Scheduling with limited information in wireless systems
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Learning to optimally exploit multi-channel diversity in wireless systems
INFOCOM'10 Proceedings of the 29th conference on Information communications
INFOCOM'10 Proceedings of the 29th conference on Information communications
WSEAS TRANSACTIONS on COMMUNICATIONS
Throughput, power and cost comparison of Zigbee-based and ISM-based WSAN implementations
ELECTRO'10 Proceedings of the 8th WSEAS international conference on Applied electromagnetics, wireless and optical communications
Dynamic channel, rate selection and scheduling for white spaces
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
CSpy: finding the best quality channel without probing
Proceedings of the 19th annual international conference on Mobile computing & networking
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In broadcast fading channel, channel variations can be exploited through what is referred to as multi-user diversity and opportunistic scheduling for improving system performance. To achieve the gains promised by this kind of diversity, the transmitter has to accurately track the channel variations of the various receivers, which consumes resources (time, energy, bandwidth), and thus reduces the resources remaining for effective data transmissions. The transmitter may decide not to acquire or probe the channel conditions of certain receivers, either because these receivers are presumably experiencing severe fading, or because the transmitter wishes to spare resources for data transmissions. It may also decide to transmit to a receiver without probing its channel; in such cases, the transmitter guesses the channel state, which often results in a reduction of the transmission rate compared to when the transmitter knows the channel state. Ultimately, the transmitter has to decide to which receiver it should transmit. In this paper, we identifying the joint probing and transmission strategies realizing the optimal trade-off between the channel state acquisition and the effective data transmission. The objective is to maximize the system throughput. Finally, we propose several extensions of the proposed strategy, including a scheme to maximize the system utility and a scheme to ensure the system stability.