Mobile Relay Assignment for Blockage-Resilient Millimeter-Wave Networks
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Solution Overview
Problem
The assignment of mobile relays in millimeter wave networks is complex and requires careful consideration to ensure optimal performance due to factors like blockage and propagation losses, which affect data rates and network performance.
Innovation Solution
A system and method for assigning mobile relays to source-destination pairs and intermediate stops in each time slot, utilizing channel measurement and relay assignment to optimize data transmission through channel gains and cooperative relaying schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile relays are deployed to overcome blockage and propagation losses, then network performance and data rates are improved, but system complexity increases
Solution Approach 1:
Mobile relays are introduced as intermediary nodes between source-destination pairs to overcome blockage and propagation losses in mmWave communication. The relays act as mediators that receive signals from sources and forward them to destinations, improving network performance and reliability while managing the complexity through structured assignment mechanisms.
Solution Approach 2:
The system employs dynamic relay assignment where mobile relays are strategically allocated to different source-destination pairs based on channel conditions, blockage scenarios, and network requirements. The assignment is optimized for each time slot, allowing the system to adapt to changing conditions and maintain performance while controlling complexity through systematic management.
2Productivity
If multiple mobile relays are assigned to source-destination pairs, then data rates are improved, but energy consumption increases
Solution Approach 1:
The system optimizes the number of relays assigned to each source-destination pair by changing the parameter of relay count based on channel conditions, blockage scenarios, and energy constraints. By dynamically adjusting this parameter, the system achieves high data rates when necessary while minimizing energy consumption during normal operating conditions.
Solution Approach 2:
Instead of deploying all available mobile relays continuously, the system applies partial action by assigning only the necessary number of relays to each source-destination pair based on current network needs. This approach achieves required data rates while avoiding excessive energy consumption that would result from deploying all relays regardless of actual requirements.
3Reliability
If mobile relays are strategically positioned at intermediate stops, then network performance is optimized, but device management complexity increases
Solution Approach 1:
The system segments the relay management task by dividing the network into multiple time slots and assigning specific mobile relays to specific source-destination pairs within each time slot. This segmentation simplifies management by creating manageable assignments rather than handling all relays simultaneously, while still achieving optimized network performance through strategic positioning at intermediate stops.
Solution Approach 2:
The controller automatically performs relay assignment and management tasks based on channel measurements and network conditions, reducing the need for manual intervention. The system self-manages the complex task of positioning mobile relays at intermediate stops by using automated algorithms that consider blockage scenarios, propagation losses, and energy constraints.
Data Source
AI summary
Embodiments herein disclose a system and a method for assigning one or more mobile relays to each source-destination pair and one or more intermediate stops in each time slot, thereby achieving high data rates between the sources and their corresponding destinations. Embodiments herein disclose a system and a method for calculating channel gains from each source to its corresponding destination, wherein a reference signal at fixed power is received from each source.