Wireless Data Scheduling Using Overlapping Frequency Bands
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile service carriers face inefficiencies in using allocated radio frequency spectrum due to UEs operating on 5 MHz channel bandwidths, leading to significant bandwidth loss and spectrum inefficiency.
Innovation Solution
Divide the 7 MHz band into two 5 MHz bands with 3 MHz overlap, maintaining average data rates for UEs on each band and allocating PRBs based on a metric that balances channel quality and data rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If hardware filters are implemented on ground-based network towers to send communications in sub-spectrums, then spectrum efficiency is improved, but device complexity and implementation cost increase
Solution Approach 1:
The 7 MHz band is segmented into two 5 MHz bands with overlapping frequency ranges, allowing UEs to be assigned to different segments based on their capabilities. This segmentation enables efficient spectrum utilization without requiring complex hardware filters at the base station.
Solution Approach 2:
The system changes the parameter of frequency band assignment by allowing UEs to operate on overlapping frequency bands (first 5 MHz band and second 5 MHz band) rather than requiring non-overlapping allocations. This parameter change enables full utilization of the 7 MHz band without additional hardware complexity.
2Loss of energy
If the 7 MHz band is divided into two 5 MHz bands with overlap, then spectrum efficiency is improved, but scheduling complexity increases
Solution Approach 1:
The system performs preliminary actions by maintaining average data rates for each UE in advance and calculating metrics based on channel quality indicators and average data rates before actual resource allocation. This preliminary preparation simplifies the real-time scheduling decision-making process.
Solution Approach 2:
The scheduling mechanism uses feedback from channel quality indicators and maintained average data rates to dynamically adjust resource allocation. This feedback loop enables the system to optimize bandwidth utilization while managing scheduling complexity through informed decision-making based on current channel conditions.
3Productivity
If PRBs are allocated based on metric ratio of channel quality to average data rate, then productivity is improved, but measurement precision requirements increase
Solution Approach 1:
The system uses feedback from channel quality indicators (CQI) reported by UEs to determine metric ratios for PRB allocation. This feedback mechanism enables the base station to allocate resources efficiently based on actual channel conditions while managing measurement precision requirements through standardized CQI reporting procedures.
Solution Approach 2:
The system changes the allocation parameter from simple channel quality-based allocation to a metric ratio that incorporates both channel quality indicator and average data rate. This parameter change enables more nuanced productivity optimization while working within the measurement precision constraints of existing CQI reporting mechanisms.
Data Source
AI summary
A system for scheduling wireless data transmissions divides a band allocated to the mobile service carrier into two overlapping bands. Then each user equipment (UE) of a plurality of UEs that connects to the ground-based network of the mobile service carrier is assigned to one of the two overlapping bands. The system allocates at a given scheduling time, physical resource blocks (PRBs) to UEs up to a maximum number of PRBs available for the particular overlapping frequency band to which the UE is assigned based on a metric for the UE that is a ratio of a downlink channel quality indicator for the UE to the average data rate of the UE at the given time, giving higher priority for PRB allocation to UEs that have a larger metric than other UEs of the plurality of UEs.