A Comparative Capacity/Coverage Analysis for CDMA Cell in Different Propagation Environments

Zreikat, Aymen I.; Al‐Begain, Khalid; Smith, Kevin

doi:10.1023/b:wire.0000032254.68767.db

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…Generally, and adopting the same method in [23], we can write the path loss in any of the above models, or in any similar empirical models, as a function of the distance, d, in the form…”

Section: The Propagation Modelmentioning

confidence: 99%

“…Therefore, an upper limit for the number of admissible connections can be calculated for any cell, while in fact, the actual maximum is reduced due to the limited power available to any user on the uplink. This issue of capacity/coverage interaction was studied for the omnidirectional case [22][23][24]. Upper bounds on capacity due to interference (power/propagation not considered) for switched beam smart antennae (SBSA) were derived in [18].…”

Section: Introductionmentioning

confidence: 99%

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Uplink Capacity/Coverage Analysis of WCDMA with Switched Beam Smart Antennae

Aldmour

Al‐Begain

Zreikat

2007

Wireless Pers Commun

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Capacity and coverage represent, in addition to QoS, the three main requirements for W-CDMA based 3G mobile communication systems. These are conflicting requirements; i.e., optimizing one will be on the account of the other two. All three, however, depend largely on the interference levels in the system. Improvements on interference are thought to have a decisive effect on the performance of the 3G system and one important interference reduction technique is the utilization of smart antennae. In this paper, we analyze capacity/coverage on the uplink in W-CDMA system utilizing switched beam smart antennae, SBSA, using a simple model of the antenna, while satisfying a certain minimum level of QoS. Limits imposed by both interference from others and the limited uplink power available to any user in the cell are considered. Results of this paper are analytical formulae for capacity/coverage that take into consideration many of the important parameters of either the antennae or the WCDMA system. A sectional view of improvement gains, if any, of either capacity or coverage upon antenna upgrading/downgrading is provided. It is shown that improvements by the directional SBSA of either capacity or coverage, are only attained at high interference conditions; i.e., higher number of users when considering coverage improvement or smaller coverage areas when considering capacity. The higher the interference conditions are the higher gain over side lobes or more beams SBSA are needed to attain improvement.

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“…Generally, and adopting the same method in [23], we can write the path loss in any of the above models, or in any similar empirical models, as a function of the distance, d, in the form…”

Section: The Propagation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uplink Capacity/Coverage Analysis of WCDMA with Switched Beam Smart Antennae

Aldmour

Al‐Begain

Zreikat

2007

Wireless Pers Commun

Self Cite

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“…We assume the interference caused by the users in outage (I outage ) adds to the own interference caused by the effective users (I intra ), as it is seen in the formula (2).…”

Section: Capacity Limitationsmentioning

confidence: 99%

“…Analytical approach presented in [1] has been adopted widely and used in many publications, for example in [2] the uplink model that takes into account limited transmission power (TX power) of mobile terminals and power control errors has been profoundly analysed. The general model assumes that every connection has to maintain certain ratio of the received signal to the received interference (measured ratio is called signal to interference ratio, SIR, and the quality target is then SIR target).…”

Section: Introductionmentioning

confidence: 99%

Lost Capacity of the UMTS Radio Access Network

Kordybach

Nousiainen

2006

Wireless Pers Commun

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The theoretical capacity models for the downlink and the uplink of the UMTS radio access network have been researched ever since the UMTS started to be considered. However, they were often based on idealistic assumptions and addressed a static situation. Because of that results were too optimistic. Real networks are not that ideal, as some model suggested. The source of the non-ideality are dynamically changing network properties that are not taken into account in the static models. We explain how those dynamic processes can influence system performance, we define the ineffective load and we update the models to take it into account. The models are supported by simulation results to help comprehend the presented problem. Furthermore, a possible method to estimate such outage in a real network is proposed and ways to minimize the negative impact of the outage discussed.

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“…It also includes adjustments to the basic equation for urban, suburban, dense-urban, and rural propagation losses. The complete derivation of these equations has been done in [8]. Additionally, deterministic models are very accurate.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments

Zreikat¹,

Dordevic²

2017

World Congress on Electrical Engineering and Computer Systems and Science

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-for cell design, path loss is a very important issue and has been studied for a long time. For the new generation of mobile networks, innovative prediction models with extended frequencies are needed. The goal of this paper is to analyze six different path loss prediction models: free space, extended COST-231 Hata, empirical Hata, Walfisch-Ikegami, Stanford University Interim (SUI) and Ericson (9999). The article shows that SUI, Ericsson and Empirical Hata are overall the best choice for the new generation of mobile networks regardless of distance and type of environment. However, SUI outperforms Ericsson and Empirical Hata for 3.5 GHz for both urban and suburban environments. For higher frequencies (28 GHz), which is needed for the new generation of mobile networks like 5G, it is shown that Ericsson model gives better results for path loss in urban compared with SUI which gives better results in suburban environment. This conclusion is confirmed by introducing the average of path loss.

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A Comparative Capacity/Coverage Analysis for CDMA Cell in Different Propagation Environments

Cited by 9 publications

References 27 publications

Uplink Capacity/Coverage Analysis of WCDMA with Switched Beam Smart Antennae

Uplink Capacity/Coverage Analysis of WCDMA with Switched Beam Smart Antennae

Lost Capacity of the UMTS Radio Access Network

Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments

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