DocumentCode :
2334393
Title :
Distributed Opportunistic Scheduling for Ad-Hoc Communications Under Delay Constraints
Author :
Tan, Sheu-Sheu ; Zheng, Dong ; Zhang, Junshan ; Zeidler, James
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
1
Lastpage :
9
Abstract :
With the convergence of multimedia applications and wireless communications, there is an urgent need for developing new scheduling algorithms to support real-time traffic with stringent delay requirements. However, distributed scheduling under delay constraints is not well understood and remains an under-explored area. A main goal of this study is to take some steps in this direction and explore the distributed opportunistic scheduling (DOS) with delay constraints. Consider a network with M links which contend for the channel using random access. Distributed scheduling in such a network requires joint channel probing and distributed scheduling. Using optimal stopping theory, we explore DOS for throughput maximization, under two different types of average delay constraints: 1) a network-wide constraint where the average delay should be no greater than ?; or 2) individual user constraints where the average delay per user should be no greater than am, m = 1,..., M. Since the standard techniques for constrained optimal stopping problems are based on sample-path arguments and are not applicable here, we take a stochastic Lagrangian approach instead. We characterize the corresponding optimal scheduling policies accordingly, and show that they have a pure threshold structure, i.e. data transmission is scheduled if and only if the rate is above a threshold. Specifically, in the case with a network-wide delay constraint, somewhat surprisingly, there exists a sharp transition associated with a critical time constant, denoted by ?*. If a is less than ?*, the optimal rate threshold depends on ?; otherwise it does not depends on a at all, and the optimal policy is the same as that in the unconstrained case. In the case with individual user delay constraints, we cast the threshold selection problem across links as a non-cooperative game, and establish the existence of Nash equilibria. Again we observe a sharp transition associated with critical time constants {?m<- - /sub> *}, in the sense that when ?m ? am * for all users, the Nash equilibrium becomes the same one as if there were no delay constraints.
Keywords :
ad hoc networks; game theory; scheduling; stochastic processes; telecommunication traffic; Nash equilibrium; ad-hoc communications; critical time constant; delay constraints; distributed opportunistic scheduling; joint channel probing; network-wide constraint; optimal stopping theory; real-time traffic; stochastic Lagrangian approach; threshold selection; throughput maximization; user constraints; Constraint theory; Convergence; Delay; Lagrangian functions; Optimal scheduling; Scheduling algorithm; Stochastic processes; Telecommunication traffic; Throughput; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2010 Proceedings IEEE
Conference_Location :
San Diego, CA
ISSN :
0743-166X
Print_ISBN :
978-1-4244-5836-3
Type :
conf
DOI :
10.1109/INFCOM.2010.5462120
Filename :
5462120
Link To Document :
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