Analysis of handover algorithms (microcellular radio)

Gudmundson, M.

doi:10.1109/vetec.1991.140549

Cited by 157 publications

(48 citation statements)

References 8 publications

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“…The performance evaluation of a hard handoff is based on various initiation criteria [1,3,13]. It is assumed that the signal is averaged over time, so that rapid fluctuations due to the multipath nature of the radio environment can be eliminated.…”

Section: Handoff Initiationmentioning

confidence: 99%

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Handoff in Wireless Mobile Networks

Zeng

Agrawal

2002

Handbook of Wireless Networks and Mobile Computing

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Section: Handoff Initiationmentioning

confidence: 99%

“…In the case of T 3 , the delay may be so long that the MS drifts too far into the new cell. This reduces the quality of the communication link from BS 1 and may result in a dropped call. In addition, this results in additional interference to cochannel users.…”

Section: Relative Signal Strength With Thresholdmentioning

confidence: 99%

Handoff in Wireless Mobile Networks

Zeng

Agrawal

2002

Handbook of Wireless Networks and Mobile Computing

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“…Shadow fades have been described from measurements as being lognormally distributed with a standard deviation that depends on the frequency and the environment [18]. Gudmundson [27] has suggested a simple Markovian model to describe variations in the local mean envelope (or squared envelope) level due to shadow variations. With this model (18) where is the local mean envelope (or square envelope) level (in decibels) that is experienced at location , is a parameter that controls the spatial decorrelation of the shadowing, and is a zero-mean discrete-time Gaussian random process with autocorrelation .…”

Section: A Macrocellsmentioning

confidence: 99%

Subscriber location in CDMA cellular networks

Caffery

Stuber

1998

IEEE Trans. Veh. Technol.

371

193

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Abstract-Subscriber radio location techniques are investigated for code-division multiple-access (CDMA) cellular networks. Two methods are considered for radio location: measured times of arrival (ToA) and angles of arrival (AoA). The ToA measurements are obtained from the code tracking loop in the CDMA receiver, and the AoA measurements at a base station (BS) are assumed to be made with an antenna array. The performance of the two methods is evaluated for both ranging and two-dimensional (2-D) location, while varying the propagation conditions and the number of BS's used for the location estimate.

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“…For a g i v en mobile i and base station j, the minimum power channel k i (j) satis es k i (j) = a r g min k I (k) ij (4) Thus, the base that requires the minimum power is j = arg min…”

Section: Minimum Power Handomentioning

confidence: 99%

Evaluation of a minimum power handoff algorithm

Chuah

Yates

Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications

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Previous work has shown that a hando algorithm based on SIR alone (SIR Based Hando ) prohibits hando s near nominal cell boundaries, causing cell dragging and unnecessarily high transmitter powers. In this paper, we p r o p o s e the Minimum Power Hando (MPH) algorithm in which mobiles constantly search for a combination of base and channel assignment that minimizes the uplink transmitted power. This algorithm is shown to reduce the average power level by 4dB compared to SIR Based Hando . Results show that using received power as a hando criterion reduces call dropping but increases the numb e r o f u n n e c e ssary hando s signi cantly. To a void a \ping pong" e ect, a timer is introduced to delay the intercell hando .

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Analysis of handover algorithms (microcellular radio)

Cited by 157 publications

References 8 publications

Handoff in Wireless Mobile Networks

Handoff in Wireless Mobile Networks

Subscriber location in CDMA cellular networks

Evaluation of a minimum power handoff algorithm

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