Dynamic Access Probability for Mobile Terminal Random Access
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Solution Overview
Problem
In communication networks, especially during large-scale events, the high priority of emergency calls leads to network congestion as all services with the highest priority access probability are 100%, exceeding network capacity and causing simultaneous failures.
Innovation Solution
A dynamic access probability calculation method is introduced, where the access probability for highest priority services is adjusted using a formula P0=M+P(N), allowing for a probability less than 100% by incorporating a preset parameter M, thereby preventing network overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the access probability of highest priority services is set to 100%, then the access success rate of emergency calls is improved, but the network capacity is exceeded and simultaneous failures occur
Solution Approach 1:
The patent applies dynamics by making the access probability dynamic rather than fixed. The access probability is adjusted based on real-time network conditions, specifically the number of active users and network load. When network conditions are good, higher priority services get higher access probability; when network is congested, the probability is reduced to prevent overload. This resolves the contradiction by allowing the system to adapt between ensuring emergency call success and maintaining overall network capacity.
Solution Approach 2:
The patent changes the parameter of access probability from a fixed value (100%) to a variable parameter that depends on network conditions and service priority. The access probability is calculated using a formula that incorporates network load factors and service priority levels, allowing the system to optimize between reliability for emergency calls and overall network productivity by adjusting this key parameter dynamically.
2Reliability
If the access probability is increased for high priority services, then the service access success is improved, but the network congestion is worsened
Solution Approach 1:
The patent applies local quality by differentiating access probability based on service priority levels and local network conditions. Different service classes (emergency calls, urgent services, normal services) receive different access probabilities tailored to their specific needs and the current network state. This allows high-priority services to get preferential treatment when needed while preventing overall network congestion through localized probability adjustments.
Solution Approach 2:
The system dynamically adjusts access probability based on real-time network conditions. When network congestion is detected, the access probability for all services is modulated appropriately - maintaining high probability for critical emergency services while reducing probability for less critical services, thus resolving the contradiction between service access success and network congestion.
Data Source
AI summary
The present invention discloses a random access method, a mobile terminal, and a mobile communications system, and relates to the communications field. The method includes: obtaining a dynamic probability class (N) and an access service class (ASC) of a current service that are in a system information block; calculating an access probability of the current service according to the N and the ASC of the current service; successively comparing random numbers corresponding to available access timeslots with the access probability of the current service until a random number corresponding to an available access timeslot is less than or equal to the access probability of the current service; and sending an access preamble to a base station in the available access timeslot. Embodiments of the present invention apply to establishment of a random access process for a mobile terminal.