dc.contributor.author | Singh, Rahul | |
dc.contributor.author | Modiano, Eytan H | |
dc.date.accessioned | 2020-07-23T11:59:35Z | |
dc.date.available | 2020-07-23T11:59:35Z | |
dc.date.issued | 2017-12 | |
dc.identifier.isbn | 9781509028733 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/126333 | |
dc.description.abstract | We consider the problem of designing risk-sensitive optimal control policies for scheduling packet transmissions in a stochastic wireless network. A single client is connected to an access point (AP) through a wireless channel. Packet transmission incurs a cost C, while packet delivery yields a reward of R units. The client maintains a finite buffer of size B, and a penalty of L units is imposed upon packet loss which occurs due to buffer overflow. We show that the risk-sensitive optimal control policy for such a simple set-up is of threshold type, i.e., it is optimal to carry out packet transmissions only when Q(t), i.e., the queue length at time t exceeds a certain threshold t. It is also shown that the value of the threshold t increases upon increasing the cost per unit packet transmission C. Furthermore, it is also shown that a threshold policy with threshold equal to t is optimal for a set of problems in which cost C lies within an interval [Cl, Cu]. Equations that need to be solved in order to obtain C¡, Cu are also provided. | en_US |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.isversionof | 10.1109/CDC.2017.8264182 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | arXiv | en_US |
dc.title | Risk-sensitive optimal control of queues | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Singh, Rahul, Xueying Guo and Eytan Modiano. “Risk-sensitive optimal control of queues.” Paper presented at the 2017 IEEE 56th Annual Conference on Decision and Control (CDC) Conference, Melbourne, VIC, Australia, 12-15 Dec 2017, © 2017, IEEE The Author(s) | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
dc.relation.journal | 2017 IEEE 56th Annual Conference on Decision and Control (CDC) | en_US |
dc.eprint.version | Original manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2019-10-30T14:14:41Z | |
dspace.date.submission | 2019-10-30T14:14:44Z | |
mit.journal.volume | 2017 | en_US |
mit.metadata.status | Complete | |