GPS based predictive resource allocation in cellular networks

Traditionally in cellular networks, mobile terminals operate via their base stations. However, due to bandwidth and resource constraints, there is an upper bound on the number of mobile terminals that can be handled by a given base station, which may lead to rejection of an incoming request. The call dropping rate can be minimized by allocating resources in neighboring cells based on the location of the mobile devices. Here we propose that GPS receivers be interfaced with the mobile terminals to provide the location information. A new architecture has been proposed, in which the cell assignment is handled dynamically through estimation of the location of mobile terminals by a resource allocation center. The proposed predictive mobility algorithm was simulated and the results are presented. The simulation results show that the GPS based prediction is able to reduce the hand-off call dropping by as much as 38% for heavy traffic conditions.

[1]  Tong Liu,et al.  Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks , 1998, IEEE J. Sel. Areas Commun..

[2]  Nasser M. Nasrabadi,et al.  Cellular radio channel assignment using a modified Hopfield network , 1997 .

[3]  Zygmunt J. Haas,et al.  Predictive distance-based mobility management for PCS networks , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[4]  Janise McNair,et al.  Mobility management in current and future communications networks , 1998, IEEE Netw..

[5]  Sung-Ju Lee,et al.  Mobility prediction and routing in ad hoc wireless networks , 2001, Int. J. Netw. Manag..

[6]  Ian F. Akyildiz,et al.  Mobility Management in Next Generation Wireless Systems , 1999, ICCCN.

[7]  Mario Gerla,et al.  Bandwidth allocation strategies for wireless ATM networks using predictive reservation , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[8]  Taieb Znati,et al.  Predictive mobility support for QoS provisioning in mobile wireless environments , 2001, IEEE J. Sel. Areas Commun..

[9]  Tong Liu,et al.  Location management for efficient bandwidth allocation and call admission control , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[10]  Christian S. Jensen,et al.  Indexing the positions of continuously moving objects , 2000, SIGMOD '00.

[11]  Ian F. Akyildiz,et al.  The shadow cluster concept for resource allocation and call admission in ATM-based wireless networks , 1995, MobiCom '95.

[12]  Christian S. Jensen,et al.  Indexing the Positions of Continuously Moving Objects , 2000, SIGMOD Conference.