Dynamic Power Spectrum Allocation for Wireless Backhaul Interference
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Solution Overview
Problem
Current wireless networks face challenges in efficiently mitigating interference, particularly in Non Line of Sight (NLOS) wireless backhaul networks, where traditional methods are computationally complex and slow in convergence, limiting data capacity and system reliability.
Innovation Solution
The development of iterative methods such as IFEM and Theta-IFEM for power spectral density optimization, which update power levels at each tone or tone set, using frequency domain channel gains to dynamically allocate power and reduce interference, with the goal of maximizing network utility and achieving faster convergence and lower complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional power spectrum optimization methods are used, then interference mitigation is achieved, but computational complexity increases and convergence speed decreases
Solution Approach 1:
The patent segments the power spectrum optimization problem into individual tone-based subproblems. Instead of optimizing the entire spectrum simultaneously, the method divides it into discrete tones that can be optimized independently through iterative updates, reducing computational complexity while maintaining interference mitigation effectiveness
Solution Approach 2:
The patent implements dynamic power allocation where power levels are continuously adjusted based on current interference conditions and channel states. This dynamic approach allows the system to adapt to changing network conditions in real-time, achieving better interference mitigation with lower computational overhead compared to static optimization methods
2Reliability
If traditional power spectrum optimization methods are used, then interference mitigation is achieved, but convergence speed decreases
Solution Approach 1:
The patent employs periodic iterative updates of power levels at each tone based on measured interference and channel conditions. This periodic adjustment mechanism enables the system to converge faster to optimal power allocation by making incremental improvements in each iteration rather than requiring complex global optimization
Solution Approach 2:
The patent implements a feedback mechanism where power levels are adjusted based on measured interference and channel state information from previous iterations. This feedback-driven approach accelerates convergence by using actual system performance data to guide power allocation decisions, rather than relying on theoretical optimization alone
3Productivity
If dynamic power spectrum allocation is implemented, then data capacity increases, but system complexity increases
Solution Approach 1:
The patent changes the power parameter dynamically across different frequencies and time based on channel conditions and interference levels. By adjusting this single critical parameter (power allocation) in a structured manner, the system achieves increased data capacity without requiring complex changes to the overall network architecture or protocol stack
Data Source
AI summary
Systems, methods and apparatuses are provided for mitigating interference in wireless networks, and particularly in an advanced backhaul wireless network comprising several hubs, each hub serving its own remote backhaul modules (RBMs). Preferred embodiments provide practical power spectrum adaptation methods for the management of interhub interference. These methods are shown to improve the overall network throughput significantly compared to a conventional network with fixed transmit power spectrum. Optionally, joint scheduling and power control are used to optimize the network utility. Also provided are methods which evoke the channel average gains generated by measurements for managed adaptive resource allocation (MARA). The proposed methods are computationally feasible and fast in convergence. They can be implemented in a distributed fashion across all hubs. Some of the proposed methods can be implemented asynchronously at each hub.