A novel downlink scheduling strategy for traffic communication system based on TD-LTE technology

Area of Science:

• Telecommunications Engineering
• Transportation Systems
• Wireless Communication

Background:

• Classical scheduling algorithms lack suitability for traffic environments, failing to address safety and delay tolerance.
• Existing methods do not adequately differentiate information flows based on traffic safety importance or Quality of Service (QoS) requirements.

Purpose of the Study:

• To propose a novel downlink scheduling strategy for traffic communication systems using TD-LTE technology.
• To enhance transmission performance by considering traffic safety and QoS requirements for diverse information flows.

Main Methods:

• Developed a two-classification mapping system in the eNodeB to assign importance weights based on traffic safety relevance and QoS requirements.
• Implemented a scheduling importance weight function to determine the scheduling order of packets periodically.
• Simulated various traffic scenarios to evaluate the proposed algorithm's performance.

Main Results:

• The proposed algorithm provides superior differentiated transmission services and reliable QoS guarantees for varying traffic safety levels and service types.
• It ensures priority scheduling for traffic safety-related information flows, enhancing passenger safety.
• Achieved comparable flow throughput and user fairness to the existing PF algorithm, with improved real-time transmission guarantees.

Conclusions:

• The novel scheduling strategy is more suitable for traffic transportation environments than traditional algorithms like PF.
• It effectively balances traffic safety priorities with user fairness and throughput demands.
• Offers a reliable QoS guarantee, particularly for real-time information crucial for safe transportation.