Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Predictive distance-based mobility management for multidimensional PCS networks
IEEE/ACM Transactions on Networking (TON)
An Adaptive Scheme for Vertical Handoff in Wireless Overlay Networks
ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
Performance Analysis and Optimization of Handoff Algorithms in Heterogeneous Wireless Networks
IEEE Transactions on Mobile Computing
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
IEEE Transactions on Signal Processing
Vertical handoffs in fourth-generation multinetwork environments
IEEE Wireless Communications
Movement-Aware Vertical Handoff of WLAN and Mobile WiMAX for Seamless Ubiquitous Access
IEEE Transactions on Consumer Electronics
Hotspot wireless LANs to enhance the performance of 3G and beyond cellular networks
IEEE Communications Magazine
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The 4th generation wireless communication systems aim to provide users with the convenience of seamless roaming among heterogeneous wireless access networks. To achieve this goal, the support of vertical handoff is important in mobility management. This paper focuses on the vertical handoff decision algorithm, which determines the criteria under which vertical handoff should be performed. The problem is formulated as a constrained Markov decision process. The objective is to maximize the expected total reward of a connection subject to the expected total access cost constraint. In our model, a benefit function is used to assess the quality of the connection, and a penalty function is used to model the signaling incurred and call dropping. The user's velocity and location information are also considered when making handoff decisions. The policy iteration and Q-learning algorithms are employed to determine the optimal policy. Structural results on the optimal vertical handoff policy are derived by using the concept of supermodularity. We show that the optimal policy is a threshold policy in bandwidth, delay, and velocity. Numerical results show that our proposed vertical handoff decision algorithm outperforms other decision schemes in a wide range of conditions such as variations on connection duration, user's velocity, user's budget, traffic type, signaling cost, and monetary access cost.