Mobile Network Power Control via Load-Dependent Utility Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing power control methods in mobile networks, such as dynamic power control in OFDMA networks, optimize instantaneous Quality of Service (QoS) metrics but fail to directly link these to average quality criteria like communication blocking rate and file transfer time, and lack proven stability and optimality, especially under varying traffic conditions.
Innovation Solution
A power control method that adjusts the power transmitted by each serving station based on traffic load and throughput, using a utility function that increases with load, allowing for convergence to a stable optimal state, and is linked to average QoS criteria, with low signaling and calculation loads, and no central coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dynamic power control methods are used to optimize instantaneous QoS metrics, then instantaneous QoS is improved, but the link to average quality criteria (blocking rate, file transfer time) is lost and stability cannot be guaranteed
Solution Approach 1:
The patent transforms the power control problem by changing the optimization parameter from instantaneous QoS metrics to average quality criteria (blocking rate, file transfer time). This parameter transformation allows the system to optimize for long-term network performance rather than short-term fluctuations, providing both improved instantaneous QoS and guaranteed stability under varying traffic conditions.
Solution Approach 2:
The patent implements a feedback mechanism where base stations exchange information about average quality criteria and adjust their transmission powers accordingly. This feedback loop enables the system to converge to a stable equilibrium point while continuously improving network performance, resolving the contradiction between instantaneous optimization and long-term stability.
2Reliability
If power control methods are implemented to reduce interference, then QoS is improved, but computational complexity and signaling overhead increase
Solution Approach 1:
The patent extracts the essential elements needed for power control by base stations exchanging only critical information (average quality criteria measurements) through existing interfaces. This extraction approach reduces computational complexity by focusing only on necessary calculations while maintaining QoS improvement through targeted interference management.
3Reliability
If existing power control methods are used, then instantaneous QoS is optimized, but they fail under varying traffic conditions and do not converge to stable configuration
Solution Approach 1:
The patent makes the power control system dynamic by base stations repeatedly measuring average quality criteria and adjusting transmission powers in response to varying traffic conditions. This dynamic adaptation allows the network to converge to stable configurations regardless of traffic fluctuations, resolving the contradiction between instantaneous optimization and adaptability.
Data Source
Figure 1~2
Figure 3~4
AI summary
The invention relates to a method for controlling power in a mobile network, said method including the following steps, for each server station s, where s = 1,...A, belonging to a group of A server stations, where A = 2, each transmitting at a power P s (b) , where b = 1,...,B, in B frequency sub-bands, with B = 1: a) receiving, from mobile terminals served by said server station s, radio parameter measurements taken by said mobile terminals; b) calculating at least one predetermined value formula (AA), where b? [1,...,B], using said measurements; c) transmitting the respective value formula (AA) to at least one other server station t, or to another device associated with said server station t, and receiving the equivalent value formula (BB) from at least said server station t or said associated device; d) calculating derivatives formula (CC), using at least said value formula (BB), where U is a predetermined utility function for said network; and e) updating the transmission powers P s (b) so as to reduce the value of said utility function U. Said method is characterized in that the utility function formula (DD) is an increasing function of the load formula (EE), where s = 1,..., A, defined over a predetermined time period T, for each server station of said group, said load formula (EE) depending on traffic flow volumes arriving in the geographic area D served by the server station s and flow rates provided by said server station, and in that said value formula (BB) is representative of the quantity formula (FF).