Titlebook: Sequential Learning and Decision-Making in Wireless Resource Management; Rong Zheng,Cunqing Hua Book 2016 Springer International Publishin

ROOF

旁觀者

消耗

Systemic

Ostrich

Adversarial Multi-armed BanditWe first introduce the problem and define new notations of regret. We then describe a few well-known algorithms for this problem and provide the asymptotic performance results for these strategies. Finally, we generalize the adversarial MAB problem to the multiplayer case and connect it with the rep

羊欄

Spectrum Sensing and Access in Cognitive Radio Networkst of them have been already licensed to existing operators. Recent studies have shown that despite claims of spectral scarcity, the actual licensed spectrum remains unoccupied for long periods of time. Thus, cognitive radio (CR) systems have been proposed in order to efficiently exploit these spectr

affluent

Sniffer-Channel Assignment in Multichannel Wireless Networksributed sniffers cooperatively monitor PHY and MAC characteristics, and interactions at various layers of the protocol stacks, both within a managed network and across multiple administrative domains. One important issue in designing a monitoring network is to determine which set of frequency bands

偽造

Channel Selection and User Association in WiFi Networks, and real-time service delivery. Due to extremely high user density, channel allocation and user association should be carefully managed so that co-channel inference can be mitigated. Channel selection and user association (CSUA) is formulated as an adversarial MAB problem, which captures not only

誘拐

Book 2016ls in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible..

漂亮

Spectrum Sensing and Access in Cognitive Radio Networks spectrum sensing and access in cognitive radio networks. Depending on the nature of the activities in the network, different categories of MAB problems have been formulated. Solutions and regret bounds are provided.