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	Exact Implementation of Abstract MAC Layer via Carrier Sensing
	Dongxiao Yu; Yong Zhang; Yuyao Huang; Hai Jin; Francis Lau
	2018
会议日期	2018
英文摘要	The problem of item selling with the objective of maximizing the revenue is studied. Given a seller with k types of items and n single- minded buyers, i.e., each buyer is only interested in a particular bundle of items, to maximize the revenue, the seller must carefully assign some amount of bundles to each buyer with respect to the buyer’s accepted price. Each buyer bi is associated with a value function vi(·) such that vi(x) is the accepted unit bundle price bi is willing to pay for x bundles. We show that the single-minded item selling problem is NP-hard. More- over, we give an O(√k)-approximation algorithm. For the online version, i.e., the buyers come one by one and the decision on each buyer must be made before the arrival of the next buyer, an O(√k · (log h + log k))- competitive algorithm is achieved, where h is the highest unit item price among all buyers.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14068]
专题	深圳先进技术研究院_数字所
推荐引用方式 GB/T 7714	Dongxiao Yu,Yong Zhang,Yuyao Huang,et al. Exact Implementation of Abstract MAC Layer via Carrier Sensing[C]. 见:. 2018.

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