A comparative performance evaluation of soft handoff between IS-95A and IS-95B/cdma2000

Homnan, B.; Kunsriruksakul, V.; Benjapolakul, Watit

doi:10.1109/apccas.2000.913399

Cited by 14 publications

(6 citation statements)

References 10 publications

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“…• The variable thresholds cdma2000 SHO algorithm described in [14][15][16] with parameters T ADD = -13 dB, T DROP =-15 dB , T TDROP =2 s , T COMP =2.5 dB, ADD_INTERCEPT/2=3 dB, DROP_INTERCEPT/2= 1 dB and SOFT_SLOPE/8 = 2.25 dB.…”

Section: ) Soft Handoff Algorithmsmentioning

confidence: 99%

Forward Link Performance for Packet Data Services of a Microcellular System Based on CDMA2000

Rojas-Lima

Abarca-Reyna

Eara-Rodriguez

2006

2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications

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The performance of the forward link for packet data services of a microcellular system based on the cdma2000 standard is evaluated, using static and dynamic simulations. The ideal Manhattan-like street pattern is used so two cell plans are considered: The full-and half-square cell plans. Static simulations are used to obtain capacity plots in terms of code channels as well as the coverage probability for different data rates and radio configurations (RC). Dynamic simulations are also used to study a more realistic evaluation scenario including user mobility, time correlation of fading and soft handoff (SHO) algorithms.

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Section: ) Soft Handoff Algorithmsmentioning

confidence: 99%

Forward Link Performance for Packet Data Services of a Microcellular System Based on CDMA2000

Rojas-Lima

Abarca-Reyna

Eara-Rodriguez

2006

2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications

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“…Path loss is the deterministic component of RSS, Which can be evaluated by propagation path loss models [6,22]. Shadowing is caused due to the obstruction of the line of sight path between transmitter and receiver by buildings, hills, trees and foliage, where the transmitted signal power is blocked and hence severely attenuated by the obstruction.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Cellular Network Using Adaptive Soft Handover Algorithm

Singh

2010

Wireless Pers Commun

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Mobility management is the most important feature of a wireless cellular communication system. Continuation of an active call is one of the most important quality measurements in the cellular systems. Handover makes it possible for a user to travel between various networks or cells while having a seamless connection. This paper shows that, performance of cellular network can be increased with proposed adaptive soft handoff algorithm, which dynamically calculates the Soft handover margin based on the received signal strength and distance. Performance is evaluated in terms of the performance metrics active set update rate, active set size, soft handover region and probability of outage. Simulation results show that soft handover algorithm gives better performance with adaptive soft handoff margin compared to that of fixed soft handover margin in varied propagation conditions.Keywords CDMA · Soft handover margin · Active set update rate · Mean active set size · Soft handover region · Probability of outage · Shadowing process

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“…The process Z i (t) represents the effect of fast fading on the received pilot signal strength. In cellular CDMA networks, power control algorithms can be used to reduce Z(t) effectively to zero 1 [9]. In practice, the mobile unit samples the pilot signal strengths at discrete time instants t k = kτ s , where τ s is the sampling interval and k ranges from 0 to K = T /τ s .…”

Section: A Received Signal Strengthmentioning

confidence: 99%

Discrete-time analysis of soft handoff in CDMA cellular networks

Leu

Mark

2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333)

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Proper design of soft handoff mechanisms for CDMA cellular networks is critical to overcoming propagation impairments and providing a transparent radio access service for multiple data user profiles. The connectivity of the mobile user to the core network via an active set of access points is determined dynamically by the handoff algorithm via measurements of received pilot signal strengths. Using a discrete-time framework, we derive analytical expressions and develop associated numerical procedures for evaluating the soft handoff performance of a mobile unit travelling along an arbitrary straight-line trajectory in a CDMA cellular network. In particular, we obtain expressions for the cell assignment probabilities, which can be used to compute performance measures such as outage probability, macrodiversity gain, and signaling load. Our methodology provides an accurate and efficient means of designing and dimensioning high performance soft handoff algorithms for CDMA networks, while avoiding the need for approximations or time-consuming computer simulation.

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A comparative performance evaluation of soft handoff between IS-95A and IS-95B/cdma2000

Cited by 14 publications

References 10 publications

Forward Link Performance for Packet Data Services of a Microcellular System Based on CDMA2000

Forward Link Performance for Packet Data Services of a Microcellular System Based on CDMA2000

Performance Enhancement of Cellular Network Using Adaptive Soft Handover Algorithm

Discrete-time analysis of soft handoff in CDMA cellular networks

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