Assignment Server Cell Allocation for Cellular Load Balancing
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Solution Overview
Problem
Cellular communication systems face challenges in managing communication cells and users due to overloading, leading to dropped connections and inefficient traffic distribution between servers, especially in emergency situations where connectivity is critical.
Innovation Solution
A method for assigning communication cells to voice traffic servers based on determined affinity, using geographic and group affinities to minimize inter-server traffic and optimize load balancing, involving an assignment server that reassigns cells from overloaded servers to less loaded ones to maintain continuous communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the main voice server assigns coverage areas to local voice servers based on simple load balancing, then server overload is reduced, but inter-server traffic increases and system performance deteriorates
Solution Approach 1:
The patent introduces an assignment server as an intermediary between the main voice server and local voice servers. This assignment server maintains network topology information and makes intelligent cell-to-server assignments based on affinity calculations, reducing inter-server traffic while preventing server overload. The intermediary resolves the contradiction by adding intelligence to the assignment process rather than using simple load balancing.
Solution Approach 2:
The system performs preliminary assignment of communication cells to local voice servers based on affinity calculations before actual communication occurs. The assignment server pre-determines the optimal server for each cell considering network topology and group communication patterns, preventing overload and minimizing inter-server traffic in advance rather than reacting to load conditions.
2Device complexity
If local voice servers handle all communication traffic independently, then server complexity is reduced, but inter-server communication becomes necessary and increases traffic load
Solution Approach 1:
The assignment server acts as an intermediary that coordinates between local voice servers, maintaining network topology information and making intelligent assignments. This intermediary enables local servers to handle traffic independently while minimizing inter-server communication through affinity-based cell assignments, reducing unnecessary traffic load.
3Ease of operation
If communication cells are assigned without considering network topology, then assignment simplicity is maintained, but inter-server traffic increases due to lack of awareness of cell locations
Solution Approach 1:
The assignment server serves as an intermediary that maintains network topology information and performs affinity calculations to determine optimal cell-to-server assignments. This intermediary adds intelligence to the assignment process without complicating local server operations, reducing inter-server traffic through topology-aware assignments while keeping local servers simple.
Solution Approach 2:
The patent extracts the complexity of network topology management and affinity calculations from local voice servers and concentrates it in the assignment server. The assignment server takes out the intelligent decision-making function, allowing local servers to remain simple while achieving topology-aware cell assignments that minimize inter-server traffic.
Data Source
AI summary
A system and method for assigning communication cells to servers in a cellular communication system. The method includes determining an affinity between a communication cell and a plurality of servers and assigning the communication cell to one of the plurality of servers based on the determined affinity.