Performance Analysis of Adaptive Rate Scheduling Scheme for 3G WCDMA Wireless Networks with Multi-Operators

Sharing of 3G network infrastructure among operators offers an alternative solution to reducing the investment in the coverage phase of WCDMA. For radio access network (RAN) sharing method each operator has its own core network and only the RAN is shared. Without an efficient RRM, one operator can exhausts the capacity of others. This paper proposes and analyzes an efficient uplink-scheduling scheme in case of RAN sharing method. We refer to this new scheme as multi-operators code division generalized processor sharing scheme (M-CDGPS). It employs both adaptive rate allocation to maximize the resource utilization and GPS techniques to provide fair services for each operator. The performance analysis of this scheme is derived using the GPS performance model. Also, it is compared with static rate M-CDGPS scheme. Numerical and simulation results show that the proposed adaptive rate M-CDGPS scheduling scheme improves both system throughput and average delays.

[1]  Xudong Wang.  An FDD wideband CDMA MAC protocol for wireless multimedia networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[2]  Donald F. Towsley,et al.  Statistical Analysis of Generalized Processor Sharing Scheduling Discipline , 1995, IEEE J. Sel. Areas Commun..

[3]  Anujan Varma,et al.  Efficient fair queueing algorithms for packet-switched networks , 1998, TNET.

[4]  Xuemin Shen,et al.  Dynamic fair scheduling with QoS constraints in multimedia wideband CDMA cellular networks , 2004, IEEE Transactions on Wireless Communications.

[5]  Parameswaran Ramanathan,et al.  Adapting packet fair queueing algorithms to wireless networks , 1998, MobiCom '98.

[6]  H. Vincent Poor,et al.  An adaptive rate processor sharing technique , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[7]  Radu State,et al.  Service management for multi-operator heterogeneous networks , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[8]  Georgios B. Giannakis,et al.  Packet fair queueing scheduling based on multirate multipath-transparent CDMA for wireless networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[9]  Xuemin Shen,et al.  Fair resource allocation with guaranteed statistical QoS for multimedia traffic in wideband CDMA cellular network , 2005, IEEE Transactions on Mobile Computing.

[10]  Abhay Parekh,et al.  A generalized processor sharing approach to flow control in integrated services networks: the single-node case , 1993, TNET.

[11]  Uthman A. Baroudi,et al.  An Uplink Performance Evaluation for Roaming-Based Multi-Operator WCDMA Cellular Networks , 2006, IEEE International Conference on Computer Systems and Applications, 2006..

[12]  Abhay Parekh,et al.  A generalized processor sharing approach to flow control in integrated services networks: the multiple node case , 1994, TNET.

[13]  Alberto Leon-Garcia,et al.  A generalized processor sharing approach to time scheduling in hybrid CDMA/TDMA , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[14]  Songwu Lu,et al.  A Unified Architecture for the Design and Evaluation of Wireless Fair Queueing Algorithms , 2002, Wirel. Networks.