Scheduling real-time traffic with deadlines over a wireless channel
Wireless Networks
Opportunistic Scheduling of Delay Sensitive Traffic in OFDMA-BasedWireless
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Downlink Wireless Packet Scheduling with Deadlines
IEEE Transactions on Mobile Computing
An adaptive cross-layer design for multiservice scheduling in OFDMA based mobile WiMAX systems
Computer Communications
Opportunistic Scheduling for Heterogeneous Services in Downlink OFDMA System
CMC '09 Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 01
WiMAX: Technology for Broadband Wireless Access
WiMAX: Technology for Broadband Wireless Access
A Downlink Delay-Minimized Scheduling Scheme for OFDMA WiMAX Systems
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Traffic scheduling for frame length minimization in OFDMA based systems
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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This paper considers the problem of scheduling realtime traffic in OFDMA systems. We present two heuristics with the objective of meeting as much deadlines as possible, or equivalently, minimizing the number of missed deadlines. The proposed heuristics decide on the allocation priority, taking into account several known parameters about the users and their service requests, such as the available carriers data rates for each user, the traffic amount and deadlines requirements of each service request. These available parameters are combined together by our heuristics for deciding a priority order by which to schedule the service requests. Specifically, we compare two realtime traffic allocation mechanisms: "per-time slot" scheme and "per-deadline" one. We evaluate our proposed heuristics performance, by means of simulations, computing the deadlines miss ratio (DMR), the percentage of users which miss more than 5% of deadlines (UMR) and the maximum missed deadlines percentage for the user who missed most (MMD).