Velocity adaptive handoff algorithms for microcellular systems

Austin, M.D.; Stuber, G.L.

doi:10.1109/25.312791

Cited by 221 publications

(35 citation statements)

References 17 publications

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“…However, a better resolution of the velocity is not achievable. In [2], the level crossing rate (LCR)-based velocity estimator is proposed. However, in the presence of additive white Gaussian noise (AWGN), this estimator suffers from severe estimation error when the 1 Velocity is a vector with both magnitude and direction.…”

Section: Introductionmentioning

confidence: 99%

VEPSD: a novel velocity estimation algorithm for next-generation wireless systems

Mohanty

2005

IEEE Trans. Wireless Commun.

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Abstract-A novel algorithm called velocity estimation using the power spectral density (VEPSD), which uses the Doppler spread in the received signal envelope to estimate the velocity of a mobile user (MU), is introduced in this paper. The Doppler spread is estimated using the slope of the power spectral density (PSD) of the received signal envelope. The performance of the VEPSD algorithm is evaluated in both Rayleigh and Rician fading environments. The sensitivity of the estimation error to additive white Gaussian noise (AWGN), Rice factor (K), and the angle of arrival of the line-of-sight (LOS) component is analyzed and compared with the level crossing rate (LCR) and covariance-based velocity estimators. Simulation results show that VEPSD estimates the velocity of MUs accurately. It is also shown that VEPSD can be used for velocity estimation under nonisotropic scattering and is well suited for next-generation wireless systems (NGWSs).Index Terms-Doppler spread, fading environments, nextgeneration wireless systems (NGWSs), power spectral density, velocity estimation.

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Section: Introductionmentioning

confidence: 99%

VEPSD: a novel velocity estimation algorithm for next-generation wireless systems

Mohanty

2005

IEEE Trans. Wireless Commun.

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“…It can be acquired from the received SINR [7]. To make the simulation simple, the Th drop is set as a constant value 2dB.…”

Section: Velocity-adaptive Handover Schemementioning

confidence: 99%

A Velocity-Adaptive Handover Scheme for Mobile WiMAX

Hao¹,

Liu²,

Zhan³

2009

IJCNS

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Mobile WiMAX is a wireless networking system based on the IEEE 802.16e standard. In order to support mobile, some kinds of handover schemes must be adopted, and the hard handover is defined as mandatory. Since the data transmission should be paused during the hard handover process, it causes handover delay in mobile communication. The handover delay makes severe degradation in system performance when implemented in real-time applications such as IPTV and VoIP. The existing draft standard considers only the received signal strength when deciding handover initiation. However, the velocity factor also has an important influence on handover initiation and can not be neglected. To deal with these problems, this article proposes a velocity-adaptive handover scheme. This scheme adopts dynamic handover threshold according to different velocity to skip some unnecessary handover stages, reduces handover delay and enhances the network resource utilization. The simulation result and performance analysis validate the efficiency of the proposed scheme.

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“…Effects of delaying handoff are increased interference, lower grade of service, i.e., call blocking and dropping rates. There are studies that have optimized signal-strength based handoff algorithms by minimizing two conflicting design criteria, the handoff delay and the mean number of handoffs between access points [2,7]. In the design of handoff algorithms, there is an inherent trade off in timeliness and accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…Many handoff algorithms proposed in the literature are classified according to the metrics used to decide whether a handoff is necessary or not, where these metrics are monitored, and how these metrics are processed. Some of the metrics proposed are; signal strength [1], distance [2], signal to noise ratio [3], bit error rate [4], traffic load [5], word error indicator [6], quality indicator [6], and some combination of these [6,7]. Metrics can be measured and processed on the network entity or on the mobile.…”

Section: Introductionmentioning

confidence: 99%

“…Velocity adaptive handoff algorithms consider mobiles with different velocities, i.e., the handoff needs of fast moving mobiles should be determined immediately. This can be achieved by adjusting the effective length of the averaging window in which received signal strengths from the access point are averaged [7]. In direction biased algorithms handoffs to the access points towards which the mobile is moving are encouraged, while handoffs to the access points from which the mobile is receding are discouraged [8].…”

Section: Introductionmentioning

confidence: 99%

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