On Uplink Intercell Interference in a Cellular System

Viering, Ingo; Klein, Axel; Ivrlač, Michel T.; Castaneda, Mario; Nossek, Josef A.

doi:10.1109/icc.2006.255079

Cited by 34 publications

(23 citation statements)

References 8 publications

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“…WiMAX PHY profile is provisioned for using Frequency Reuse Factor of one [15]; this results in improved spectral efficacy but result in CCI at cell boundaries. CCI caused by FRF=1 is required to be measured so that some interference averaging/ minimization techniques can be combined to keep the interference level to some acceptable threshold in wireless environment [16].…”

Section: Fig 3 Outer and Inner Permutations In Pusc DL [3]mentioning

confidence: 99%

Optimizing WiMAX: Mitigating Co-Channel Interference for Maximum Spectral Efficiency

Ansari

Memon

Qureshi

2016

Mehran Univ. res. j. eng. technol.

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Section: Fig 3 Outer and Inner Permutations In Pusc DL [3]mentioning

confidence: 99%

Optimizing WiMAX: Mitigating Co-Channel Interference for Maximum Spectral Efficiency

Ansari

Memon

Qureshi

2016

Mehran Univ. res. j. eng. technol.

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“…Uplink and downlink models for single-cell systems cannot be employed in cellular evaluations, since the ICI degrades the performance in a cellular system [1]. Thus, modeling the intercell interference and analyzing its effects is of particular interest in cellular systems [2].…”

Section: Introductionmentioning

confidence: 99%

Outdated Uplink Adaptation Due to Changes in the Scheduling Decisions in Interfering Cells

Castaneda

Ivrlač

Nossek

et al. 2008

2008 IEEE International Conference on Communications

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The major difference between a non-cellular system, i.e. a single isolated cell, and a cellular system is the intercell interference (ICI). In the uplink, the base station can measure the users' signal to noise and interference ratio (SINR) and through a feedforward channel it can inform the users which coding and modulation scheme to apply in order to perform link adaptation (LA). However, a user's SINR observed in the uplink by the base station when determining the link adaptation decision might no longer be the same when the link adaptation is effected by the user due to fluctuations of the intercell interference. By then, the intercell interference could have greatly changed even if the users are static, due to changes in the scheduling decisions in the interfering cells. Hence, the uplink transmission would no longer have the correct link adaptation for the current SINR, since we are to some extent blind with respect to the ICI. In this work, we quantify this degree of ICI blindness by the correlation between the measured ICI and the actual experienced ICI. Furthermore, we analyze the degradation in throughput for different degrees of ICI correlation which depends on the scheduling in the interfering cells. Additionally, we show how much benefit correct link adaptation provides in a cellular environment over outdated link adaptation. In this work, we assume that there is no intracell interference as a consequence of an orthogonal multiple access scheme.

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“…In [7], the authors modeled uplink ICI in an OFDMA network as a function of the reuse partitioning radius and traffic load assuming arbitrary scheduling. 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%

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)

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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 Uplink Intercell Interference in a Cellular System

Cited by 34 publications

References 8 publications

Optimizing WiMAX: Mitigating Co-Channel Interference for Maximum Spectral Efficiency

Optimizing WiMAX: Mitigating Co-Channel Interference for Maximum Spectral Efficiency

Outdated Uplink Adaptation Due to Changes in the Scheduling Decisions in Interfering Cells

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

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