Reverse Link Hopping Permutation for Lower Signaling Overhead
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication systems face challenges in maintaining older network systems to fully exploit new device capabilities, particularly in managing transmission resources efficiently as mobile device processing power increases, leading to difficulties in reducing signaling overhead, improving throughput, and enhancing robustness.
Innovation Solution
A method for generating a permutation for reverse link hopping is introduced, involving initializing permutation constants, using a Pseudo-noise (PN) register to generate pseudorandom numbers, and swapping elements in an array to map hop-ports to sub-carriers, thereby optimizing resource allocation and improving system efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional wireless network systems are used, then system stability is maintained, but signaling overhead increases and throughput decreases
Solution Approach 1:
The patent changes the parameters of the hopping sequence generation by using a modified permutation algorithm that takes device capabilities into account. This allows the system to adapt transmission parameters dynamically, improving throughput while reducing signaling overhead through more efficient resource allocation.
Solution Approach 2:
The invention introduces dynamic adaptation where the hopping sequence generation responds to real-time device capabilities and network conditions. The system dynamically adjusts transmission resources based on mobile device processing power and other capabilities, optimizing throughput without increasing signaling overhead.
2Power
If mobile device capabilities are expanded, then processing power increases, but device complexity increases
Solution Approach 1:
The patent implements a universal hopping sequence generation mechanism that works across devices with different capabilities. The base station handles the complex permutation generation centrally, allowing mobile devices to benefit from advanced processing capabilities without each device needing to implement complex algorithms independently.
Solution Approach 2:
The base station acts as an intermediary that generates and manages the complex hopping sequences. Mobile devices with enhanced processing power can receive and execute these sequences efficiently, while the complexity management remains centralized, reducing individual device complexity requirements.
3Adaptability or versatility
If older wireless network systems are maintained, then system reliability is preserved, but adaptability to new device capabilities decreases
Solution Approach 1:
The patent uses preliminary action by pre-calculating and storing permutation sequences at the base station based on anticipated device capabilities. When new devices connect, the system can quickly assign appropriate hopping sequences without real-time computation, maintaining reliability while adapting to new capabilities.
Solution Approach 2:
The invention segments the hopping sequence generation into different levels: a base permutation algorithm that ensures reliability and advanced permutation variations that provide adaptability. This segmentation allows the system to maintain core reliability functions while adding adaptive capabilities for new devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces signaling overhead, enhances system throughput, increases flexibility, and improves robustness by efficiently managing transmission resources and reducing processing power, thereby supporting advanced wireless device capabilities.
Implementation Method 1
clocking a Pseudo-noise (PN) register n times to generate a pseudorandom number
Data Source
AI summary
A method and apparatus for generating a permutation for reverse link hopping is provided, comprising initializing permutation constants, determining a value for p such that i<2p wherein i is a value of a first counter, initializing a second counter j to ‘0’, setting x to i+1 wherein x is index of elements of an array A, clocking a Pseudo-noise (PN) register n times to generate a pseudorandom number, setting x to p Least Significant Bits (LSB) of the pseudorandom number, incrementing j by 1, determining if j is equal to 3 or x is less than or equal to i, determining if x is greater than i, setting x equal to x−i, swapping the ith and xth element in the array A, decrementing counter i by 1, and mapping a set of hop-ports to a set of sub-carriers based upon the generated hop-permutation.