Communication Networks CAC and routing for multi-service networks with blocked wide-band calls delayed, Part II: approximative link MDP framework

In this paper, we study the call admission control (CAC) and routing issue in multi-service networks. Two categories of calls are considered: a narrow-band with blocked calls cleared and a wide-band with blocked calls delayed. The optimisation is subject to several quality of service (QoS) constraints, either on the packet or call level. The objective function is formulated as reward maximisation with penalty for delay. A suboptimal solution is achieved by applying Markov decision process (MDP) theory together with a three-level approximation. First, the network is decomposed into a set of links assumed to have independent Markov and reward processes respectively. Second, the dimensions of the link Markov and reward processes are reduced by aggregation of the call classes into call categories. Third, by applying decomposition of the link Markov process, the link MDP tasks are simplified considerably. The CAC and routing policy is computed by the policy iteration algorithm from MDP theory. The numerical results show that the proposed CAC and routing method, based on the approximate link MDP framework, is able to find an efficient trade-off between reward loss and average call set-up delay, outperforming conventional methods such as least loaded routing (LLR).

[1]  Keith W. Ross,et al.  Computing approximate blocking probabilities for large loss networks with state-dependent routing , 1993, TNET.

[2]  Ernst Nordström,et al.  Communication Networks A new reward model for MDP state aggregation with application to CAC and Routing , 2005, Eur. Trans. Telecommun..

[3]  Dong-wan Tcha,et al.  Link-by-Link Bandwidth Allocation in an Integrated Voice/Data Network Using The Fuzzy Set Approach , 1989, Comput. Networks.

[4]  John N. Tsitsiklis,et al.  Call admission control and routing in integrated services networks using neuro-dynamic programming , 2000, IEEE Journal on Selected Areas in Communications.

[5]  J. Kaufman,et al.  Blocking in a Shared Resource Environment , 1981, IEEE Trans. Commun..

[6]  Lorne G. Mason,et al.  A multiserver queue with narrow- and wide-band customers and wide-band restricted access , 1988, IEEE Trans. Commun..

[7]  Gerald R. Ash,et al.  Dynamic Routing in Telecommunications Networks , 1997 .

[8]  S. Aggarwal,et al.  Link-by-link bandwidth allocation in an integrated software environment , 1989 .

[9]  Zbigniew Dziong,et al.  ATM Network Resource Management , 1997 .

[10]  Rouch Guerin,et al.  Queueing-blocking system with two arrival streams and guard channels , 1988, IEEE Trans. Commun..

[11]  Premkumar T. Devanbu,et al.  Resource Management , 2000, EDO.

[12]  Zbigniew Dziong,et al.  Call admission and routing in multi-service loss networks , 1994, IEEE Trans. Commun..

[13]  Catherine Rosenberg,et al.  Blocking evaluation for networks with reward maximization routing , 1993, IEEE INFOCOM '93 The Conference on Computer Communications, Proceedings.

[14]  Z. Dziong,et al.  An analysis of near optimal call admission and routing model for multi-service loss networks , 1992, [Proceedings] IEEE INFOCOM '92: The Conference on Computer Communications.

[15]  Henk Tijms,et al.  Stochastic modelling and analysis: a computational approach , 1986 .

[16]  Zbigniew Dziong,et al.  Flow control models for multi-service networks with delayed call set up , 1990, Proceedings. IEEE INFOCOM '90: Ninth Annual Joint Conference of the IEEE Computer and Communications Societies@m_The Multiple Facets of Integration.

[17]  Jorma T. Virtamo,et al.  Polynomial cost approximations in markov decision theory based call admission control , 2001, TNET.

[18]  Lorne Mason,et al.  An approximate performance model for a multislot integrated services system , 1989, IEEE Trans. Commun..

[19]  Hans-Jürgen Zimmermann,et al.  Applications of fuzzy set theory to mathematical programming , 1985, Inf. Sci..

[20]  Ronald A. Howard,et al.  Dynamic Programming and Markov Processes , 1960 .

[21]  Villy Bæk Iversen,et al.  TELETRAFFIC ENGINEERING HANDBOOK , 2001 .