Wireless Cell Congestion Control Through Biased Traffic Shaping
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Solution Overview
Problem
Cellular networks experience localized congestion at specific geographic locations due to high data consumption by a few devices, leading to disruptions and inability to accommodate new connections during peak times.
Innovation Solution
A system that determines congestion levels for individual data sessions and the cell site, dynamically enforcing flow policies to limit bandwidth usage of high-consuming sessions, thereby optimizing network performance and accommodating new connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If bandwidth is allocated to high data consumption sessions, then network coverage is expanded, but cell site congestion increases
Solution Approach 1:
The patent applies local quality by differentiating treatment based on local conditions at each cell site. Flow policies are enforced selectively at congested cell sites rather than uniformly across the entire network. The system identifies specific cell sites experiencing congestion and applies bandwidth limiting only to high-consuming sessions at those locations, while maintaining full bandwidth for other cell sites. This localized approach preserves network coverage expansion capabilities where needed while managing congestion where present.
Solution Approach 2:
The patent implements dynamics through continuous monitoring and adaptive enforcement of flow policies. The system periodically evaluates congestion levels at cell sites and dynamically adjusts bandwidth allocation in real-time. When congestion is detected, the system activates flow policies to limit bandwidth for high-consuming sessions; when congestion resolves, bandwidth allocation is restored. This dynamic adaptation allows the network to expand coverage when conditions permit while preventing congestion when resources are constrained.
2Reliability
If flow policies are enforced to limit bandwidth, then cell congestion is reduced, but data transmission speed decreases
Solution Approach 1:
The patent applies partial action by enforcing flow policies selectively rather than universally. Bandwidth limiting is applied only to high data consumption sessions (the excessive portion) rather than all sessions equally. The system identifies sessions consuming disproportionately high bandwidth and targets only those for policy enforcement, while allowing normal-speed transmission for sessions within acceptable parameters. This partial enforcement reduces congestion impact while minimizing speed penalties for legitimate traffic.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting bandwidth allocation parameters based on real-time congestion conditions. The system modifies maximum bandwidth parameters for specific sessions based on their consumption patterns and the current state of the cell site. When congestion is detected, bandwidth parameters are reduced for high-consuming sessions; when conditions improve, parameters are increased. This dynamic parameter adjustment optimizes the balance between congestion reduction and maintaining acceptable transmission speeds.
3Productivity
If bandwidth is allocated to accommodate new connections, then network capacity increases, but existing connections may be disrupted
Solution Approach 1:
The patent applies preliminary action by evaluating and managing bandwidth allocation before new connections are established. The system continuously monitors available bandwidth and congestion levels, making preliminary decisions about capacity allocation. When a new connection request arrives, the system has already assessed whether sufficient bandwidth exists and can proactively manage the allocation, preventing disruption to existing connections before they are affected. This advance planning allows the network to accommodate new connections when possible while protecting existing sessions from disruption.
4Reliability
If congestion management is implemented, then network stability is improved, but system complexity increases
Solution Approach 1:
The patent applies self-service by implementing autonomous congestion management where the network system automatically monitors, detects, and responds to congestion conditions without requiring external intervention. The system self-evaluates congestion levels, self-determines which flow policies to enforce, and self-adjusts bandwidth allocation in real-time. This automation handles the complexity internally, improving network stability through continuous self-optimization while keeping the user experience simple and transparent.
Data Source
AI summary
Systems and methods are provided for alleviating congestion of data traffic in a wireless network in a cell site. The methods determine congestion levels for respective data connections from mobile computing devices to a network through a cell tower in a cell site. The method further determines a congestion level associated with the cell site based on a weighted aggregate of varying congestion levels associated with the respective data connections in the cell site. The disclosed technology includes flow policies associated with congestion levels. The flow policies determine weights used for determining the weighted aggregate and maximum network bandwidth enforced for the respective data connections. The disclosed technology identifies data connections that consume abnormally high amount of network bandwidth and throttles with bias against data traffic associated with these data connections with heavy traffic. Through dynamically updating traffic shaping with bias, the present disclosure alleviates congestion in the cell site.