Handover criterion for macro and microcellular systems

Murase, A.; Symington, I.C.; Green, E.

doi:10.1109/vetec.1991.140547

Cited by 77 publications

(15 citation statements)

References 5 publications

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“…General aspects of hard HO are discussed in [17,18,19] for different relative signal-based algorithms. Most of these papers have considered individual or combined effects of measurement interval, measurement averaging, hysteresis, and HO threshold levels.…”

Section: Optimization Through Parametersmentioning

confidence: 99%

Autonomous neighbor relation detection and handover optimization in LTE

Aziz

Ambrosy

Ho³

et al. 2010

Bell Labs Tech. J.

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Section: Optimization Through Parametersmentioning

confidence: 99%

Autonomous neighbor relation detection and handover optimization in LTE

Aziz

Ambrosy

Ho³

et al. 2010

Bell Labs Tech. J.

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“…We assume that the small-scale and long-term processes are independent [47]. Once the window size is fixed, we can average the standard deviation of the field strength in dBV/m along the route varying the center of the window for a given route.…”

Section: Separation Of Fast Fading and Shadowingmentioning

confidence: 99%

“…Once the window size is fixed, we can average the standard deviation of the field strength in dBV/m along the route varying the center of the window for a given route. Thus, the averaged standard deviation in logarithmic units of the composite processes (short-term fading and shadowing) along a window of size ∆d can be easily calculated following a procedure similar to [47] as…”

Section: Separation Of Fast Fading and Shadowingmentioning

confidence: 99%

Estimation of the Composite Fast Fading and Shadowing Distribution Using the Log-Moments in Wireless Communications

Reig

Rubio

2013

IEEE Trans. Wireless Commun.

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Abstract-In this work, we propose a framework to obtain estimators from a variety of distributions used in composite fast fading and shadowing modeling with applications in wireless communications: the Suzuki (Rayleigh-lognormal), Nakagamilognormal, K (Rayleigh-gamma), generalized-K (Nakagamigamma) and α-µ (generalized gamma) distributions. These estimators are derived from the method of moments of these distributions in logarithmic units, usually known as log-moments. The goodness-of-fit of these estimators to experimental distributions has been checked from a measurement campaign carried out in an urban environment. Moreover a new method to separate fast fading and shadowing based on the Rathgeber procedure is proposed. The results conclude that the best-fitting distribution to the measurements is the Nakagami-lognormal. Also, the α-µ distribution provides an acceptable matching with the advantage of its simplicity.

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“…Handoff schemes have been thoroughly researched and deployed in cellular systems [22], also known as WWANs, and are escalating in importance in other networks, such as WLANs, as research in 4G wireless communications increases in popularity. Handoffs can be classified as either horizontal or vertical.…”

Section: Handoffs In Heterogeneous Networkmentioning

confidence: 99%

Heterogeneous Wireless Networks: Configuration and Vertical Handoff Management

Smaoui

Zarai

Banat

et al. 2009

Wireless Pers Commun

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Vertical handoff is one of the most important issues for the next generation heterogeneous wireless networks. However, in many situations, unbeneficial vertical handoffs occur across intersystem heterogeneous networks cause network performance degradation. Therefore, we propose a novel configuration architecture that can be deployed in the next generation of wireless networks. Second, we propose a predictive and adaptive Vertical Handoff Decision Scheme that optimizes the handoff initiation time as well as selection of the most optimal network. The proposed vertical handoff decision algorithm considers the technology type as well as the Signal to Interference Ratio (SIR), the Mobile Station (MS) velocity, the user preferences, the applications requirements and the terminal capabilities as the most important factors to make vertical handoff decision. In order to minimize handoff costs, the proposed decision algorithm uses the dwell timer concept. The handoff costs are analyzed in terms of unnecessary and unbeneficial handoffs rate.The simulation results show that the reduction of unnecessary handoffs proposed in our vertical handoff decision scheme reduces the handoff blocking probability, the packets loss rate and the handoff overhead

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Handover criterion for macro and microcellular systems

Cited by 77 publications

References 5 publications

Autonomous neighbor relation detection and handover optimization in LTE

Autonomous neighbor relation detection and handover optimization in LTE

Estimation of the Composite Fast Fading and Shadowing Distribution Using the Log-Moments in Wireless Communications

Heterogeneous Wireless Networks: Configuration and Vertical Handoff Management

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