Bandwidth Part Allocation for Multi-QoS Wireless Scheduling
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Solution Overview
Problem
Conventional wireless communication networks face limitations in bandwidth management, such as allocating only one active BWP during RRC connection, inability of UEs to request recommended BWPs, scheduling all QoS in the same BWP, lack of integration between BWP and MCS, and no consideration of diverse QoS requirements, leading to suboptimal service delivery.
Innovation Solution
A method for dynamically switching between active Bandwidth Parts (BWPs) and/or Modulation Coding Schemes (MCSs) using Machine Learning (ML)/Artificial Intelligence (AI) mechanisms to transmit multiple Quality of Service (QoS) data/groups, allowing simultaneous/periodic/non-periodic transmission via MAC control elements, RRC messages, physical downlink channels, and broadcast messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If only one active BWP is allocated during RRC connection in conventional networks, then device complexity is reduced and ease of operation is improved, but adaptability to diverse QoS requirements deteriorates and productivity decreases
Solution Approach 1:
The patent segments the bandwidth into multiple BWPs (Bandwidth Parts) that can be independently allocated and activated. Each BWP can be configured with different parameters (subcarrier spacing, cyclic prefix length, bandwidth size) to serve different QoS requirements. The network can activate multiple BWPs simultaneously for a UE, allowing different services to operate on different BWPs with appropriate parameters, thus achieving adaptability to diverse QoS without overwhelming complexity.
Solution Approach 2:
The patent introduces dynamic BWP activation and switching mechanisms. The network can dynamically activate or deactivate specific BWPs based on current QoS requirements and network conditions. This dynamic control allows the system to adapt to changing service demands while maintaining manageable complexity through automated activation/deactivation procedures rather than static configuration.
2Adaptability or versatility
If all QoS data is scheduled in the same BWP, then device complexity is reduced and ease of operation is improved, but adaptability to diverse QoS requirements deteriorates and loss of information increases
Solution Approach 1:
The patent applies local quality by assigning different BWPs with specific parameter configurations to different QoS data types. Each BWP can be optimized for particular service characteristics (e.g., narrow bandwidth for voice, wide bandwidth for data, specific subcarrier spacing for latency-sensitive services). This localized optimization allows the system to meet diverse QoS requirements while keeping scheduling manageable through rule-based BWP selection.
3Productivity
If multiple active BWPs are allocated and dynamically switched based on QoS requirements, then adaptability to diverse QoS requirements is improved and productivity increases, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the network monitors QoS performance, UE buffer status, and network conditions to dynamically adjust BWP activation and switching decisions. This feedback-driven approach allows automated optimization of throughput and latency without requiring complex manual configuration, as the system self-adjusts based on observed performance metrics and current network state.
4Adaptability or versatility
If there is no integration between BWP and MCS, then device complexity is reduced and ease of operation is improved, but adaptability to diverse QoS requirements deteriorates and loss of information increases
Solution Approach 1:
The patent merges BWP configuration with MCS (Modulation and Coding Scheme) selection by associating specific MCS ranges or tables with each BWP configuration. When a BWP is activated, the corresponding MCS parameters are automatically applied, creating an integrated resource allocation framework. This combination allows the system to optimize both bandwidth and modulation/coding parameters together for each QoS requirement without managing them as separate complex configurations.
Data Source
AI summary
Various embodiments herein provide a method for resource allocation, by a server, in multiple Band Width Part (BWP) system. The method includes: receiving a plurality of data packets from a network device for transmission to a UE. Further, the method includes determining a plurality of network parameters associated with the network device, the UE, and the plurality of received data packets. Further, the method includes grouping the plurality of received data packets based on the plurality of network parameters. Further, the method includes allocating a BWP and/or sub-carrier spacing to each grouped data packets based on the plurality of network parameters. Further, the method includes sending the plurality of group data packets using the allocated BWP and/or the allocated subcarrier spacing.