Prototype Filter Feedback for Wireless Multicarrier Signal Interference
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Solution Overview
Problem
Existing mobile communication systems face performance degradation due to channel condition changes and require efficient methods to minimize channel information exchange between base stations and terminals, while also addressing spectrum interference in multiuser access environments.
Innovation Solution
A feedback method and apparatus that utilize prototype filters, where terminals and base stations exchange channel information to determine and apply optimized filters for data transmission, minimizing spectrum interference and maximizing Signal-to-Interference-Plus-Noise-Ratio (SINR) by selecting dedicated or common prototype filters based on channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If channel information exchange between base station and terminal is minimized, then system complexity is reduced, but communication performance deteriorates due to inability to adapt to channel condition changes
Solution Approach 1:
The channel information feedback is segmented into two parts: coarse-grained channel quality indicator (CQI) feedback for adaptive modulation and coding, and fine-grained channel state information (CSI) feedback for precise beamforming and MIMO operations. This segmentation allows the system to maintain performance while reducing overall feedback overhead by only exchanging detailed information when necessary.
Solution Approach 2:
The feedback mechanism dynamically adjusts the amount and granularity of channel information exchanged based on channel condition variability and service requirements. When channel conditions are stable, minimal feedback is exchanged; when conditions change rapidly or high performance is required, more detailed channel information is fed back, making the system adaptive to varying conditions.
2Object-affected harmful factors
If prototype filter information exchange is increased to improve communication efficiency, then spectrum interference is reduced, but system overhead increases
Solution Approach 1:
Instead of exchanging complete prototype filter information, the system exchanges only partial information - specifically, indices or identifiers that point to pre-configured prototype filters at both transmitter and receiver. This partial information exchange is sufficient to enable the receiver to reconstruct the appropriate filter for interference mitigation without the overhead of transmitting full filter parameters.
Solution Approach 2:
The base station and terminal maintain identical copies of a library of prototype filters locally. Rather than exchanging the actual filter data, they only need to exchange references or indices to these pre-shared copies. This copying approach eliminates redundant information transmission while ensuring both parties use the same filter characteristics for coherent interference cancellation.
3Productivity
If filter bank-based multicarrier signaling is used to reduce spectrum interference, then spectral efficiency is improved, but implementation complexity increases
Solution Approach 1:
Prototype filters are pre-computed and pre-configured in both the base station and terminal devices during manufacturing or initial system setup. This preliminary action prepares the filter bank structures in advance, so that during actual communication operations, the system only needs to select and apply pre-existing filters rather than performing complex real-time filter design and computation, significantly reducing operational complexity.
Solution Approach 2:
The system manages filter bank complexity by parameterizing the prototype filters with a small set of key parameters (such as filter length, roll-off factor, and prototype type identifiers). By changing and adjusting these parameters rather than redesigning entire filter structures, the system can adapt to different spectral efficiency requirements while maintaining manageable implementation complexity through parameter control rather than structural complexity.
Data Source
AI summary
This disclosure relates to a 5G or pre-5G communication system to be provided for supporting higher data transfer rate following a 4G communication system such as LTE. To accomplish the objective mentioned above, a method for transmitting and receiving a signal at a terminal in the mobile communication system according to one embodiment of the present application comprises the steps of: receiving, from a base station, a reference signal generated on the basis of a first filter; determining channel information on the basis of the received reference signal; transmitting the determined channel information to the base station; receiving, from the base station, information related to a second filter determined on the basis of the channel information; and receiving, from the base station, a data signal on the basis of the second filter. According to an embodiment of the present application, it is possible to maximize the signal-to-interference-plus-noise ratio (SINR) while minimizing spectral interference in the event of multiuser connection, by using a prototype filter application method and system structure.