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With the necessary information, an MN may discover available neighboring networks and communicate with elements within these networks a priori to optimize handover.
The data provided in this article will help radio network engineers to: predict signal path loss; estimate radio coverage; efficiently reuse limited frequencies; avoid interferences; optimize handover; and adjust transmitted power level.
To optimize handover in heterogeneous environments, the IEEE 802.21 proposes an intelligent and generic interface that operate between the data link (L2) and Network layers of the protocol stack.
Previously proposed handover solutions, either host-based or network-based, that enhance mobility management protocols introduce new functional elements either at the source access or target access or both source and target accesses to optimize handover performance in terms of handover delay and packet losses.
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We introduce a new mixed integer linear optimization problem that allows to optimize handovers but takes into account the costs of handovers such as signaling and communication interruption.
Initially, this standard was designed to optimize handovers in heterogeneous networks.
In this paper, we focus on optimizing handover decisions in heterogeneous environments, where the user has a choice among different mobile networks and access points.
Compared to end host mobility and multihoming with HIP, existing HIP-based micro-mobility solutions have optimized handover performance by reducing location update delay.
The IEEE 802.21 standard aims at optimizing handovers among heterogeneous wireless networks.
For instance, Chang et al. [4] proposed a self-optimization handover mechanism that uses the global positioning system (GPS) navigation system in order to reduce the number of possible handover and optimize the channel scanning procedure.
Most of these studies optimize the handover parameters, such as hysteresis and TTT, based on self-optimization techniques.
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