Hierarchical MAC Protocol for Ku-band Mesh Networks
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Solution Overview
Problem
Existing multi-beam MAC protocols for airborne networks are inadequate in supporting quality of service (QoS) and efficient communication in Ku-band wireless mesh networks, particularly due to limitations in collision domain management, time synchronization, and adaptive parameter control, which affects throughput and reliability in mission-oriented applications.
Innovation Solution
A hierarchical medium access control (MAC) protocol is developed, featuring a two-level architecture that includes a CSMA-based scheme for concurrent multi-beam transmission/reception and an overlay control mechanism for coordinated transmissions, utilizing weighted scheduling and rate control in each beam to prioritize traffic and adapt to changing conditions, along with predictive beam communication patterns based on Hidden Markov Models and Hierarchical Dirichlet Process Hidden Markov Models for node state prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-beam antennas are used for concurrent transmission/reception in airborne networks, then spectrum efficiency and throughput are improved, but collision domain management and interference control become more complex
Solution Approach 1:
The patent segments the collision domain into multiple beam-specific collision domains, allowing independent management of each beam's transmission and reception operations. This enables concurrent transmissions in different beams while maintaining controlled collision domains through beam-specific carrier sensing and MAC layer protocols.
Solution Approach 2:
The patent introduces spatial dimensionality through multi-beam architecture, transforming the single collision domain into multiple spatially-separated collision domains. Each beam operates as an independent spatial channel, enabling concurrent transmissions in different spatial directions while maintaining manageable collision domains through beam-specific control mechanisms.
2Reliability
If multi-beam smart antennas with MIMO capability are deployed, then communication reliability and data rate are enhanced, but node synchronization and time coordination become more difficult
Solution Approach 1:
The patent implements feedback mechanisms where nodes report their beam status, synchronization state, and channel conditions to neighboring nodes. This enables dynamic adjustment of transmission parameters and synchronization timing based on real-time network conditions, maintaining reliable communication while adapting to synchronization challenges in multi-beam environments.
Solution Approach 2:
The patent employs periodic synchronization protocols where nodes exchange timing information and beam status at regular intervals. This periodic coordination maintains synchronization across multi-beam networks while allowing concurrent operations within each periodic cycle, balancing reliability requirements with operational flexibility.
3Adaptability or versatility
If hierarchical MAC protocol with overlay control is implemented, then QoS and traffic prioritization are improved, but protocol overhead and processing complexity increase
Solution Approach 1:
The patent segments the MAC protocol into hierarchical layers: a base layer handling fundamental CSMA-based access control and an overlay layer providing QoS-specific control mechanisms. This segmentation allows QoS functionality to be added modularly without fundamentally redesigning the entire MAC protocol, reducing overhead compared to monolithic approaches.
Solution Approach 2:
The patent designs the overlay control mechanism to provide multiple QoS functions (traffic prioritization, beam selection, interference management) through a unified protocol framework. This multi-functionality reduces overall protocol overhead by consolidating diverse QoS requirements into a single adaptable layer rather than requiring separate protocols for each function.
4Adaptability or versatility
If state prediction using Hidden Markov Models is applied, then adaptive beam communication patterns and node behavior prediction are achieved, but computational complexity and energy consumption increase
Solution Approach 1:
The patent applies state prediction using Hidden Markov Models selectively to specific nodes and beams based on their importance to network performance and mission requirements. Rather than implementing full state prediction across all nodes uniformly, the system focuses computational resources on critical paths and high-priority communications, reducing overall energy consumption while maintaining adaptive capabilities where most beneficial.
Data Source
AI summary
A MAC design for Ku-band mobile wireless mesh network with multi-beam smart antennas is disclosed. This MAC includes an overlay control that separates the collision domain. It also has lower layer CSMA-like scheme. The disclosed design includes an enhanced PCF and an enhanced DCF for two purposes: (1) exploiting multi-beam concurrent communication capability (2) supporting QoS and mission-based communications. An efficient time synchronization scheme is also disclosed to ensure all beams can concurrently send data to the star node. Finally, ARMA or HMM based prediction schemes are disclosed to predict future traffic profile in each beam. This helps the star node to better prepare the queue content and schedule information.