CDMA Base Station Hardware Dimensioning Optimization
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Solution Overview
Problem
Existing methods for dimensioning CDMA communication networks fail to simultaneously address connection-oriented and carrier-oriented hardware requirements, particularly in considering soft capacity and multiple bearer services, leading to inadequate handling of network load and blocking probabilities.
Innovation Solution
A method for simultaneous dimensioning of channel elements and modems in a base station, incorporating soft capacity and predefined blocking probabilities, which optimizes hardware components by formulating an optimization problem to minimize costs while ensuring blocking probabilities are met, using a software program to determine the minimum required hardware components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate dimensioning methods are used for connection-oriented and carrier-oriented hardware, then each hardware type can be dimensioned according to its specific requirements, but both hardware types cannot be dimensioned simultaneously
Solution Approach 1:
The patent combines separate dimensioning methods for connection-oriented hardware (Erlang B) and carrier-oriented hardware (multi-dimensional Erlang) into a unified optimization framework. The objective function simultaneously minimizes both channel elements and modem pairs, while constraints incorporate both blocking probability requirements and soft capacity limitations, enabling simultaneous dimensioning of both hardware types.
Solution Approach 2:
The optimization framework serves multiple dimensioning functions simultaneously: it dimensions connection-oriented channel elements, carrier-oriented modem pairs, considers soft capacity effects, and ensures blocking probability requirements are met for multiple bearer services. This multi-functional approach replaces multiple separate dimensioning procedures.
2Reliability
If traditional Erlang-based methods are used for dimensioning, then blocking probability can be controlled, but soft capacity and network load effects are not considered
Solution Approach 1:
The patent extends traditional Erlang-based dimensioning by introducing additional parameters: soft capacity constraints that limit the number of simultaneous connections based on network load, and activity factors that model user behavior. These parameter extensions allow the framework to simultaneously control blocking probability while accounting for soft capacity effects in CDMA networks.
3Productivity
If hardware components are dimensioned for one target throughput, then that specific throughput requirement is met, but multiple bearer services with different requirements cannot be accommodated
Solution Approach 1:
The patent moves from single-dimension throughput optimization to multi-dimensional optimization by incorporating multiple bearer service requirements with different throughput, delay, and blocking probability constraints. The objective function and constraints operate in a expanded parameter space that simultaneously accommodates diverse service requirements.
Data Source
AI summary
The invention relates to a method for dimensioning hardware components for base stations of CDMA communication networks, especially hardware components of a UMTS base Station (node B). The number of hardware components, that is Channel elements (CE) and modems (M), required for the individual base stations in order to maintain a defined blocking probability, is determined on the basis of the spatial traffic distribution and a CDMA network comprising base stations.