MBS Scheduling Adaptation and Power Saving
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Solution Overview
Problem
Current mobile communication networks face challenges in efficiently managing and optimizing communication protocols across diverse wireless devices and base stations, particularly in supporting multiple technologies and releases, which leads to suboptimal performance and resource utilization.
Innovation Solution
The implementation of a flexible and configurable architecture for mobile communication networks that selectively applies New Radio (NR) protocols based on criteria such as wireless device configurations, traffic load, and packet sizes, allowing for dynamic bandwidth adaptation and carrier aggregation to enhance communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single protocol is used across all devices, then implementation complexity is reduced, but performance and resource utilization become suboptimal for diverse device types
Solution Approach 1:
The system dynamically selects and applies different NR protocol versions (Release 15, 16, 17, or 18) based on device capability indicators and network conditions. The base station receives capability information from the wireless device and adaptively configures the appropriate protocol version, allowing the system to optimize performance for each device type while maintaining manageable complexity through automated selection.
Solution Approach 2:
The patent changes the protocol version parameter based on device capabilities and traffic conditions. By adjusting which Release version is applied (15, 16, 17, or 18), the system optimizes communication efficiency for different device types and service requirements while keeping the base implementation framework consistent.
2Productivity
If protocol optimization is customized for each device type, then communication efficiency improves, but system complexity and configuration difficulty increase
Solution Approach 1:
The system enables self-service optimization by having wireless devices report their own capability indicators to the base station. The base station then automatically selects the appropriate NR protocol version based on these reports, eliminating the need for manual configuration. This self-configuring approach maintains high communication efficiency while reducing system complexity.
Solution Approach 2:
The system implements feedback mechanisms where wireless devices provide capability information to the base station, which then uses this feedback to select the optimal protocol version. This closed-loop approach allows the system to adapt to device-specific requirements without increasing configuration complexity, as the selection is driven by automated feedback rather than manual setup.
3Productivity
If bandwidth is allocated based on maximum capacity, then resource utilization improves, but power consumption and device complexity increase
Solution Approach 1:
The system dynamically adjusts bandwidth allocation based on actual service requirements and device capabilities rather than always allocating maximum capacity. The base station receives capability indicators and traffic information, then adaptively configures bandwidth to match actual needs, optimizing resource utilization while reducing unnecessary power consumption for devices that don't require full bandwidth.
Data Source
AI summary
A wireless device receives RRC messages comprising configuration parameters of multicast transmissions, wherein the configuration parameters indicate CFRs comprising a number of resource blocks within a bandwidth part of a cell, a RNTI, and a value of a maximum MIMO layer indication for transmission via the CFRs. The wireless device receives, via the CFRs and based on the RNTI, a group common DCI indicating a multicast transmission of a TB, and the multicast transmission of the TB with a number of MIMO layers equal to or less than the value.