Wireless Network Transmission Point Grouping for Edge User Interference
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Solution Overview
Problem
In large wireless networks, especially those using Third Generation Partnership (3GPP) Long Term Evolution Advanced (LTE-A) communications, the increase in cell size makes it challenging to achieve efficient joint processing and synchronization among transmission points, leading to inter-transmission point group interference and increased computational costs for user equipment scheduling.
Innovation Solution
A method is implemented to select and group transmission points based on user equipment-centric metrics, forming a transmission point group patch to serve edge users experiencing interference, while maintaining quality of service for other terminals through coordinated multi-point transmission and interference coordination techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If joint processing techniques are implemented across multiple transmission points to improve throughput and coverage, then network performance is improved, but synchronization complexity and backhaul requirements increase
Solution Approach 1:
The network is segmented into multiple transmission point groups (TPGs) that operate semi-independently. Each TPG can be formed and managed separately, allowing joint processing to be applied locally within groups rather than across the entire network. This reduces synchronization complexity while maintaining throughput benefits for users within each group.
Solution Approach 2:
The transmission point groups are dynamically formed and reconfigured based on user equipment positions, channel conditions, and interference patterns. This dynamic adaptation allows the system to optimize performance while reducing synchronization overhead by only coordinating TPs that are actively serving the same users.
2Reliability
If transmission point groups are formed to serve edge users, then signal quality for edge users is improved, but inter-TPG interference increases
Solution Approach 1:
The patent identifies dominant interfering TPs from other TPGs and intentionally coordinates with them to provide helper transmission. The harmful interference is converted into a beneficial signal by having the interfering TP transmit cooperative signals that assist edge users, effectively turning the interference problem into a performance enhancement opportunity.
Solution Approach 2:
A central coordinating unit acts as an intermediary between different TPGs, managing the formation and coordination of transmission points across group boundaries. This mediator facilitates interference coordination and enables cooperative transmission between TPGs while maintaining overall network coherence.
3Adaptability or versatility
If a strong backhaul link is established between all transmission points and central coordinating unit to enable joint transmission, then multi-TP functionality is realized, but network infrastructure cost and complexity increase
Solution Approach 1:
The backhaul network is segmented into hierarchical levels, with central coordinating units managing groups of TPs. Not all TPs need direct strong backhaul links to every CCU; instead, TPs connect to their local CCU, which then coordinates with other CCUs as needed. This segmented backhaul structure reduces infrastructure complexity while maintaining multi-TP functionality.
Solution Approach 2:
The backhaul connectivity requirements are dynamically adjusted based on the actual coordination needs. TPs only require strong backhaul links when they are actively participating in joint transmission or interference coordination. When TPs operate independently or with minimal coordination, backhaul requirements are reduced, allowing for more flexible and cost-effective infrastructure deployment.
Data Source
AI summary
Embodiments are provided to serve user equipments (UEs) that experience, for example persistently, inter-transmission point group (TPG) interference in a wireless or cellular network. The embodiments include steps to serve edge UEs (EUs) such as persistent EUs (PEUs) using a set of transmission points (TPs) in one or more TPGs. The selected set of TPs used for serving the EUs or PEUs are dynamically determined based on a UE-centric metric. The metric involves the PEUs and surrounding UEs. The UE-centric metric is used to partition the network to multiple TPG sets. For each one of multiple assigned resource units (RUs), a TPG set that maximizes or improves a network-wide utility is used for scheduling transmissions. Further, for each RU, the UEs are associated with an optimized or improved TPG in the used TPG set.