source
AI summary
A network device may determine that a user equipment is entering a first frequency band coverage area provided by the network device and may determine that the user equipment is a power sensitive device or a narrow band device. The network device may receive multiple carrier information associated with the network device based on determining that the user equipment is a power sensitive device or a narrow band device. The network device may process the multiple carrier information, with a machine learning model, to determine a quantity of repetitions to extend uplink coverage for the user equipment and may enable the quantity of repetitions to extend the uplink coverage for the user equipment.