Parallel TDM Communication System for High-Speed Data Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional OFDM systems with single or partial parallel structures face limitations in operation speed and efficiency due to fixed transmission speeds and hardware constraints, particularly in high-speed data transmission, leading to reduced performance and increased power consumption.
Innovation Solution
A time division multiplexing communication system with a parallel structure that adjusts the number of parallel streams based on channel-related information, such as channel state, frequency bandwidth, and SNR, to optimize operation speed and reduce power consumption, while also avoiding deep fading bands and improving Bit Error Rate (BER) performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a conventional OFDM system uses a single flow type structure to adjust transmission speed by changing FFT magnitude, then transmission speed can be adjusted, but operation speed of hardware is reduced in high speed systems
Solution Approach 1:
The system segments the transmission into multiple parallel flows (first through fourth parallel flows) instead of using a single flow. Each parallel flow can be processed independently by dedicated hardware, enabling simultaneous processing of multiple data streams and thereby maintaining high operation speed while achieving high transmission speed through parallelization.
Solution Approach 2:
The system dynamically adjusts the number of parallel flows based on channel conditions (channel state information, SNR, fading characteristics). The transmitter and receiver can switch between different numbers of parallel flows (e.g., 1 to 4 flows) to optimize performance, making the system adaptable to varying transmission requirements and channel states.
2Productivity
If a conventional OFDM system uses a parallel flow type structure to parallelize encoded and decoded parts, then processing capacity increases, but operation speed of all hardware is reduced in high speed systems
Solution Approach 1:
The system divides the data into multiple parallel flows that are processed simultaneously through dedicated hardware paths. Each parallel flow has its own processing chain, allowing true parallel processing without creating bottlenecks. This segmentation enables both high processing capacity and high operation speed by avoiding sequential processing dependencies.
Solution Approach 2:
The system combines multiple parallel processing flows into a unified transmission framework where results from parallel encoders and decoders are merged. This allows the system to maintain high processing capacity through parallel operations while achieving high operation speed by merging results efficiently at the boundaries of the parallel stages.
3Productivity
If the number of parallel streams is increased to increase data processing capacity, then amount of data processed simultaneously increases, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the number of parallel streams based on channel conditions and data requirements. When channel conditions are good and high data rates are needed, more parallel streams are activated. When channel conditions are poor or data rates are low, fewer parallel streams are used, thereby reducing power consumption while maintaining adequate processing capacity.
Solution Approach 2:
The system changes the parameter of parallel stream count (from 1 to 4 flows) based on channel state information, SNR, and data requirements. This parameter adjustment allows the system to optimize the trade-off between processing capacity and power consumption by selecting the appropriate number of active parallel streams for each transmission condition.
4Device complexity
If fixed multiplexing ratio is used in time division multiplexing, then system structure is simplified, but communication efficiency is reduced when channel conditions change
Solution Approach 1:
The system uses dynamic multiplexing ratios in the time division multiplexing stage, adjusting the ratio based on channel conditions, SNR, and data rates. This allows the system to optimize communication efficiency for varying channel states while maintaining a relatively simple overall structure by using standard TDM techniques with variable parameters.
Solution Approach 2:
The multiplexing ratio parameter in the time division multiplexing stage is adjusted based on channel conditions and transmission requirements. This parameter change enables the system to adapt to varying channel states and optimize communication efficiency without fundamentally changing the system structure, merely by modifying operational parameters.
Data Source
AI summary
Disclosed are a Time Division Multiplexing (TDM) communication system with a parallel structure and a method for the same. A transmission apparatus of the TDM communication system with the parallel structure includes a Time Division Demultiplexer (TDDM) to perform time division demultiplexing of inputted first serial signals to thereby output the demultiplexed serial signals as a plurality of parallel signals, a plurality of modulators to respectively modulate the outputted parallel signals; a Time Division Multiplexer (TDM) to adjust a multiplexing ratio according to channel-related information, and to perform time division multiplexing of each of the modulated parallel signals in the adjusted multiplexing ratio to thereby output the multiplexed parallel signals as second serial signals, and a transmission antenna to transmit the outputted second serial signals.