Dynamic Resource Block Type Selection for Wireless Spectrum Efficiency
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Solution Overview
Problem
Current wireless communication systems face challenges in improving spectrum confinement characteristics while reducing self-interference, leading to trade-offs that affect frequency efficiency, particularly in multi-carrier systems like FBMC, where achieving zero self-interference results in poor spectrum confinement and vice versa.
Innovation Solution
The method involves determining and configuring Resource Block (RB) types based on user equipment (UE) characteristics, using filters with specific self-interference and spectrum confinement characteristics, and adjusting nulling numbers to optimize signal transmission efficiency by dynamically allocating RB types and filter configurations in both base stations and user equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If filters with high spectrum confinement characteristic are used, then spectrum confinement is improved, but self-interference increases
Solution Approach 1:
The system dynamically selects and switches between multiple filter types (e.g., D4, D5, D6 filters) based on real-time communication conditions, UE characteristics, and channel states. This dynamic adaptation allows the system to optimize the balance between spectrum confinement and self-interference by choosing the most appropriate filter type for each specific scenario, rather than using a fixed filter design.
Solution Approach 2:
The invention changes key parameters of the filter bank multi-carrier system including filter type selection, filter order, and nulling configuration. By adjusting these parameters based on UE capabilities and channel conditions, the system can achieve different trade-offs between spectrum confinement and self-interference, enabling flexible optimization for various operational requirements.
2Object-generated harmful factors
If filters with low self-interference are used, then self-interference is reduced, but spectrum confinement deteriorates
Solution Approach 1:
The system applies different filter types to different resource blocks and user equipments based on their specific requirements. For example, UEs with high mobility or specific channel conditions may receive filters optimized for low self-interference, while others may receive filters with better spectrum confinement. This localized optimization resolves the contradiction by allowing each transmission to use the most appropriate filter characteristics.
Solution Approach 2:
The filter selection is dynamically adjusted based on channel conditions, UE characteristics, and interference levels. The system can switch between filter types (D4, D5, D6) with different self-interference and spectrum confinement characteristics to match current operational requirements, thereby resolving the static trade-off between these two parameters.
3Manufacturing precision
If guard band is increased to improve spectrum confinement, then frequency efficiency decreases
Solution Approach 1:
The invention extracts and removes the need for large guard bands by using advanced filter bank techniques (D4, D5, D6 filters) that provide sufficient spectrum confinement without requiring additional spectral separation. The filter designs inherently suppress spectral leakage, allowing the system to eliminate or minimize guard bands while maintaining spectrum confinement, thereby improving frequency efficiency.
Solution Approach 2:
The system changes the approach to spectrum confinement by transitioning from guard band-based separation to filter-based spectral shaping. By adjusting filter parameters (type, order, nulling configuration), the system achieves spectrum confinement through signal processing rather than frequency separation, thereby eliminating the trade-off with frequency efficiency.
4Device complexity
If RB type configuration is simplified, then device complexity is reduced, but adaptability to different UEs deteriorates
Solution Approach 1:
The system implements dynamic RB type configuration where the base station determines and signals the appropriate RB type for each UE based on UE characteristics, channel conditions, and interference levels. This dynamic approach allows the system to adapt to different UEs without requiring complex UE-side configuration decisions, as the base station centrally manages the configuration based on overall system knowledge.
Solution Approach 2:
The system uses feedback mechanisms where UEs report their characteristics and channel conditions to the base station, which then determines the appropriate RB type configuration. This feedback loop enables the base station to make informed configuration decisions that adapt to individual UE requirements while maintaining centralized control and avoiding complex UE-side configuration logic.
Data Source
AI summary
A method for operating a resource in a base station (BS) in a wireless communication system supporting multi-carrier is disclosed. The method includes acquiring reference information related to at least one resource block (RB) to be allocated to a user equipment (UE), determining a RB type to be used in the at least one RB based on the reference information, and transmitting, to the UE, information related to the RB type to be used in the at least one RB. The present disclosure relates to a communication method and system for converging a 5th-generation (5G) communication system for supporting higher data rates beyond a 4th-generation (4G) system with a technology for internet of things (IoT), which may be applied to intelligent services based on the 5G communication technology and the IoT-related technology.