Dynamic PN Sequence Generation for 5G Remote Interference Management
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Solution Overview
Problem
In 5G wireless communication systems, remote interference management is challenged by atmospheric ducting, which causes downlink signals to interfere with uplink signals, leading to deteriorated network coverage and connection rates due to the inability to efficiently generate a common pool of PN sequences for remote interference management reference signals.
Innovation Solution
The method involves determining base initial seeds and a time parameter to generate actual initial seeds, which are then used to create a Pseudo-Noise (PN) sequence and a remote interference management reference signal (RIM-RS) sequence. This sequence is transmitted to a remote base station, allowing for dynamic management of interference by randomizing the sequence pool over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a common pool of PN sequences is used for remote interference management reference signals, then interference management capability is improved, but the system becomes vulnerable to stuck states in the sequence pool
Solution Approach 1:
The patent applies dynamics by transitioning from a static common pool of PN sequences to a dynamic generation mechanism. Base initial seeds are determined and stored, then actual initial seeds are generated dynamically by combining these base seeds with time parameters. This allows the sequence pool to adapt over time, preventing stuck states while maintaining interference management capability through the structured generation process.
Solution Approach 2:
The patent changes parameters by introducing time-dependent variation into the PN sequence generation. The actual initial seed is formed by combining the base initial seed with a time parameter, causing the sequence characteristics to evolve over time. This parameter change ensures the sequence pool remains versatile and adaptable while preserving the reliability benefits of a coordinated common pool structure.
2Adaptability or versatility
If base initial seeds are determined and time parameters are used to generate actual initial seeds, then sequence pool adaptability is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the seed generation process into distinct components: base initial seeds that are determined and stored separately, and time parameters that are generated independently. These segments are then combined through a defined process to produce actual initial seeds. This segmentation simplifies the overall complexity by making each component manageable and independently controllable.
Solution Approach 2:
The patent applies preliminary action by determining and storing base initial seeds in advance, before they are needed for actual sequence generation. This preliminary preparation reduces real-time computational complexity, as the base seeds are already available and only require combination with time parameters during operation, rather than generating complete sequences from scratch each time.
3Measurement precision
If PN sequences are generated for remote interference management, then interference identification capability is improved, but network overhead increases
Solution Approach 1:
The patent changes parameters by using a compact representation method where PN sequences are defined by initial seeds rather than explicit sequence data. By transmitting and storing only the seed values (base initial seeds and time parameters) rather than complete sequences, the system achieves precise interference identification capability while minimizing network overhead. The actual sequences are regenerated locally from these compact parameter representations.
Data Source
AI summary
An approach is described for a method for a base station in a fifth generation (5G) wireless c01mnunication or a new radio (NR) system that includes the following steps. The method includes determining base initial seeds and a time parameter. The method further includes generating actual initial seeds based on the base initial seeds and the time parameter; generating a Pseudo-Noise (PN) sequence based on one of the actual initial seeds; and generating a remote interference management reference signal (RIM-RS) sequence based on the PN sequence. The method further includes transmitting the RIM-RS sequence to a remote base station.