Non-Orthogonal Signal Dimensionality for MIMO Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems face challenges in managing interfering signals, as traditional methods focus on orthogonal scheduling and power control, which are insufficient for achieving optimal spectral efficiency and decoding accuracy, especially in multi-user and MIMO environments.
Innovation Solution
The method involves creating non-orthogonal dimensionality between signals by adjusting parameters such as power and phase of received signals, allowing receivers to differentiate and decode interfering signals more effectively, using techniques like MUD and MIMO to enhance decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If orthogonal scheduling and power control techniques are used to manage interfering signals, then interference between users is reduced, but spectral efficiency and decoding accuracy are limited
Solution Approach 1:
The patent changes the fundamental parameter of signal separation from orthogonal (90-degree phase difference) to non-orthogonal relationships. By adjusting phase offsets and power levels of interfering signals to create specific non-orthogonal dimensional separations, the system enables Multi-User Detection to simultaneously decode multiple users more accurately, thereby improving both spectral efficiency and decoding accuracy without traditional orthogonal constraints
Solution Approach 2:
The patent introduces non-orthogonal dimensionality as a new degree of freedom for signal separation. Instead of relying solely on traditional orthogonal dimensions (time, frequency, code), the system creates additional separable dimensions through controlled non-orthogonal phase and power relationships, allowing MUD receivers to exploit these new dimensional differences to improve decoding performance and spectral efficiency
2Reliability
If traditional power control techniques are used to coordinate transmitters, then near-far problems are reduced, but the ability to handle interference and improve spectral efficiency is limited
Solution Approach 1:
The patent extends traditional power control by coordinating not only power levels but also phase offsets of interfering signals. The network controller adjusts both parameters to create optimal non-orthogonal relationships between users, enabling the receiver to better separate and decode signals from users with different path losses, thereby solving near-far problems while simultaneously improving spectral efficiency through enhanced interference management
3Object-affected harmful factors
If orthogonal scheduling is used to avoid interference, then interference between users is minimized, but the complexity of resource allocation and scheduling increases
Solution Approach 1:
The patent replaces orthogonal scheduling with non-orthogonal parameter coordination. Instead of allocating orthogonal resources (different time slots, frequencies, or codes), the system coordinates power and phase parameters of simultaneous transmissions. This approach maintains low interference through controlled non-orthogonal relationships while significantly reducing scheduling complexity, as users can transmit simultaneously without complex resource allocation constraints
Data Source
AI summary
Systems and methods for creating non-orthogonal dimensionality between signals are disclosed. Signals are received from at least one electronic device. An adjustment of a parameter of a received signal of a first device of the at least one of the electronic device that would result in an adjusted signal that is not orthogonal but differentiates the signal from at least one other signal of the received signals is determined. An instruction is communicated to the first device to implement the adjustment of the parameter.