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This paper deals with handover measurement in mobile cellular networks. The work is dedicated to network modeling and performance evaluation. The exposition focuses on neighbor cell scanning and addresses its key probabilistic events: (i) suitable handover target found, (ii) service failure, and (iii) scan withdrawal under the interference-limited condition in a multicell system. We derive their expressions and provide a generalized framework for the analysis of handover measurement failure and target cell quality by the best signal quality and minimum duration outage. Results applied to LTE have also shown its effectiveness.

The quickly increasing data traffic and the user demand for a full coverage of mobile services anywhere and anytime are leading mobile networking into a future of small cell networks. However, due to the high-density and randomness of small cell networks, there are several technical challenges. In this paper, we investigate two critical issues: best signal quality and mobility management. Under the assumptions that base stations are uniformly distributed in a ring shaped region and that shadowings are lognormal, independent and identically distributed, we prove that when the number of sites in the ring tends to infinity, then (i) the maximum signal strength received at the center of the ring tends in distribution to a Gumbel distribution when properly renormalized, and (ii) it is asymptotically independent of the interference. Using these properties, we derive the distribution of the best signal quality. Furthermore, an optimized random cell scanning scheme is proposed, based on the evaluation of the optimal number of sites to be scanned for maximizing the user data throughput.Index Terms-Small cell networks, maximum SINR, handover, random cell scanning, extreme value theory.

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Handover measurement is responsible for finding a handover target and directly decides the performance of mobility management. It is governed by a complex combination of parameters dealing with multi-cell scenarios and system dynamics. A network design has to offer an appropriate handover measurement procedure in such a multi-constraint problem. The present paper proposes a unified framework for the network analysis and optimization. The exposition focuses on the stochastic modeling and addresses its key probabilistic events namely (i) suitable handover target found, (ii) service failure, (iii) handover measurement triggering, and (iv) handover measurement withdrawal. We derive their closed-form expressions and provide a generalized setup for the analysis of handover measurement failure and target cell quality by the best signal quality and \st{minimum duration outage} \textit{level crossing properties}. Finally, we show its application and effectiveness in today's 3GPP-LTE cellular networks.Comment: Published in IEEE/ACM Transaction on Networking, vol.22, no.5, pp.1559,1576, Oct. 201