Scheduling Disciplines in Cellular Data Services with Probabilistic Location Errors
نویسندگان
چکیده
To provide cellular data services with differentiated QoS in a high data error-rate environment, a λ-WFQ scheduling discipline, based on the WFQ mechanism and LaGrange λ-calculus was developed. The air resources are allocated using λ-calculus and then the WFQ mechanism is responsible for the transmission scheduling. λ-WFQ discipline compensated for the penalty derived from the location-dependent errors using the equivalent efficiency concept. This discipline can generate a fair schedule for a diverse mix of traffic with diverse QoS requirements in a limited radio spectrum. The experimental results show that as much as 5% improvement in the mean acceptance rate is obtained relative to other existing WFQ-based schemes at the expense of a small blocking performance.
منابع مشابه
A mathematical model for sustainable probabilistic network design problem with construction scheduling considering social and environmental issues
Recent facility location allocation problems are engaged with social, environmental and many other aspects, besides cost objectives.Obtaining a sustainable solution for such problems requires development of new mathematical modeling and optimization algorithms. In this paper, an uncapacitated dynamic facility location-network design problem with random budget constraints is considered. Social i...
متن کاملDTNC: A New Server-side Data Cleansing Framework for Cellular Trajectory Services
It is essential for the cellular network operators to provide cellular location services to meet the needs of their users and mobile applications. However, cellular locations, estimated by network-based methods at the server-side, bear with high spatial errors and arbitrary missing locations. Moreover, auxiliary sensor data at the client-side are not available to the operators. In this paper, w...
متن کاملThe Reliable Hierarchical Location-allocation Model under Heterogeneous Probabilistic Disruptions
This paper presents a novel reliable hierarchical location-allocation model where facilities are subject to the risk of disruptions. Based on the relationship between various levels of system, a multi-level multi-flow hierarchy is considered. The heterogeneous probabilistic disruptions are investigated in which the constructed facilities have different site-dependent and independent failure rat...
متن کاملA multi-class probabilistic priority scheduling discipline for differentiated services networks
Differentiated Services (DiffServ) is a promising architecture for the next generation Internet due to its highly flexible, scalable and interoperable design. In DiffServ, scheduling disciplines play an important role in achieving service differentiation. In this paper, we extend the average delay analysis of the Probabilistic Priority (PP) scheduling discipline first proposed in [8] to the mul...
متن کاملEfficiency of a multi-objective imperialist competitive algorithm: A bi-objective location-routing-inventory problem with probabilistic routes
An integrated model considers all parameters and elements of different deficiencies in one problem. This paper presents a new integrated model of a supply chain that simultaneously considers facility location, vehicle routing and inventory control problems as well as their interactions in one problem, called location-routing-inventory (LRI) problem. This model also considers stochastic demands ...
متن کامل