Wireless Network Node Scheduling Overlapping Spectrum
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Solution Overview
Problem
In wireless communications networks, scheduling User Equipments (UEs) efficiently is challenging due to the limited processing capacity, which results in suboptimal utilization of air-interface capacity and increased resource costs.
Innovation Solution
The method involves scheduling UEs over cells with overlapping carrier spectra, allowing for more efficient spectrum utilization by reducing the number of Scheduling Entities (SE) per Time Transmission Interval (TTI) required, thereby enhancing system capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional cell scheduling is used where each cell uses dedicated spectrum, then spectrum allocation is simple and reliable, but processing resource cost increases and system capacity decreases
Solution Approach 1:
The patent merges spectrum resources from multiple cells into shared spectrum pools. Instead of dedicating spectrum to individual cells, multiple cells can access the same spectrum resources through a shared pool, reducing the number of separate scheduling entities needed and lowering processing resource costs while maintaining or increasing system capacity.
Solution Approach 2:
The patent creates universal spectrum pools that can serve multiple cells simultaneously. The shared spectrum pool acts as a multi-functional resource that can be dynamically allocated to different cells based on demand, rather than being dedicated to a single cell, thereby improving resource utilization and reducing processing overhead.
2Productivity
If more Scheduling Entities (SE) per Time Transmission Interval (TTI) are deployed, then more UEs can be scheduled simultaneously, but processing resource cost increases
Solution Approach 1:
The patent combines multiple scheduling functions into a shared spectrum pool architecture. Instead of having separate scheduling entities for each cell, the system uses a unified scheduling approach where multiple UEs can be scheduled through the shared pool, reducing the total number of scheduling entities and processing resource consumption while maintaining the ability to schedule multiple UEs simultaneously.
Solution Approach 2:
The patent creates virtual copies of spectrum resources through the shared pool mechanism. Rather than physically duplicating spectrum for each cell, the system uses virtualization to allow multiple cells to access the same physical spectrum resources, reducing processing overhead while maintaining scheduling flexibility for multiple UEs.
3Reliability
If cells use non-overlapping spectrum, then interference is minimized and connection reliability is high, but spectrum utilization efficiency decreases
Solution Approach 1:
The patent introduces dynamic spectrum allocation through shared pools. Instead of static, dedicated spectrum assignment, the system dynamically allocates spectrum resources from shared pools to different cells based on real-time demand and conditions. This dynamic approach allows spectrum to be reused across cells while maintaining connection reliability through adaptive resource management.
Solution Approach 2:
The patent changes the fundamental parameter of spectrum allocation from dedicated to shared. By modifying how spectrum resources are assigned and managed, the system allows multiple cells to access the same frequency resources through shared pools, improving spectrum utilization efficiency while maintaining reliability through coordinated access mechanisms.
Data Source
AI summary
A method performed by a network node is provided. The method is for scheduling one or more User Equipments, UEs, in respective upcoming data transmissions in a wireless communications network. The network node schedules (702) a first UE over at least a part of one first cell, for an upcoming first data transmission. The first cell comprises overlapping carrier spectrum to be used by the first cell and enabled to be used by at least one second cell. The first cell is associated with which first cell (11) is associated with a processing resource cost and a radio resource cost for scheduling.