Although the medium access control (MAC) signaling has been well-defined in the 3rd generation partnership project (3GPP) long term evolution (LTE) specifications, the scheduling algorithm crucial to guarantee Q...Although the medium access control (MAC) signaling has been well-defined in the 3rd generation partnership project (3GPP) long term evolution (LTE) specifications, the scheduling algorithm crucial to guarantee QoS performance, still remains as open issues. In this article, a traffic-based queue-aware scheduling (TQS) algorithm is proposed for evolved nodeB's (eNB's) MAC scheduler in 3GPP LTE broadband wireless networks. The proposed TQS is divided into three sub-algorithms: firstly, the authors propose a traffic model construction (TMC) algorithm which can construct a discrete-time Markov-modulated Poisson process (dMMPP) to represent each flow. Secondly, a newly traffic state estimation (TSE) algorithm is designed to obtain the queue's analytical statistics. Thirdly, based on the derived results of TSE and the channel states, a scheduling action decision (SAD) algorithm is presented that can adaptively allocate bandwidth to flows by considering both queue states and spectrum efficiency. Simulation shows that the TMC and TSE algorithm can capture the fluctuation of traffic and queue accurately. Moreover, compared with a widely accepted traffic-based scheduling algorithm, the proposed TQS has better average queue length and overflow probability performance.展开更多
Efficient radio resource allocation is essential to provide quality of service (QoS) for wireless networks. In this article, a cross-layer resource allocation scheme is presented with the objective of maximizing sys...Efficient radio resource allocation is essential to provide quality of service (QoS) for wireless networks. In this article, a cross-layer resource allocation scheme is presented with the objective of maximizing system throughput, while providing guaranteed QoS for users. With the assumption of a finite queue for arrival packets, the proposed scheme dynamically a/locates radio resources based on user's channel characteristic and QoS metrics derived from a queuing model, which considers a packet arrival process modeled by discrete Markov modulated Poisson process (dMMPP), and a multirate transmission scheme achieved through adaptive modulation. The cross-layer resource allocation scheme operates over two steps. Specifically, the amount of bandwidth allocated to each user is first derived from a queuing analytical model, and then the algorithm finds the best subcarrier assignment for users. Simulation results show that the proposed scheme maximizes the system throughput while guaranteeing QoS for users.展开更多
基金supported by the National Youth Science Fund Project(61302080)the Specialized Research Fund for the Doctoral Program of Higher Education(20120005120010)the General Program of National Natural Science Foundation of China(61271182)
文摘Although the medium access control (MAC) signaling has been well-defined in the 3rd generation partnership project (3GPP) long term evolution (LTE) specifications, the scheduling algorithm crucial to guarantee QoS performance, still remains as open issues. In this article, a traffic-based queue-aware scheduling (TQS) algorithm is proposed for evolved nodeB's (eNB's) MAC scheduler in 3GPP LTE broadband wireless networks. The proposed TQS is divided into three sub-algorithms: firstly, the authors propose a traffic model construction (TMC) algorithm which can construct a discrete-time Markov-modulated Poisson process (dMMPP) to represent each flow. Secondly, a newly traffic state estimation (TSE) algorithm is designed to obtain the queue's analytical statistics. Thirdly, based on the derived results of TSE and the channel states, a scheduling action decision (SAD) algorithm is presented that can adaptively allocate bandwidth to flows by considering both queue states and spectrum efficiency. Simulation shows that the TMC and TSE algorithm can capture the fluctuation of traffic and queue accurately. Moreover, compared with a widely accepted traffic-based scheduling algorithm, the proposed TQS has better average queue length and overflow probability performance.
基金the National Natural Science Foundation of China (60632030)the Hi-Tech Research and Development Program of China (2006AA01Z283, 2006DFA11050)
文摘Efficient radio resource allocation is essential to provide quality of service (QoS) for wireless networks. In this article, a cross-layer resource allocation scheme is presented with the objective of maximizing system throughput, while providing guaranteed QoS for users. With the assumption of a finite queue for arrival packets, the proposed scheme dynamically a/locates radio resources based on user's channel characteristic and QoS metrics derived from a queuing model, which considers a packet arrival process modeled by discrete Markov modulated Poisson process (dMMPP), and a multirate transmission scheme achieved through adaptive modulation. The cross-layer resource allocation scheme operates over two steps. Specifically, the amount of bandwidth allocated to each user is first derived from a queuing analytical model, and then the algorithm finds the best subcarrier assignment for users. Simulation results show that the proposed scheme maximizes the system throughput while guaranteeing QoS for users.