Dynamic Spectrum Sharing via Online Learning and Low-Overhead Cooperation
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Solution Overview
Problem
Current dynamic spectrum sharing methods face challenges in achieving efficient spectrum sharing due to difficulties in obtaining accurate channel availability and collaboration among secondary users in high-density wireless communication networks, leading to spectrum underutilization and conflicts.
Innovation Solution
A dynamic spectrum sharing method based on user online learning and low-overhead cooperation, where secondary users obtain scenario information, initialize state and spectrum sensing parameters, determine channel priorities, perform spectrum sensing, and adjust strategies to select idle channels while minimizing overhead and conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If secondary users perform spectrum sensing on all candidate channels to ensure accurate channel availability, then channel selection accuracy is improved, but time consumption and sensing overhead increase
Solution Approach 1:
The patent segments the channel sensing process by dividing candidate channels into different priority groups. High-priority channels require full sensing while low-priority channels use simplified sensing or are skipped entirely. This segmentation allows the system to maintain accurate sensing for critical channels while reducing overall sensing time and overhead.
Solution Approach 2:
The patent applies partial sensing action by performing complete sensing only on a subset of high-priority candidate channels while using partial or no sensing on lower-priority channels. The SU calculates channel priority based on factors like interference levels and transmission requirements, then adjusts sensing effort accordingly, achieving acceptable accuracy with reduced time investment.
2Reliability
If secondary users collaborate extensively to reduce spectrum access conflicts, then channel access coordination is improved, but communication overhead and system complexity increase
Solution Approach 1:
The patent introduces a base station as an intermediary that collects channel sensing results from multiple secondary users and coordinates channel access centrally. This mediator approach enables effective collaboration and conflict reduction without requiring direct peer-to-peer communication between SUs, thereby reducing system complexity while maintaining coordination reliability.
Solution Approach 2:
The patent implements feedback mechanisms where secondary users report channel sensing results and access outcomes to the base station, which then adjusts channel assignments and provides guidance to users. This feedback loop enables continuous improvement of coordination effectiveness while maintaining manageable system complexity through centralized control.
3Productivity
If the number of candidate channels for each secondary user is increased to improve spectrum utilization, then spectrum sharing efficiency is improved, but channel selection complexity and sensing overhead increase
Solution Approach 1:
The patent dynamically adjusts the number of candidate channels presented to each secondary user based on system conditions such as interference levels, user priorities, and base station load. By changing this parameter adaptively rather than using a fixed number, the system achieves high spectrum utilization when conditions permit while reducing complexity when resources are constrained.
Solution Approach 2:
The patent applies different channel selection strategies to different secondary users based on their specific requirements, locations, and service priorities. Each user receives a customized set of candidate channels appropriate to their needs, rather than all users receiving the same large set, thereby improving overall spectrum efficiency while managing individual user complexity.
Data Source
AI summary
A dynamic spectrum sharing method based on user online learning and low-overhead cooperation is provided. In the method, a secondary user (SU) obtains spectrum sharing scene information and requirement parameters; then initializes state parameters and spectrum sensing parameters of a channel. At the beginning of each slot, the SU determines whether a direct transmission condition is met according to the transmission condition of the previous slot, and directly continues transmission on the channel of the previous slot or obtains an idle channel according to the channel state and spectrum sensing for transmission, and updates state parameter and spectrum sensing parameter. Finally, an SU base station performs conflict coordination according to the channel occupancy condition for a fixed number of slots. Hence, low-overhead and efficient spectrum sharing is realized by the SU learning the channel state and the transmission condition, such that the spectrum utilization rate in a high user density and dynamic spectrum environment can be effectively improved.