Fade margins for soft and hard handoffs

Rege, Kiran M.; Nanda, Sanjiv; Weaver, Carl; Peng, W.-C.

doi:10.1007/bf01262047

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…In [14], approximations for the outage probabilities of both hard and soft handoff algorithms are derived through fade margins and the reverse link capacity is investigated through relative interference. In [15], [16], approximations for the outage probability and fade margins are derived based on a model for hard handoff with hysteresis in a two-cell system. The studies of outage behavior in [14]- [16] consider the outage probability only at the stationary midpoint of the canonical straight-line trajectory, which corresponds to a point on an imaginary ideal cell boundary.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Handoff Interference and Outage along Arbitrary Trajectories in Cellular Networks

Leu

Mark

Tang

2008

IEEE Trans. Wireless Commun.

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Abstract-We introduce a new system performance measure due to handoff called handoff interference, which characterizes the additional interference noise induced by the handoff process. The handoff interference experienced by a mobile unit is determined by the parameters of the handoff algorithm. We present an exact analysis of the handoff interference and the outage probability and develop a discrete-time method to efficiently and accurately compute these performance metrics along arbitrary trajectories in a cellular network. Our numerical results reveal critical tradeoffs among the critical handoff performance metrics, which should be taken into account in dimensioning the handoff parameters to optimize system performance. We discuss an example handoff design problem, which illustrates how to dimension the handoff parameters to optimize this tradeoff using the proposed handoff analysis.

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Section: Introductionmentioning

confidence: 99%

Analysis of Handoff Interference and Outage along Arbitrary Trajectories in Cellular Networks

Leu

Mark

Tang

2008

IEEE Trans. Wireless Commun.

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“…An analytical model for signal strength measurements is described in [9]. Here, we utilize that model but assume that the fast fading factor has been removed through averaging.…”

Section: Ta Beltmentioning

confidence: 99%

“…We use the analytical model in [9] that incorporates distance loss and shadow fading to model the RF environment. The three parameter model only needs to be tuned to particular RF environments by use of a small number of sample RF measurements.…”

Section: Bayesian Estimationmentioning

confidence: 99%

A Bayesian method to improve mobile geolocation accuracy

Budka¹,

Calin²,

Chen³

et al.

Proceedings IEEE 56th Vehicular Technology Conference

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We present a geolocation method for GSM/CDMA/UMTS networks. A cell area is partitioned into a grid, and a sequential Bayesian updating scheme is proposed to identify the grid point within the circular belt, defined by the one-way delay between the mobile and the base station, that is the most likely position of the user. Using GSM as case study, we employ an RF simulation model to study the accuracy of the algorithm compared to existing methods. We show that the accuracy of the Bayesian update method is relatively insensitive to cell size and robust to parameter settings.

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Fading Margin Analysis for Asynchronous CDMA Systems

Bhaskar

2005

Int J Wireless Inf Networks

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In this paper, a detailed theoretical analysis of fading margin in an asynchronous code division multiple access (A-CDMA) system is discussed. Rayleigh and Rician frequency-selective slowly fading channels are considered. Probability distribution and density functions of the probability of error are derived for Rayleigh and Rician fading channels. The fluctuations in the channel capacity are proved to be directly proportional to the signal-to-noise ratio (SNR) variations. Fading margin is calculated for both Rayleigh and Rician fading channels as a function of the probability of error specification and the probability of unsatisfactory operation.

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Fade margins for soft and hard handoffs

Cited by 10 publications

References 5 publications

Analysis of Handoff Interference and Outage along Arbitrary Trajectories in Cellular Networks

Analysis of Handoff Interference and Outage along Arbitrary Trajectories in Cellular Networks

A Bayesian method to improve mobile geolocation accuracy

Fading Margin Analysis for Asynchronous CDMA Systems

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