Joint Transmit Power and Rate Optimization for User Fairness
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Solution Overview
Problem
Conventional schedulers in wireless communication networks fail to directly follow the desired normalized Cumulative Distribution Function (CDF) of user transmission rates, leading to suboptimal user fairness, as they are not designed with CDF requirements in mind and rely on other fairness criteria like proportional or maxmin fairness.
Innovation Solution
A method for joint optimization of transmit power and transmission rate that involves obtaining normalized power values, determining non-linear combinations of transmit and normalized powers, and updating transmit powers based on transmission rate targets and constraints to achieve a desired CDF, ensuring user fairness by arranging these values in specific sequences and providing location sequence numbers to transmitters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional schedulers are used to ensure user fairness based on proportional or maxmin fairness criteria, then user fairness is maintained to some extent, but the desired normalized CDF of transmission rate cannot be directly achieved
Solution Approach 1:
The patent transforms the fairness control problem from using conventional fairness criteria (proportional fairness, maxmin fairness) to directly controlling the CDF profile parameter. By changing the control parameter from fairness criteria to desired CDF profile, the system can precisely achieve the target transmission rate distribution while maintaining manageable complexity through iterative water-filling algorithms.
2Manufacturing precision
If joint optimization of transmit power and transmission rate is performed to achieve desired CDF, then user fairness and CDF accuracy are improved, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-sorting the transmit powers and noise powers before performing the joint optimization. This preprocessing step organizes the data in a way that enables the iterative water-filling algorithm to converge faster and with lower computational complexity, while still achieving the desired CDF accuracy through the subsequent joint optimization of transmit power and transmission rate.
3Productivity
If transmit power is increased to improve transmission rate and fairness, then user service quality is improved, but energy consumption and interference increase
Solution Approach 1:
The patent implements feedback mechanisms where receivers feed back normalized power values (interference plus noise) to transmitters. This feedback enables the transmitters to adjust their transmit powers optimally based on actual channel conditions, achieving the desired transmission rate and fairness while minimizing energy consumption through adaptive power control rather than uniform power increase.
4Manufacturing precision
If new joint optimization method is implemented to achieve desired CDF, then fairness and CDF accuracy are improved, but backward compatibility with existing systems is reduced
Solution Approach 1:
The patent applies segmentation by dividing the joint optimization into separate processing stages: receivers independently calculate and feed back normalized power values, central controller performs sorting and iterative water-filling optimization, and transmitters implement power adjustments. This segmented approach allows incremental deployment and maintains compatibility with existing system components while achieving advanced CDF profile control.
Data Source
AI summary
Embodiments of the present disclosure provide communication methods and devices for joint optimization of transmit power and transmission rate to ensure user fairness. The method described herein comprises: obtaining, from receivers of a plurality of communication links, respective normalized power values of sums of interference and noise experienced by the receivers and transmit power values of transmitters of the plurality of communication links. Each of the plurality of links supports a plurality of service types of transmissions, respective transmission rate targets are defined for the plurality of service types according to different qualities of service required by the plurality of service types, and the transmission rate targets are sorted as a first sequence in a first order. The method also comprises determining, for the plurality of links, values of non-linear combinations of the transmit powers and the normalized powers corresponding to the plurality of links respectively. The method also comprises arranging the values of the non-linear combinations corresponding to the plurality of links as a second sequence in the first order. The method also comprises providing the transmitters of the plurality of links with location sequence numbers of the values of the non-linear combinations in the second sequence.