Improving Qos for Real-Time Traffic using Multiple Low Latency Queueing Scheduling Mechanisms
In This work, a Multiple Low Latency Queuing scheduling mechanism model is developed to improve the QoS
performance for real time and critical mission data traffic in LTE mobile networks. The main objective of this model is to
achieve minimum delay and improve the QoS for real time applications (like Live Video and Voice over LTE). In addition,
issues like starvation of lower priority queues and bandwidth allocation are addressed. The model is composed of four
components, first, classifier to classify the incoming traffic in router interface. Second, four Class Based Weighted Fair
Queues (CBWFQ) scheduling mechanisms, with activation of strict priority feature in the first two queues. Third, two
separate rate limiters (policers), one for each strict priority queue. Fourth, two scenarios are designed and simulated using
Optimized Network Engineering Tool (OPNET). The results show that, in the case of Multiple Low Latency Queuing
scheduling mechanism model, the real time traffic suffers less delay compared to the case of existing scheduling mechanisms
like (Custom Queuing, Priory Queuing, CBWFQ and Low Latency Queuing). On the other hand, the model also addressed
the starvation of lower-priority queues problem.
Keywords- QoS , QCI,CBWFQ,VoLTE,VIDEO,LLQ, CQ,PQ.