Dynamic SNR Bias Adjustment for Heterogeneous Network Load Balancing
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Solution Overview
Problem
In heterogeneous wireless communication networks, the fixed signal-to-noise ratio (SNR) bias fails to dynamically adjust to the varying relative load between macro and micro base stations, leading to inefficient load distribution and handoff decisions.
Innovation Solution
A method and device that determine the relative load of access terminals served by macro and micro base stations, adjust the SNR bias accordingly, and communicate the adjusted bias to access terminals, allowing them to prefer service from the micro base station if the detected SNR is within a threshold differential below the macro base station's SNR, thereby optimizing load distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed SNR bias is used for handoff decisions, then handoff threshold is simple to implement, but load distribution between macro and micro base stations becomes inefficient
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed SNR bias to a dynamic SNR bias that varies based on the relative load between macro and micro base stations. The bias is continuously adjusted according to real-time load conditions, allowing the handoff threshold to adapt automatically to changing network states and optimize load distribution without requiring complex manual reconfiguration.
2Productivity
If SNR bias is dynamically adjusted based on load, then load distribution efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements feedback by establishing a closed-loop system where load information from macro and micro base stations is continuously monitored, compared, and used to adjust the SNR bias. The mechanism receives feedback about relative load conditions and automatically modifies the handoff threshold accordingly, creating an adaptive system that improves load distribution while managing complexity through automated feedback-driven adjustments.
Data Source
AI summary
A method and system is disclosed for dynamically adjusting a signal-to-noise (SNR) bias based on relative load between a macro type base station and a micro type base station of a wireless communication system. The SNR bias corresponds to a threshold differential SNR between SNRs of the macro base station and of the micro base station, wherein the SNR bias is configured to be provided to an access terminal (or user equipment) to cause the access terminal (i) to be biased to seek service from the micro base station if the access terminal detects an SNR from the micro base station that is less than the threshold differential SNR below an SNR that the access terminal detects from the macro base station, and (ii) to be biased to seek service from the macro base station otherwise. Once the SNR bias is determined based on the relative load, it is communicated to one or more access terminals.