Paper Info
Title
The optimal user scheduling for LTE-A downlink with heterogeneous traffic types
Abstract
The current mobile broadband market experiences major growth in data demand and average revenue loss. To remain profitable from the perspective of a service provider (SP), one needs to maximize revenue as much as possible by making subscribers satisfied within the limited budget. On the other hand, traffic demands are moving toward supporting the wide range of heterogeneous services with different quality of service (QoS) requirements. In this paper, we consider packet scheduling problem in the 4th generation partnership project (3GPP) long term evolution-advanced (LTE-A) system to optimize the long-term average revenue of SPs subject to differential QoS constraints for heterogeneous traffic demands. The QoS-constrained control problem is first formulated as a constrained Markov decision process (CMDP) problem, of which the optimal control policy is achieved by utilizing the channel and queue information simultaneously. Subsequently, based on the proposed CMDP problem, we further formulated an optimization problem which stochastically grantees the QoS through a chance constraint. To make the proposed chance-constraint programming problem computationally tractable, we use Bernstein approximation technique to analytically approximate the chance constraint as a convex conservative constraint. Finally, the proposed scheduling framework and solution methods are validated via numerical simulation.
Year
DOI
Venue
2014
10.1109/QSHINE.2014.6928660
Heterogeneous Networking for Quality, Reliability, Security and Robustness
Keywords
Field
DocType
3G mobile communication,Long Term Evolution,Markov processes,data communication,optimal control,optimisation,quality of service,scheduling,telecommunication control,telecommunication traffic,3GPP long term evolution-advanced system,4th generation partnership project,Bernstein approximation technique,CMDP problem,LTE-A downlink,LTE-A system,QoS constraints,QoS requirements,QoS-constrained control problem,SP,chance-constraint programming problem,constrained Markov decision process problem,convex conservative constraint,data demand,heterogeneous services,heterogeneous traffic demands,heterogeneous traffic types,mobile broadband market,optimal control policy,packet scheduling problem,quality of service,queue information,revenue loss,service provider,user scheduling,Bernstein approximation,LTE-A,constrained Markov decision process,heterogeneous delay requirements,resource scheduling
Mathematical optimization,Optimal control,Scheduling (computing),Computer science,Quality of service,Markov decision process,Service provider,Optimization problem,Mobile broadband,LTE Advanced
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Samira Niafar140.77
Xiaoqi Tan29114.79
Tsang, D.H.K.322727.39