ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Online market driven spectrum scheduling and auction
Full text PdfPdf (391 KB)
Source
International Conference on Mobile Computing and Networking archive
Proceedings of the 2009 ACM workshop on Cognitive radio networks table of contents
Beijing, China
SESSION: Cognitive access and networking table of contents
Pages: 49-54  
Year of Publication: 2009
ISBN:978-1-60558-738-7
Authors
Ping Xu  Illinois Institute of Technology, Chicago, IL, USA
Xiang-Yang Li  Hangzhou Dianzi University, Hangzhou, China
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 21,   Downloads (12 Months): 72,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1614235.1614247
What is a DOI?

ABSTRACT

In this paper we study the online spectrum scheduling using a market driven approach. We assume that each new arrival spectrum request, when it arrives, requests for the exclusive usage of some channels for a certain time interval. The spectrum owner has to decide immediately whether to grant its exclusive usage or not. If it is granted, the secondary user will be charged a payment. We assume that existing running requests can be preempted with a penalty depending on its bid value, its requested time duration and the remaining unserved time. For various possible known information, we present efficient scheduling algorithms to schedule requests and prove that the competitive ratios of our methods are asymptotically optimum, i.e., within small constant factors of the optimum online methods. Our extensive simulations show that our algorithms perform almost optimum: most of our methods can get a total profit that is more than 80% of the optimum.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
 
3
 
4
Fleischer, R., and Wahl, M. On-line scheduling revisited. J. of Scheduling 3, 343--353 (2000).
 
5
 
6
Goemans, M. X., Wein, J. M., and Williamson, D. P. A 1.47-approximation algorithm for a preemptive single-machine scheduling problem. Operations Research Letters 26, 4 (2004), 149--154.
 
7
Graham, R. Bounds for certain multiprocessing anomalies. Bell System Technical Journal 45, 1563--1581 (1966).
 
8
Hoogeveen, H., Potts, C. N., and Woeginger, G. J. On-line scheduling on a single machine: maximizing the number of early jobs. Operations Research Letters 27, 5 (2000), 193--197.
 
9
 
10
 
11
 
12
 
13
 
14
 
15
Zheng, F., Xu, Y., and Zhang, E. On-line production order scheduling with preemption penalties. Journal of Combinatorial Optimization 13 (2007), 189--204.
16
17
 
18
Zhou, X., and Zheng, H. Trust: A general framework for truthful double spectrum auctions. In INFOCOM2009, pp. 999--1007