Network Coded Wireless Relay for Power Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cooperative communication and storage techniques fail to optimize power efficiency, spectral efficiency, and scalability, and restrict device diversity due to lack of precautions against wireless channel distortions and cross-layer optimizations, limiting system flexibility and efficiency.
Innovation Solution
A cooperative, network-coded, distributed wireless communication method that uses relay units and multiple communication interfaces to reduce transmission errors and enhance data storage by employing cooperative communication protocols and network coding techniques, dividing data into packets, and transmitting them through broadcast and relaying phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cooperative communication techniques are used without precautions against wireless channel distortions, then device diversity can be increased, but power efficiency and spectral efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by performing channel estimation and selecting optimal relay units before data transmission occurs. The source unit estimates channel conditions and pre-selects relay units that will provide the best transmission path, avoiding energy waste from transmitting through poor channels. This pre-planning enables device diversity to be utilized effectively while maintaining power efficiency by only activating the most suitable relay units.
Solution Approach 2:
The patent changes transmission parameters dynamically based on channel conditions. The source unit adjusts transmission power, modulation schemes, and relay selection according to real-time channel quality measurements. This parameter adaptation allows the system to maintain high power efficiency by using lower power when channel conditions are good, while still achieving high device diversity by selecting from multiple available relay units when conditions vary.
2Device complexity
If standard transmission protocols are used in cooperative communication, then system simplicity is maintained, but scalability to multiple sources deteriorates
Solution Approach 1:
The patent implements universality by designing a protocol that serves multiple functions within a unified framework. The same protocol structure handles both single-source and multi-source scenarios, as well as different relay selection strategies. This universal protocol maintains system simplicity while enabling scalability, as the protocol automatically adapts to the number of sources and relays without requiring separate complex protocols for each scenario.
Solution Approach 2:
The patent applies dynamics by making the protocol behavior adaptive rather than static. The protocol dynamically adjusts relay selection, transmission parameters, and coordination mechanisms based on the actual number of active sources and channel conditions. This dynamic approach allows the system to scale from one to multiple sources seamlessly while maintaining protocol simplicity, as the protocol structure remains the same but its behavior adapts to the current system state.
3Device complexity
If cross-layer optimizations are not implemented, then system complexity is reduced, but transmission efficiency and flexibility deteriorate
Solution Approach 1:
The patent merges multiple layers of the communication protocol stack into a unified cooperative communication framework. Physical layer channel information, MAC layer relay selection, and network layer routing decisions are combined and optimized together. This cross-layer merging improves transmission efficiency by making joint optimizations that single-layer approaches cannot achieve, while managing complexity through integrated design rather than separate complex interactions between layers.
Solution Approach 2:
The patent implements cross-layer parameter changes where transmission parameters at different layers are adjusted jointly. For example, physical layer channel state information directly influences MAC layer relay selection and modulation scheme choice. This coordinated parameter adjustment across layers maximizes transmission efficiency and flexibility, as decisions at one layer are optimized based on conditions and decisions at other layers, rather than in isolation.
Data Source
AI summary
A wireless communication and data storage method enables data present at the source unit to be stored at storage units by a relay unit, comprising distributing data packets to a wireless communication interface inside a source unit via a load balancing data packer according to previously defined success criteria, transmitting data packets wirelessly to a relay unit and storage unit if it is decided to realize network coding at the relay unit, coding and repacking data that is unpacked at the network coding unit if it is decided not to realize network coding, transmitting it to the load balancing data packer using relaying techniques, dividing data that is network coded or transmitted using the relaying techniques into data packets, transmitting the data packets wirelessly to the storage unit, decoding, merging data packets at the network decoding unit in the storage unit, and storing them at the data storage unit.