Hybrid Virtual MIMO Transmission for Wireless Ad-hoc Networks
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Solution Overview
Problem
Existing MIMO routing technologies face challenges in energy efficiency and transmission delay in wireless ad-hoc networks, particularly due to complex circuit structures and the need for multiple antennas, which hinder their implementation and efficiency, especially in short data transmission distances.
Innovation Solution
A hybrid virtual MIMO transmission method that divides the transmission path into sections, optimally adjusts data transmission distances, and dynamically selects transmission schemes based on energy efficiency and quality of service requirements, using a management node to determine the shortest path and coordinate transmission schemes among nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MIMO routing is implemented with complex circuit structure and multiple antennas, then bandwidth efficiency is improved, but energy consumption increases and device complexity increases
Solution Approach 1:
The patent uses virtual antenna arrays instead of physical antennas. Each sensor node creates virtual antenna elements through signal processing, copying the MIMO functionality without requiring actual multiple antennas. This reduces hardware complexity and energy consumption while maintaining bandwidth efficiency.
Solution Approach 2:
The patent replaces the mechanical/physical MIMO system (multiple actual antennas and complex circuit structures) with a signal-processing-based virtual MIMO system. The spatial multiplexing gain is achieved through mathematical transformations of signals from single or few physical antennas, substituting hardware complexity with computational processing.
2Productivity
If MIMO routing is implemented with complex circuit structure, then bandwidth efficiency is improved, but device complexity increases
Solution Approach 1:
The patent uses virtual antenna arrays instead of physical antennas. Each sensor node creates virtual antenna elements through signal processing, copying the MIMO functionality without requiring actual multiple antennas. This reduces hardware complexity and energy consumption while maintaining bandwidth efficiency.
Solution Approach 2:
The patent replaces the mechanical/physical MIMO system (multiple actual antennas and complex circuit structures) with a signal-processing-based virtual MIMO system. The spatial multiplexing gain is achieved through mathematical transformations of signals from single or few physical antennas, substituting hardware complexity with computational processing.
3Ease of manufacture
If V-MIMO transmission is used to reduce antenna requirements, then ease of manufacture is improved, but energy consumption increases and transmission delay increases
Solution Approach 1:
The patent dynamically adjusts the transmission scheme based on distance. For short distances, it uses non-V-MIMO modes (SISO or simple MIMO) to avoid the overhead energy consumption of virtual antenna coordination. For long distances, it switches to V-MIMO to leverage spatial diversity and improve reliability. This dynamic adaptation optimizes energy efficiency across different operating conditions.
Solution Approach 2:
The patent changes the transmission parameter (V-MIMO activation) based on the transmission distance parameter. By monitoring distance and adjusting the transmission mode accordingly, the system optimizes energy consumption - using V-MIMO only when its benefits outweigh its energy costs, which occurs primarily in long-distance transmissions.
4Ease of manufacture
If V-MIMO transmission is used to reduce antenna requirements, then ease of manufacture is improved, but transmission delay increases
Solution Approach 1:
The patent dynamically adjusts the transmission scheme based on distance. For short distances, it uses non-V-MIMO modes (SISO or simple MIMO) to avoid the overhead energy consumption of virtual antenna coordination. For long distances, it switches to V-MIMO to leverage spatial diversity and improve reliability. This dynamic adaptation optimizes energy efficiency across different operating conditions.
Solution Approach 2:
The patent changes the transmission parameter (V-MIMO activation) based on the transmission distance parameter. By monitoring distance and adjusting the transmission mode accordingly, the system optimizes energy consumption - using V-MIMO only when its benefits outweigh its energy costs, which occurs primarily in long-distance transmissions.
Data Source
AI summary
A hybrid virtual multiple-input multiple-output (V-MIMO) transmission method of a management node in a wireless ad-hoc network in which a transmission path from a source node to a destination node is divided into one or more sections is provided. The hybrid V-MIMO transmission method includes obtaining one or more pieces of node information of one or more nodes by transmitting an information request message to the nodes in response to a transmission request message for data transmission from the source node to the destination node; setting a shortest path (SP) from the source node to the destination node based on the obtained node information; determining transmission schemes individually for nodes present on the SP; issuing a transmission preparation request by transmitting the determined transmission schemes to the respective corresponding nodes; and transmitting a transmission start message to the source node in response to transmission ready responses from the respective nodes.