Distributed Transmitter Power Coordination via SINR Feedback
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Solution Overview
Problem
Existing telecommunications systems face challenges in coordinating transmitters that use common radio resources, leading to interference issues, especially in scenarios without a central infrastructure for coordination, such as those using unlicensed frequency bands or Wi-Fi technology, which are exacerbated by the growth of IoT and smart grid networks.
Innovation Solution
A method that allows transmitters to estimate and exchange channel gains through simultaneous power level coding, enabling each transmitter to determine its own power allocation to minimize global interference, using a system of equations based on received SINR estimates, without relying on iterative processes, and is compatible with various utility functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a centralized coordination infrastructure is used to coordinate transmitters, then interference between transmitters can be reduced, but the system complexity and infrastructure requirements increase
Solution Approach 1:
Each transmitter autonomously determines its power allocation by solving the system of equations using locally available SINR estimates and channel gain information, without requiring centralized coordination. The transmitters self-organize the coordination process by simultaneously transmitting power levels that encode channel gains, enabling distributed interference management
Solution Approach 2:
The patent uses SINR estimates as an intermediary parameter that indirectly conveys channel state information between transmitters without requiring direct exchange of detailed channel data. This intermediary approach simplifies the coordination mechanism while still enabling effective interference management through the mathematical relationship between SINR and channel gains
2Productivity
If iterative algorithms are used for power allocation, then power distribution can be optimized, but the convergence time and computational overhead increase
Solution Approach 1:
The patent performs preliminary estimation of channel gains and SINR values before the actual power allocation decision. By pre-computing the system of equations with available estimates, the method avoids iterative refinement during the actual power allocation phase, achieving optimal power distribution in a single computational step rather than through repeated iterations
3Adaptability or versatility
If transmitters use unlicensed frequency bands or Wi-Fi technology, then spectrum availability increases, but coordination capability is lost due to absence of infrastructure
Solution Approach 1:
Transmitters operating in unlicensed bands or Wi-Fi networks autonomously perform coordination by independently solving the power allocation equations using locally measured SINR values and estimated channel gains from other transmitters' signals, eliminating the need for centralized infrastructure while maintaining coordination capability
Solution Approach 2:
The patent replaces the mechanical/physical coordination infrastructure with a mathematical/computational approach, using system of equations and algebraic solutions to achieve coordination that traditionally required physical centralized control systems, thereby enabling operation in infrastructure-less environments
Data Source
AI summary
A method of coordinating a transmitter with K−1 transmitters of a group of K transmitters. The K transmitters are in communication respectively with K receivers via channels that are described, for a frequency band m by direct transmission channel gains (gji,m) when j=i and by interfering transmission channel gains (gji,m) when j≠i between the transmitter j and the receiver i, i∈{1, . . . , K}, j∈{1, . . . , K}, K>1. Each transmitter has available an estimate of the direct channel gain and estimates of the gains of channels interfering with its receiver. The method includes an “exchange” stage during which the K transmitters transmit simultaneously K respective sequences of subframes of respective power levels per band m coding the estimated channel gains (ĝji,m) and during which the K transmitters receive, after each subframe, signal to interference plus noise ratios as returned by the K receivers to their respective transmitters.