Power Control for MUD Ad-Hoc Networks
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Solution Overview
Problem
Multiuser detector (MUD) enabled ad-hoc networks face challenges with finite dynamic range, leading to significant error rates due to varying signal powers among users, which is exacerbated by the lack of power control in mobile ad-hoc networks, resulting in unreliable communication.
Innovation Solution
Implementing power aware scheduling and power control algorithms to adjust transmit power and schedule packet transmissions, ensuring that all signals remain within the MUD's dynamic range and maintain a minimum signal-to-noise ratio, thereby reducing interference and error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power control is implemented in MUD-enabled ad-hoc networks, then communication reliability is improved, but system complexity increases
Solution Approach 1:
The patent implements power control by dynamically adjusting the transmit power parameter of nodes in the ad-hoc network. The system monitors received signal power levels and modifies transmission power to maintain signals within the MUD's finite dynamic range, thereby improving communication reliability while managing system complexity through parameter optimization
Solution Approach 2:
The patent employs feedback mechanisms where nodes monitor the power levels of received signals and use this information to adjust their own transmit power. This closed-loop control system continuously adapts power levels based on network conditions, ensuring reliable communication while distributing the control complexity across multiple nodes rather than requiring centralized management
2Measurement precision
If transmit power is increased to ensure signal reception, then signal-to-noise ratio is improved, but power spread increases causing interference
Solution Approach 1:
The patent optimizes the transmit power parameter to achieve the minimum necessary power level for acceptable signal-to-noise ratio at the receiver. By adjusting power levels dynamically rather than using fixed high power, the system maintains measurement precision while minimizing the generation of harmful interference to other users in the network
Solution Approach 2:
The patent applies partial power transmission by sending signals at the minimum sufficient power level rather than maximum power. This partial action approach provides just enough signal-to-noise ratio for reliable communication while avoiding excessive power transmission that would create interference, thereby resolving the contradiction between signal quality and interference generation
3Device complexity
If power control is not implemented, then system complexity is reduced, but error rates increase due to finite dynamic range
Solution Approach 1:
The patent implements power control by dynamically adjusting the transmit power parameter of nodes in the ad-hoc network. The system monitors received signal power levels and modifies transmission power to maintain signals within the MUD's finite dynamic range, thereby improving communication reliability while managing system complexity through parameter optimization
Solution Approach 2:
The patent applies preliminary power adjustment before signal transmission to ensure that signals fall within the acceptable dynamic range of the MUD system. By pre-controlling power levels based on estimated channel conditions and node positions, the system prevents error-prone transmissions before they occur, improving reliability without requiring complex real-time correction mechanisms
Data Source
AI summary
What is provided is a system for maintaining acceptable error rates in a MUD-enabled ad-hoc network. In this system the power spread associated with all of the nodes is maintained within the dynamic range of the system, for instance 30 dB. Also, the signal-to-noise ratio at an intended receiver is maintained above a predetermined minimum SNR, for instance above 5 dB. If the dynamic range rule is not met, then the power at the transmitting node is attenuated such that the dynamic range rule is met, checking to see that the minimum SNR rule is also met, or the transmission from this node is pulled. If there is no power control solution, then power aware scheduling is applied. Alternatively, only power aware scheduling is utilized.