Selective TRP Beam Management for Multicast in Heterogeneous Networks
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing multicast and broadcast services, particularly in terms of resource allocation and beam management for transmission reception points (TRPs) in heterogeneous networks, leading to suboptimal performance and user experience.
Innovation Solution
The implementation of selective transmission reception point (TRP)-based communications for multicast and broadcast services, which involves dynamic resource allocation and beam management strategies to optimize transmission and reception in heterogeneous networks, ensuring efficient utilization of resources and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic resource allocation and beam management strategies are implemented for selective TRP-based communications, then network performance and user experience are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The system segments the heterogeneous network into multiple TRPs with distinct functionalities. Each TRP is assigned specific roles (e.g., some TRPs transmit only broadcast traffic, others transmit both unicast and multicast traffic) to simplify individual TRP operations while achieving overall network optimization through coordinated resource allocation and beam management.
Solution Approach 2:
The patent implements dynamic resource allocation where TRPs can switch between different transmission modes (broadcast, multicast, unicast) based on real-time network conditions and service requirements. Beam management is also dynamic, with TRPs adapting beamforming parameters to optimize signal delivery to different user groups, thereby improving reliability without requiring permanent complex configurations.
2Productivity
If selective TRP-based communications with dynamic resource allocation are implemented, then resource utilization efficiency is optimized, but control and management complexity increases
Solution Approach 1:
Different TRPs are configured with local quality optimizations tailored to their specific roles and coverage areas. Some TRPs are optimized for broadcast traffic with specific beamforming parameters, while others are optimized for multicast services. This localized optimization approach improves overall resource utilization without requiring centralized control of all parameters across the entire network.
Solution Approach 2:
The system dynamically changes operational parameters (such as resource block allocation, beamforming weights, modulation schemes) at different TRPs based on service type and network conditions. This parameter adaptation enables efficient resource utilization for diverse services while the base station maintains simplified control by managing only the essential parameter adjustments rather than complete resource orchestration.
3Reliability
If multiple TRPs are used for multicast and broadcast services with selective transmission, then service coverage and reliability are enhanced, but beam management complexity increases
Solution Approach 1:
The system segments the beam management function across multiple TRPs, where each TRP manages its own beamforming independently for its assigned user groups. This segmentation reduces the overall beam management complexity by dividing the task into smaller, manageable units while maintaining enhanced service coverage through the coordinated efforts of multiple TRPs transmitting the same broadcast/multicast content.
Solution Approach 2:
Multiple TRPs transmit copies of the same broadcast and multicast content to different user groups simultaneously. Each TRP uses its own beamforming parameters to deliver the copied content to its specific target users, which enhances service coverage and reliability without requiring complex inter-TRP beam coordination, as each TRP independently manages its beam to the appropriate users.
Data Source
AI summary
A system, method and apparatus for wireless communications is provided. A user equipment (UE) receives control information including first configuration parameters and second configuration parameters. The first configuration parameters are associated with a plurality of sets of reference signals associated with one or more transmission reception points (TRP)s and a transmission configuration indication (TCI) state. The second configuration parameters for reference signal measurements and reports for identified sets of reference signals. The UE transmits a measurement report based on the second configuration parameters and one or more identified sets of reference signals of the plurality of sets of reference signals. The UE receives scheduling information indicating a first TCI state associated with one or more identified TRPs of the plurality of TRPs of the network node. The scheduling information is based, at least in part, on a plurality of received measurement reports transmitted by a plurality of UEs.