On the statistics of uplink inter-cell interference with greedy resource allocation

Tabassum, Hina; Yılmaz, Ferkan; Dawy, Zaher; Alouini, Mohamed‐Slim

doi:10.1109/iswcs.2011.6125447

Cited by 6 publications

(8 citation statements)

References 10 publications

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“…The evaluation of outage probability is skipped due to space limitations, however, the readers can refer to [7] for details.…”

Section: Evaluation Of Network Performance Metricsmentioning

confidence: 99%

“…These users are therefore scheduled based on their relative channel gains which prioritizes close users over the far users and hence causes rapid decay of allocation probability beyond r t . In greedy scheduling [7], the cell center users have higher priority to be allocated over the cell edge users. On the other side, round robin scheduling provides equal probability of allocation to each user, hence high probability of allocation near the cell edge due to the large area and large number of users at the cell-edge.…”

Section: B Evaluation Of Average Fairness and Power Preservationmentioning

confidence: 99%

“…Some interesting analytical models for uplink ICI have been presented in [5], [6]; however, none of them considered the impact of channel based scheduling and power adaptation on the uplink ICI. Recently, in [7], we presented a semi-analytical framework to derive the distribution of uplink ICI on a given subcarrier assuming greedy scheduling without power adaptation. In this paper, we generalize the developed semi-analytical framework to incorporate the impact of power adaptation on the uplink ICI.…”

Section: Introductionmentioning

confidence: 99%

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A Statistical Model for Uplink Intercell Interference with Power Adaptation and Greedy Scheduling

Tabassum

Yılmaz

Dawy

et al. 2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

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Abstract-This paper deals with the statistical modeling of uplink inter-cell interference (ICI) considering greedy scheduling with power adaptation based on channel conditions. The derived model is implicitly generalized for any kind of shadowing and fading environments. More precisely, we develop a generic model for the distribution of ICI based on the locations of the allocated users and their transmit powers. The derived model is utilized to evaluate important network performance metrics such as ergodic capacity, average fairness and average power preservation numerically. Monte-Carlo simulation details are included to support the analysis and show the accuracy of the derived expressions. In parallel to the literature, we show that greedy scheduling with power adaptation reduces the ICI, average power consumption of users, and enhances the average fairness among users, compared to the case without power adaptation.

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“…The evaluation of outage probability is skipped due to space limitations, however, the readers can refer to [7] for details.…”

Section: Evaluation Of Network Performance Metricsmentioning

confidence: 99%

Section: B Evaluation Of Average Fairness and Power Preservationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Statistical Model for Uplink Intercell Interference with Power Adaptation and Greedy Scheduling

Tabassum

Yılmaz

Dawy

et al. 2012

2012 IEEE Vehicular Technology Conference (VTC Fall)

Self Cite

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show abstract

“…In [8], the authors presented a semi-analytical method to approximate the distribution of uplink ICI through numerical simulations without considering the impact of scheduling schemes. In [9], we presented a semianalytical approach to derive the distribution of uplink ICI assuming greedy scheduling in all cells.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we generalize the approach presented in [9] to derive a semi-analytical expression for the uplink ICI on a given subcarrier assuming proportional fair scheduling with a maximum normalized SNR criterion. Proportional fair scheduling is widely used in practice due to its ability to enhance network throughput compared to round robin scheduling while taking into account fairness among users with different locations and channel conditions.…”

Section: Introductionmentioning

confidence: 99%

On the modeling of uplink inter-cell interference based on proportional fair scheduling

Tabassum

Yılmaz

Dawy

et al. 2012

2012 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

Self Cite

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Abstract-We derive a semi-analytical expression for the uplink inter-cell interference (ICI) assuming proportional fair scheduling (with a maximum normalized signal-to-noise ratio (SNR) criterion) deployed in the cellular network. The derived expression can be customized for different models of channel statistics that can capture path loss, shadowing, and fading. Firstly, we derive an expression for the distribution of the locations of the allocated user in a given cell. Then, we derive the distribution and moment generating function of the uplink ICI from one interfering cell. Finally, we determine the moment generating function of the cumulative uplink ICI from all interfering cells. The derived expression is utilized to evaluate important network performance metrics such as outage probability and fairness among users. The accuracy of the derived expressions is verified by comparing the obtained results to Monte Carlo simulations.

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On interference modeling for the analysis of uplink/downlink interactions in TDD-OFDMA networks

El-Hajj

Akl

Hammoud

et al. 2015

2015 International Wireless Communications and Mobile Computing Conference (IWCMC)

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On the statistics of uplink inter-cell interference with greedy resource allocation

Cited by 6 publications

References 10 publications

A Statistical Model for Uplink Intercell Interference with Power Adaptation and Greedy Scheduling

A Statistical Model for Uplink Intercell Interference with Power Adaptation and Greedy Scheduling

On the modeling of uplink inter-cell interference based on proportional fair scheduling

On interference modeling for the analysis of uplink/downlink interactions in TDD-OFDMA networks

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