Scheduling real-time traffic with deadlines over a wireless channel
Wireless Networks
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Convex Optimization
Channel-Aware Earliest Deadline Due Fair Scheduling for Wireless Multimedia Networks
Wireless Personal Communications: An International Journal
Resource allocation and cross-layer control in wireless networks
Foundations and Trends® in Networking
Downlink Wireless Packet Scheduling with Deadlines
IEEE Transactions on Mobile Computing
An overview of scheduling algorithms in wireless multimedia networks
IEEE Wireless Communications
Markov-based channel characterization for tractable performance analysis in wireless packet networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Multimedia
Rate-distortion optimized streaming of packetized media
IEEE Transactions on Multimedia
Optimal multiplexing on a single link: delay and buffer requirements
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
PABM-EDCF: parameter adaptive bi-directional mapping mechanism for video transmission over WSNs
Multimedia Tools and Applications
Multimedia Tools and Applications
Hi-index | 0.01 |
We study scheduling of multimedia traffic on the downlink of a wireless communication system. We examine a scenario where multimedia packets are associated with strict deadlines and are equivalent to lost packets if they arrive after their associated deadlines. Lost packets result in degradation of playout quality at the receiver, which is quantified in terms of the "distortion cost" associated with each packet. Our goal is to design a scheduler which minimizes the aggregate distortion cost over all receivers. We study the scheduling problem in a dynamic programming (DP) framework. Under well justified modeling reductions, we extensively characterize structural properties of the optimal control associated with the DP problem. We leverage these properties to design a low-complexity Channel, Deadline, and Distortion (CD2) aware heuristic scheduling policy amenable to implementation in real wireless systems. We evaluate the performance of CD2 via trace-driven simulations using H.264/MPEG-4 AVC coded video. Our experimental results show that CD2 comfortably outperforms benchmark schedulers like earliest deadline first (EDF) and best channel first (BCF). CD2 achieves these performance gains by using the knowledge of packet deadlines, wireless channel conditions, and application specific information (per-packet distortion costs) in a systematic and unified way for multimedia scheduling.