Cross-Layer-Based Adaptive Vertical Handoff With Predictive RSS in Heterogeneous Wireless Networks

A heterogeneous wireless network consists of various wireless networks [e.g., Worldwide Interoperability for Microwave Access (WiMAX) and Wireless Fidelity (WiFi)] and cellular communications [e.g., beyond the third generation (B3G) and the fourth generation (4G)]. Vertical handoff is an important mechanism for achieving continuous seamless transmissions in these networks. In contrast to horizontal handoff, vertical handoff considers not only the received signal strength (RSS) but also the service-class mapping between handoff-in and handoff-out networks. Most previous works have adopted the RSS-based mechanism to determine handoff thresholds, which causes a serious ping-pong effect that increases unnecessary handoff. Although integrating the RSS-based mechanism with a hysteresis method reduces the unnecessary handoff, it suffers from high dropping [i.e., high Sum of Weighted Grade of Service (SWGoS)] and low utilization. Therefore, this paper proposes a cross-layer-based adaptive vertical handoff algorithm with predictive RSS to reduce the unnecessary handoff while significantly increasing utilization and decreasing connection dropping. The proposed approach determines the optimal target network in two phases, i.e., polynomial regression RSS prediction and Markov decision process analysis. Furthermore, fast changes in bandwidth caused by vertical handoff result in inaccurate Transmission Control Protocol (TCP) congestion control and, thus, reduce the TCP goodput. The cross-layer scheme provides a TCP receiver to reply to the TCP sender with the wireless network's protocol type. By using the cross-layer information, the TCP sender can accurately predict the available bandwidth and increase the network goodput. Numerical results indicate that the proposed cross-layer-based approach outperforms the other approaches in the number of vertical handoffs and SWGoS while yielding competitive utilization. In addition, the cross-layer scheme cooperates with existing TCP algorithms to increase goodput by up to 18%.

[1]  Janise McNair,et al.  Vertical handoffs in fourth-generation multinetwork environments , 2004, IEEE Wireless Communications.

[2]  Selma Boumerdassi,et al.  Adaptive channel allocation for wireless PCN , 1999, Mob. Networks Appl..

[3]  Ben-Jye Chang,et al.  Mobile IPv6-based efficient vertical handoff approach for heterogeneous wireless networks , 2006, Wirel. Commun. Mob. Comput..

[4]  J. Holtzman,et al.  Analysis of handoff algorithms using both absolute and relative measurements , 1996 .

[5]  Antti Toskala,et al.  WCDMA for UMTS: Radio Access for Third Generation Mobile Communications , 2000 .

[6]  G. P. Pollini,et al.  Trends in handover design , 1996, IEEE Commun. Mag..

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

[8]  K.R. Santhi,et al.  Goals of true broad band's wireless next wave (4G-5G) , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[9]  R. Bellman,et al.  Dynamic Programming and Markov Processes , 1960 .

[10]  Charles E. Perkins,et al.  Mobility support in IPv6 , 1996, MobiCom '96.

[11]  Steven C. Chapra,et al.  Numerical Methods for Engineers , 1986 .

[12]  Antti Toskala,et al.  HSDPA/HSUPA for UMTS: High Speed Radio Access for Mobile Communications , 2006 .

[13]  Helen J. Wang,et al.  Policy-enabled handoffs across heterogeneous wireless networks , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[14]  Yanghee Choi,et al.  Fast-handoff support in IEEE 802.11 wireless networks , 2007, IEEE Communications Surveys & Tutorials.

[15]  Keith W. Ross,et al.  Reduced load approximations for multirate loss networks , 1993, IEEE Trans. Commun..

[16]  Kaveh Pahlavan,et al.  Handoff in hybrid mobile data networks , 2000, IEEE Wirel. Commun..

[17]  Ben-Jye Chang,et al.  Multicode-based WCDMA for reducing waste rate and reassignments in mobile cellular communications , 2006, Comput. Commun..

[18]  Saswat Chakrabarti,et al.  Performance evaluation of handoff detection schemes , 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

[19]  Mei-Li You,et al.  The study of regression based on grey system theory , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[20]  Ren-Hung Hwang Routing in high-speed networks , 1993 .

[21]  Qian Zhang,et al.  Efficient mobility management for vertical handoff between WWAN and WLAN , 2003, IEEE Commun. Mag..

[22]  Janise McNair,et al.  Optimizations for vertical handoff decision algorithms , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[23]  Jim Kurose,et al.  State dependent routing for multirate loss networks , 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

[24]  Chen He,et al.  Performance analysis of vertical handover in a UMTS-WLAN integrated network , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[25]  Qian Zhang,et al.  A seamless and proactive end-to-end mobility solution for roaming across heterogeneous wireless networks , 2004, IEEE Journal on Selected Areas in Communications.