TFDMA Ad Hoc Network Permutation Signal Model for Interference Resistance
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Solution Overview
Problem
Current wireless communication technologies face challenges in supporting simultaneous operation of multiple robots and large-scale sensor/machine access without interference, particularly in ensuring reliable transmission and high user access density in TFDMA ad hoc networks.
Innovation Solution
The development of an n-dimensional dual-domain modulation signal model and permutation array constellation diagram using a permutation matrix, which introduces time and modulation domain diversity, enabling interference-resistant access and ultra-low complexity encoding, decoding, and detection algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple robots and sensors access the network simultaneously using conventional wireless technologies, then user access density increases, but interference between users increases and transmission reliability deteriorates
Solution Approach 1:
The patent segments the network access problem by dividing users into different groups based on their access patterns and requirements. It implements group-based scheduling where users are organized into multiple groups that can be scheduled independently, reducing inter-user interference while maintaining high access density. This segmentation allows the system to manage multiple simultaneous accesses without the chaos of uncoordinated conventional approaches.
Solution Approach 2:
The patent employs dynamic scheduling mechanisms that adapt to changing network conditions in real-time. The base station dynamically adjusts scheduling decisions, resource allocation, and power control based on current channel states, user activity patterns, and interference levels. This dynamic approach enables the system to maintain transmission reliability even as user access density fluctuates, resolving the contradiction between quantity and quality of service.
2Adaptability or versatility
If conventional wireless access methods are used to support simultaneous robot operations, then multiple users can access the network, but signal interference and transmission reliability issues arise
Solution Approach 1:
The patent implements comprehensive feedback mechanisms where users continuously report channel quality indicators, interference levels, and reception status to the base station. The base station uses this feedback to adjust scheduling decisions, modify resource allocation, and control transmission power levels. This closed-loop feedback system enables the network to adapt to interference conditions dynamically, maintaining multi-user access capability while actively managing and reducing signal interference through informed decision-making.
Solution Approach 2:
The patent changes key transmission parameters dynamically to manage interference. It adjusts modulation schemes, coding rates, time slot allocations, and frequency assignments based on current network conditions. By varying these parameters adaptively rather than using fixed conventional settings, the system can support diverse user access patterns while minimizing harmful interference effects through optimized parameter selection for each specific situation.
3Quantity of substance
If TFDMA network is designed to increase user access density by 10-100 times, then more users can connect without interference, but the complexity of signal modeling and constellation diagram construction increases
Solution Approach 1:
The patent segments the complex signal modeling task by dividing it into modular components that can be handled independently. It separates physical layer coding, modulation, and access signal modeling into distinct modules based on permutation matrix theory. This modular segmentation allows each component to be optimized separately while maintaining overall system coherence, making the complex TFDMA signal model manageable and implementable despite the high user access density requirements.
Solution Approach 2:
The patent develops universal signal models and permutation-based coding schemes that can serve multiple functions simultaneously. The same permutation matrix framework is used for encoding, modulation, and access signal generation, eliminating the need for separate complex models for each function. This multi-functionality approach reduces overall system complexity while supporting the high user access density of 10-100 times improvement, as a single unified mathematical framework handles multiple aspects of signal processing.
Data Source
AI summary
The disclosure discloses a method for constructing a TFDMA random self-organizing ad hoc network: the total spectrum bandwidth W is divided into N=W/Δf sub-channels, and Δf represents the bandwidth of one sub-channel. 24 hours a day is divided into U epochs, V time frames, S time slots, and E time chips. In an epoch of sub-channel bandwidth Δf, the last time slot is connected to the first time slot to form a time-frequency loop net. The N epoch-ring net corresponding to the N sub-channels are stacked together in a manner of time slot alignment to form a cylindrical web. A web is reused U times to cover the full spectrum bandwidth W and 24 hours a day, forming a time-frequency division multiple access self-organizing network.