Mobile Device Repositioning for Full-Duplex Interference Mitigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In-band full-duplex (IBFD) technology faces challenges with self-interference (SI) and cross-channel interference (CCI) in mobile devices, particularly in UAVs, which increases size, cost, and power consumption, limiting its applicability.
Innovation Solution
An apparatus and method that estimate future communications states of mobile devices to determine optimal positions, minimizing CCI by repositioning devices based on estimated path loss and throughput, using a probabilistic approach to maximize average throughput and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If in-band full-duplex (IBFD) technology is implemented in mobile devices to double throughput, then data transmission efficiency is improved, but self-interference increases and device size, cost, and power consumption increase
Solution Approach 1:
The patent extracts the full-duplex capability from the mobile device and relocates it to the base station. The base station implements IBFD operation while mobile devices operate in half-duplex mode, thereby achieving full-duplex throughput benefits without requiring complex full-duplex hardware in mobile devices. This resolves the contradiction by separating the full-duplex function from the mobile device.
Solution Approach 2:
The base station acts as an intermediary that enables full-duplex communication between mobile devices. By implementing IBFD at the base station with advanced self-interference cancellation capabilities, the system achieves doubled throughput for device-to-device communication without requiring mobile devices to have complex full-duplex hardware, thus resolving the size and complexity issue.
2Productivity
If in-band full-duplex (IBFD) technology is implemented to allow simultaneous transmit and receive, then overall throughput is doubled, but self-interference from stronger transmit signal interfering with weaker received signal increases
Solution Approach 1:
The patent replaces physical isolation methods (mechanical/structural solutions) with digital signal processing-based self-interference cancellation. The base station uses advanced DSP algorithms to subtract the self-interference component from the received signal, enabling simultaneous transmit and receive operations with minimal interference. This substitution allows IBFD operation to achieve doubled throughput while effectively managing self-interference.
Solution Approach 2:
The patent changes the operational parameters of the base station to enable IBFD mode, adjusting transmit power levels, frequency allocation, and time-slot coordination to optimize the balance between transmit and receive operations. By dynamically adjusting these parameters, the system achieves simultaneous full-duplex communication with minimized self-interference impact.
3Object-generated harmful factors
If passive isolation, beamforming, and digital signal processing methods are used to suppress self-interference, then self-interference power is reduced to noise floor, but applicability for mobile devices is limited due to increased size, cost, and power consumption
Solution Approach 1:
The patent extracts the complex self-interference suppression functionality from mobile devices and concentrates it at the base station. The base station implements passive isolation, beamforming, and digital signal processing-based self-interference cancellation, while mobile devices use simpler half-duplex operation. This extraction resolves the contradiction by achieving low self-interference power without requiring complex suppression mechanisms in mobile devices.
4Productivity
If mobile devices are repositioned to optimize throughput and reduce interference, then network performance is improved, but device mobility and operational flexibility are constrained
Solution Approach 1:
The patent performs preliminary positioning optimization by calculating optimal mobile device positions in advance based on predicted traffic patterns and channel conditions. The base station determines target positions for mobile devices before communication occurs, allowing devices to be positioned optimally without real-time constraints on their movement. This preliminary action resolves the contradiction by achieving performance optimization without constraining operational flexibility.
Data Source
AI summary
An apparatus and method is disclosed, in which the apparatus comprising circuitry configured for: estimating or determining a future communications state for each of a plurality a mobile devices K associated with a base station, the future communications state being indicative of the mobile device communicating in an uplink to a base station or in a downlink from the base station at a future time slot t or being idle and also determining a target position of at least one of the mobile devices, based at least partly on its estimated communication state, for enabling re-positioning of said at least one mobile device to the determined target position substantially at said future time slot t.