Wireless Network Resource Adaptation via Dynamic Pilot Allocation
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Solution Overview
Problem
Wireless communication systems face performance degradation due to dynamic and spatially non-uniform traffic loads, leading to interference and inefficient resource allocation across cells and sectors.
Innovation Solution
A method involving a base station controller that analyzes network data flow options, adjusts pilot usage based on loading and interference, and redistributes resources to balance load and improve data rates, using cross-pilot coupling estimations and feedback from access terminals to optimize data flow routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network resources are allocated based on traditional methods, then system capacity is maintained, but performance degrades under dynamic and spatially non-uniform traffic loads
Solution Approach 1:
The patent implements dynamic resource allocation by continuously monitoring traffic loads across multiple cells and sectors, and adapting pilot usage and data flow routing in real-time. The base station controller dynamically adjusts network resources based on current loading conditions, transforming the static resource allocation into a dynamic system that responds to changing traffic patterns.
Solution Approach 2:
The system changes operational parameters including pilot usage patterns, data flow routing decisions, and resource allocation strategies based on monitored traffic loads. By adjusting these parameters dynamically, the system adapts to spatially non-uniform and time-varying traffic conditions, improving overall network performance.
2Quantity of substance
If more network equipment is deployed to handle increased traffic, then capacity increases, but system complexity and cost increase
Solution Approach 1:
The patent optimizes existing network resources by discarding inefficient resource allocations and recovering underutilized capacity. Through intelligent routing and load balancing, the system recovers lost capacity from overloaded sectors and redirects it to high-demand areas, increasing effective network capacity without adding physical equipment.
Solution Approach 2:
The system increases network capacity by changing operational parameters such as pilot usage efficiency, data flow routing, and load distribution across sectors. These parameter adjustments maximize the utilization of existing resources, effectively increasing capacity without requiring additional network infrastructure.
3Speed
If data flow is concentrated on high-capacity pilots, then data rates improve, but cross-cell interference increases
Solution Approach 1:
The patent applies local quality by making routing decisions specific to each cell and sector context. Instead of a uniform high-capacity pilot strategy, the system selects pilots and routes data flows based on local interference conditions, traffic patterns, and channel characteristics of each specific area, optimizing performance while minimizing local interference.
Solution Approach 2:
The base station controller acts as an intermediary that coordinates data flow routing across multiple cells. It mediates between competing data flow demands and interference constraints by making intelligent routing decisions that balance data rate objectives with interference management, preventing any single cell from generating excessive harmful interference.
4Quantity of substance
If pilot usage is increased to accommodate more users, then system capacity increases, but interference to other transmissions increases
Solution Approach 1:
The system optimizes the parameter of pilot usage by dynamically adjusting which pilots are used, how they are allocated, and their transmission characteristics. This intelligent parameter management allows the system to accommodate more users and increase capacity while controlling interference through coordinated resource allocation and load management.
Data Source
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AI summary
A method of regulating data flow in a wireless communication network includes: collecting data regarding dynamic loading of sector-carrier pairs (pilots) in communication sectors of the wireless communication network; obtaining data rates for data flows of the pilots to access terminals within the wireless communication network; determining one or more pilots to use for conveying data in the wireless communication network based on the data rates and the dynamic loading; and altering data flow over the pilots by at least one of changing a data rate over at least one of the pilots or changing a combination of pilots used by the wireless communication network for conveying data to increase total data flow.