Dynamic Sidelobe Multiplexing for Beamspace MIMO Capacity
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Solution Overview
Problem
Conventional beamspace MIMO systems are limited in the number of users or data streams they can support due to the number of RF chains, leading to excessive hardware complexity and energy consumption, and existing solutions like NOMA and user clustering do not fully optimize energy and spectrum efficiency.
Innovation Solution
The Dynamic Sidelobes Multiplexing (DSM) method introduces additional receiver beams to receive additional data streams by utilizing both main lobe and sidelobe power, dynamically selecting transmitter and receiver beams to maximize capacity and signal-to-interference plus noise ratio (SINR), allowing for more data streams to be multiplexed and reconstructed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional multiplexing in beamspace MIMO is used, then the system can support a limited number of users/streams equal to the number of RF chains, but the hardware complexity and energy consumption become excessive with large number of antenna elements
Solution Approach 1:
The patent segments the received signal into main lobe components and sidelobe components. By separating these components and processing them differently, the system can support more users than RF chains. The sidelobe multiplexing technique divides the signal space into orthogonal main lobe directions and non-orthogonal sidelobe directions, allowing independent processing paths that reduce hardware complexity while increasing user capacity.
Solution Approach 2:
The patent introduces a new dimension for signal processing by utilizing sidelobe directions in addition to main lobe directions. This dimensional expansion allows the system to multiplex additional data streams beyond the number of RF chains by exploiting the spatial diversity in sidelobe regions, effectively increasing the degrees of freedom available for user multiplexing.
2Productivity
If the number of RF chains is increased to support more data streams, then more users/streams can be supported, but the energy consumption and hardware cost increase significantly
Solution Approach 1:
The patent makes the existing RF chains perform multiple functions by utilizing both main lobe and sidelobe components for data stream reception. Instead of requiring separate RF chains for each data stream, the system enables each RF chain to process multiple spatial components (main lobe and multiple sidelobes), thereby supporting more data streams without proportionally increasing energy consumption or hardware count.
Solution Approach 2:
The patent changes the processing parameters by applying different decoding strategies to main lobe and sidelobe components. Main lobe components use conventional decoding while sidelobe components utilize interference cancellation and successive interference rejection techniques. This parameter change allows efficient utilization of existing RF chains to support enhanced data stream capacity without linear energy scaling.
3Productivity
If NOMA and user clustering are used to increase user capacity, then more users can be supported, but spectral efficiency and energy efficiency are not fully optimized
Solution Approach 1:
The patent creates a virtual expansion of the channel capacity by copying and processing sidelobe components separately from main lobe components. This copying approach allows the system to generate additional independent data streams from the same physical channel, effectively increasing user capacity while maintaining spectral efficiency through orthogonal sidelobe multiplexing that avoids interference with main lobe transmissions.
Data Source
AI summary
A system and method utilizing a novel dynamic sidelobe multiplexing (DSM) is proposed for the applications in beamspace multiple-input multiple-output (MIMO) systems. The DSM technique pre-codes the transmitted data over transmitter beams in order to open up a new path to the receiver.