Uplink Co-Channel Interference Analysis and Cancellation in Femtocell Based Distributed Antenna System

Alade, Temitope; Zhu, Huiling; Wang, J.

doi:10.1109/icc.2010.5501848

Cited by 15 publications

(7 citation statements)

References 20 publications

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“…As was mentioned earlier, the power of the root in the algorithmic computations can be set to be zero, with the target powers shifted accordingly. For each of the four possible values of inner node degree in range [2,5] For the two objectives min-max and min-sum, the latter requires higher computing effort; this is consistent with the difference in the time for running OptLabel (k 2.5 log k versus k 3 , see Section 6). Setting σ = 2, the number of labels to be treated is reduced by at least half.…”

Section: Numerical Illustrationsupporting

confidence: 56%

“…In [1], the authors study spectral efficiency in respect to the number of antennas, subject to interference between antenna elements at different floors. For a similar setting, joint signal processing with interference cancellation is investigated in [2]. A mathematical channel model for indoor propagation of high building is proposed in [19,20].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The maximum out-degree k = 5. The number of children of each inner node follows a uniform and random distribution within [2,5]. Following the description of P-DAS in [9,15], the root power is set to 50 dBm, and the antenna target power is an integer in range [0, 10] dBm.…”

Section: Numerical Illustrationmentioning

confidence: 99%

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Exact and Approximation Algorithms for Optimal Equipment Selection in Deploying In-Building Distributed Antenna Systems

Adjiashvili

Bosio

et al. 2015

IEEE Trans. on Mobile Comput.

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We consider a combinatorial optimization problem in passive In-Building Distributed Antenna Systems (IB-DAS) deployment for indoor mobile broadband service. These systems have a tree topology, in which a central base station is connected to a number of antennas located at tree leaves via cables represented by the tree edges. Each inner node corresponds to a power equipment, of which the available types differ in the number of output ports and/or by power gain at the ports. This paper focuses on the equipment selection problem that amounts to, for a given passive DAS tree topology, selecting a power equipment type for each inner node and assigning the outgoing edges of the node to the equipment ports. The performance metric is the power deviation at the antennas from the target values. We consider as objective function the minimization of either the total or the largest power deviation over all antennas. Our contributions are the development of exact pseudo-polynomial time algorithms and (additive) fully-polynomial 1 time approximation schemes for both objectives. Numerical results are provided to illustrate the algorithms. We also extend some results to account for equipment cost.

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Section: Numerical Illustrationsupporting

confidence: 56%

Section: Literature Reviewmentioning

confidence: 99%

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Exact and Approximation Algorithms for Optimal Equipment Selection in Deploying In-Building Distributed Antenna Systems

Adjiashvili

Bosio

et al. 2015

IEEE Trans. on Mobile Comput.

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“…Authors in [14] proposed to deploy a Distributed Antenna System (DAS) connected to several FBSs in a multi-floors building to mitigate interference. Each FBS is further connected to a Central Units (CU) that performs the mitigation process upon decoding interfering signals.…”

Section: A Power Management Schemesmentioning

confidence: 99%

Review on Femto-cell Networks Interference Management Techniques

Mohamed¹,

Alias²,

Roslee³

2018

IJET

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Future cellular communication will relentlessly and incessantly hinge upon heterogeneous network due to its' capabilities in maintaining lofty capacity figures. It also strengthens the voice quality, accelerate data transmission, and optimize the users' battery consumption. However, its performance is often debatable due to the interference that may accompany its service. This paper focuses on studying the interference that affixes Femto-cells as an entity of heterogeneous networks due to its appealing functionalities and performance qualities. Moreover, the paper categorizes the types of interference based on the network platform and its source, discusses different contributions related to the topic based on schemes' efficiencies and complexity levels, and presents the most decent and stable scheme from the authors' prospective of view.

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“…Also, in [111], E-plane horns based reconfigurable directional antenna is used to reduce the two-tier interference and enhance the femtocell capacity. Further, in [112], femtocell based distributed antenna system (DAS) is proposed to reduce the co-channel interference introduced by frequency reuse among the femtocells, thus maintaining high spectral efficiency. To leverage the advantage of both femtocell and DAS, remote antenna units are deployed on each floor of the building such that they are connected to FAPs.…”

Section: B Smart Antenna System For Femtocellmentioning

confidence: 99%

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

Kayastha

Niyato

2017

ECTI-CIT

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A new and emerging technology called femtocell brings significant improvement in terms of better indoor coverage and higher data rate. Able to be installed and maintained by individual user, femtocell provides a cost effective solution to mobile operators to achieve higher network capacity. However, interference due to two-tier network structure introduces many challenges for successful femtocell deployment. In this article, we summarize various interference and resource management techniques proposed in the context of femtocell. Specifically, we focus on interference avoidance techniques. First, the overview of femtocells, its architecture, and common issues are presented. Next, various interference avoidance techniques are reviewed. At the end, several important research directions are outlined.

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Uplink Co-Channel Interference Analysis and Cancellation in Femtocell Based Distributed Antenna System

Cited by 15 publications

References 20 publications

Exact and Approximation Algorithms for Optimal Equipment Selection in Deploying In-Building Distributed Antenna Systems

Exact and Approximation Algorithms for Optimal Equipment Selection in Deploying In-Building Distributed Antenna Systems

Review on Femto-cell Networks Interference Management Techniques

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

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