Achieving MAC layer fairness in wireless packet networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Convex Optimization
Proceedings of the 10th annual international conference on Mobile computing and networking
Stable scheduling policies for fading wireless channels
IEEE/ACM Transactions on Networking (TON)
QoS-Oriented Packet Scheduling for Wireless Multimedia CDMA Communications
IEEE Transactions on Mobile Computing
Scheduler design for heterogeneous traffic in cellular networks with multiple channels
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Cross-layer optimization for OFDM wireless networks-part I: theoretical framework
IEEE Transactions on Wireless Communications
Cross-layer resource allocation for integrated Voice/Data traffic in wireless cellular networks
IEEE Transactions on Wireless Communications
Opportunistic transmission scheduling with resource-sharing constraints in wireless networks
IEEE Journal on Selected Areas in Communications
Scheduler design for heterogeneous traffic in cellular networks with multiple channels
WICON '07 Proceedings of the 3rd international conference on Wireless internet
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The design of an efficient base station scheduler with the ability to support different kinds of IP traffic, ranging from conventional data to real-time IP services plays a crucial role in the all-IP convergence goal of next-generation cellular systems. In this context, we first consider the basic network utility based data (rate) scheduler and extend it to a more generic, unified scheduler, capable of handling heterogeneous (data and voice) traffic types and their respective parameters (rate, delay and jitter). More importantly, we then consider the case where both the base station and mobile users are equipped with multiple sub-channels as in OFDM systems. The introduction of multiple sub-channels exponentially increases the search space for scheduling decisions as well as significantly increases the feedback overhead. To reduce the complexity of scheduling and the feedback overhead without sacrificing appreciably on performance, we propose a parameter-based optimization. While such an optimization does not reduce the complexity and overhead in single channel systems, we show that it has the potential to significantly reduce complexity and overhead in multiple channel systems. This is achieved in the form of a unified scheduling algorithm that identifies and exploits specific transmission strategies that optimize individual parameters. This is verified through comprehensive evaluations in a packet-level event-driven network simulator.