Interference Suppression Strategy for Cell-Edge Users in the Downlink

Ghaffar, Rizwan; Knopp, Raymond

doi:10.1109/twc.2011.111211.101921

Cited by 24 publications

(10 citation statements)

References 29 publications

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“…In [5], FFR with sectorization and coordinated fair scheduling scheme is used to improve the cell edge users and to maintain fairness in resource allocation among users. Rizwan Ghaffar et al, [6], have investigated the downlink performance of cell-edge users by using propose interference suppression strategy and FFR scheme of 1.5 for edge users. In [7], a comparison is made between distributed and traditional centralized cellular system and cell-edge effects of both the systems is evaluated by considering both with or without ICI.…”

Section: Homogeneous Cellular Networkmentioning

confidence: 99%

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Borah¹,

Bora²

2017

IJAST

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Section: Homogeneous Cellular Networkmentioning

confidence: 99%

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Borah¹,

Bora²

2017

IJAST

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“…In Abiri and Mehrjoo, fractional FR (FFR) with sectorization and coordinated fair scheduling scheme is used to improve the cell‐edge user performance and to maintain fairness in resource allocation among users. The authors proposed an interference suppression strategy and FFR scheme of 1.5 for edge users and investigated the cell‐edge user's downlink performance . The effect of ICI on cell‐edge users is shown for both traditional centralized and distributed cellular systems …”

Section: Introductionmentioning

confidence: 99%

Effect of intercell interference on cell boundary users in three‐cell and seven‐cell HetCN

Borah

Hussain

Bora

2019

Int J Communication

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Summary Indoor and cell‐edge coverage has been a major issue of concern for predeployed traditional macrocell (MC)–based homogeneous cellular network. Moreover, with the extensive increase of mobile users and developments of smart and highly specified devices, user demands and activities have led to huge cellular traffic. The key solutions to these that include network upgradation, overlaying of small cells (SCs), and scaling of resources have turned out to be the major causes for intercell interference (ICI) and energy‐efficiency degradation in heterogeneous cellular networks (HetCNs). In this paper, authors have tried to analyze the downlink performance metrics of cell boundary users with MCs overlaying SCs for three‐cell circular and seven‐cell sectorized networks through frequency reuse (FR) schemes. This paper also discusses the impact of ICI being encountered by users and the effect of SCs on the energy efficiency of the network. The locations for SCs are perceived where user density is large and demands high data rate such as at hot‐spot (HS) areas, railway stations, shopping malls, working farms, and organization. The performance metrics sum rate, average user throughput, and energy efficiency are compared by employing FR‐1 (full spectrum) and FR‐3 (three subbands) among MCs and deployed SCs. For both scenarios, simulation results and analyses depict that without SCs, utilization of FR‐1 results in performance degradation due to ICI effects. However, the downlink performance of cell boundary user and energy efficiency of the network could be enhanced by overlaying SCs near cell boundaries of preexisting MCs along with the allocation of FR‐1.

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“…In literature, it is well demonstrated that the recent works in cellular network are mostly associated with cell‐edge problem, throughput and capacity enhancement, mitigation of inter‐cell interference, optimal and efficient allocation of existing spectrum, and most importantly small cell deployment in existing network. In Khan et al, Abiri and Mehrjoo, Ghaffar and Knopp, and You et al, the cell‐edge problem has been addressed and edge user's performance has been compared by considering various frequency reuse schemes and techniques. In Babaei and Jabbari, an arbitrary point is taken, and its distances from neighboring points are analyzed using a spatial bivariate Poisson Point Process (PPP).…”

Section: Introductionmentioning

confidence: 99%

Small‐cell intensities for cellular network affected by cell‐edge and hotspot

Borah

Bora

2018

Int J Communication

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At present, every network operator is looking for a cost-effective and spectrally efficient solution not only for better coverage but also to offer higher data rates. Stochastic-based heterogeneous cellular networks have taken over the thoroughly planned traditional hexagonal grid networks. Heterogeneous networks typically include multiple tiers of base stations and small cells. This paper presents an analysis of a cellular network with cell-edge, uncovered, and hotspot (HS) users based on spatial bivariate Poisson Point Process. The work compares the relationship between small cell intensity for cell-edge and HS user's intensity within macrocell area. The variations in small cell intensity for uncovered and HS users outside macrocells are also presented. The simulation results depict higher small cell intensity in cell-edge areas as compared with HS areas within the macrocells, while for outside of macrocells, small cell intensity in HS areas is much higher than that for uncovered areas. The expected numbers of small cell inside and outside macrocells are obtained along with the total new cells required for the proposed model.

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Interference Suppression Strategy for Cell-Edge Users in the Downlink

Cited by 24 publications

References 29 publications

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Traditional Macro-tower to Heterogeneous Cellular Networks: A Survey

Effect of intercell interference on cell boundary users in three‐cell and seven‐cell HetCN

Small‐cell intensities for cellular network affected by cell‐edge and hotspot

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