Self-Optimizing Network Entity for Distributed Antenna Systems
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Solution Overview
Problem
In distributed antenna systems, adjacent remote units transmitting at the same frequencies cause signal interference due to shared network resources, leading to reduced network performance and reliability.
Innovation Solution
A self-optimizing network entity determines isolation levels between remote units and allocates network resources based on these measurements, either reusing frequencies where interference is low or assigning different resources where interference is high, to minimize signal interference and optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adjacent remote units transmit signals using the same network resources (frequencies), then network resource utilization is improved, but signal interference increases
Solution Approach 1:
The system dynamically changes the frequency allocation parameters for different remote units based on measured isolation levels. When isolation between adjacent remote units is sufficient, the system assigns them the same frequency to improve resource utilization. When isolation is insufficient, it assigns different frequencies to eliminate interference, thus resolving the contradiction between resource utilization and interference prevention.
Solution Approach 2:
The system implements a feedback mechanism where remote units continuously measure the isolation level between adjacent units and report this information to the network entity. Based on this feedback, the network entity dynamically adjusts frequency allocation decisions, allowing the system to adapt to changing conditions and optimize the balance between resource utilization and interference management.
2Reliability
If network resources are dynamically allocated based on isolation levels, then spectral efficiency is improved, but system complexity increases
Solution Approach 1:
Remote units autonomously measure their own isolation levels with adjacent units and report this information to the network entity. This self-service approach distributes the measurement function across multiple units rather than requiring a complex centralized measurement system, thereby improving spectral efficiency while limiting the increase in overall system complexity.
Solution Approach 2:
The system divides the complex task of interference management into separate functions: remote units perform isolation measurements, the network entity performs frequency allocation decisions, and each remote unit applies its allocated frequencies. This segmentation allows the system to achieve dynamic resource optimization without requiring any single component to be overly complex.
Data Source
AI summary
Certain features relate to a self-optimizing network entity configured for use with a distributed antenna system having a head end-unit configured to communicate wireless communication information to a plurality of remote units for transmission at a plurality of sites, the self-optimized network entity comprising circuitry configured to determine a network resource allocation plan for the plurality of remote units within the distributed antenna system based on an isolation level determined by at least one of the plurality of remote units based on a power level of a test signal received from at least one of the plurality of remote units.