# HETEROGENEOUS CELLULAR NETWORKS THEORY SIMULATION AND DEPLOYMENT PDF

Request PDF on ResearchGate | Heterogeneous Cellular Networks Theory, Simulation and Deployment | This detailed, up-to-date introduction to. Heterogeneous Cellular Networks. Theory, Simulation and Deployment .. 5 - Interference modeling and spectrum allocation in two-tier networks. pp Heterogeneous Cellular Networks. Theory, Simulation and Deployment. Edited by. XIAOLI CHU. University of Sheffield. DAVID L ´OPEZ-P ´EREZ. Bell Labs.

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Heterogeneous Cellular Networks. Theory, Simulation and Deployment. Edited by. XIAOLI CHU. University of Sheffield. DAVID LOPEZ-PEREZ. Bell Labs. Heterogeneous Cellular Networks: Theory, Simulation and Deployment, Cambridge . [pdf]; D. López-Pérez, bernasungueta.tk, and I. Guvenc, "On the Expanded Region of. 13 in Heterogeneous cellular networks: Theory, simulation and deployment, PDF. Open DOI. DOI. [J.3]. Real-time emulation of heterogeneous wireless.

Therefore, in our study, we investigate the internal links between coverage performance and small cell density and expand this problem to the scenario of multi-tier heterogeneous networks.

On the other hand, much research pays attention to energy efficiency in such dense small cell networks. A novel approach for joint power control and user scheduling is proposed in [ 20 ] for optimizing energy efficiency in terms of bits per unit energy consumption in the ultra-dense small cell networks UDNs. In [ 21 ], the authors assume that all BSs in a small cell network form a homogeneous Poisson point process and propose all-on and on-off power control schemes PCS to obtain the average achievable cell rates for a given small cell density.

The authors in [ 22 ] determined the associated tradeoffs of energy efficient cellular networks through the deployment of small cells. The success probability and energy efficiency in homogeneous macrocell single-tier and heterogeneous networks two-tier are both derived in [ 22 ], which confirms that the deployment of small cells leads to high energy efficiency, but this gain saturates as the density of small cells increases [ 23 ].

All those previous works on the system performance in a heterogeneous small cell network, in other words, how to characterize the coverage performance and energy efficiency and investigate the inherent relationship between them and the small cells deployment density, are still fairly minimal.

In particular, all those previous works focus on addressing the small cell deployment problem for the two-tier HetNets which are formed of traditional macrocells overlaid by a single small cell tier such as picocells or femtocells. In this paper, we lay emphasis on exploring the intrinsic links among coverage performance, energy efficiency and small cell density in the multi-tier heterogeneous networks.

In this context, we propose an analytical framework for a multi-tier heterogeneous network with the purpose of obtaining the maximum energy efficiency and achievable throughput without substantially degrading the coverage performance in the meantime. Firstly, we use the baseline Poisson point process PPP for tractably modeling the multi-tier HetNets system [ 24 ] and we analyze the Signal to Interference Ratio SIR via studying the cumulative interference from each tier.

By utilizing stochastic geometry tools, we then derive the analytical expressions of coverage probability and throughput for pico-tier as well as femto-tier. In order to evaluate the system performance, we devise the disjoint channel allocation scheme and study the system channel throughput for small cell tiers by taking user experience into consideration.

Different from the existing works, we formulate the energy efficiency optimization problem under constraints of throughput and resource allocation fairness. To solve this problem, we devise a linear programming based method to generate the available area to obtain the feasible solutions. Through the system-level simulations, we present how the varying of system parameters affects coverage performance and energy efficiency. The comparative studies demonstrate that our proposed method is able to achieve better system performance when compared with existing methods.

The optimal pico-femto density ratio for the dense small cells is verified, which can be used to guide the topological design for the multi-tier HetNets.

The remainder of the paper is organized as follows: Section 2 presents the modeling of the multi-tier HetNets and the SIR analysis. Section 3 derives the coverage probability to study the coverage performances for pico-tier and femto-tier respectively.

## From Our Store

Section 4 devises the channel allocation scheme and defines the system throughput for different tier. Section 5 formulates the energy minimization problem and proposes its solution based on linear programming. Section 6 provides numerical results based on the system-level simulations. Finally, Section 7 concludes the paper. Modeling of Multi-Tier Heterogeneous Networks According to [ 25 ], a concise and tractable model begins with a spatial point process to statistically model the base station locations in HetNets.

In this study, we consider a multi-tier heterogeneous network consisting of macrocells and two different types of small cells, picocell and femtocell, which constitutes pico-tier and femto-tier, respectively.

## Citations per year

As shown in Figure 1 , the PPP distribution of macrocells and small cells are illustrated. Picocell base stations PBSs are deployed to enhance the coverage of a macrocell for a wide range whose coverage radius is Rp.

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Femtocell base stations FBSs are used for homes, offices and other personal area that have high speed traffic demands. In order to obtain the best link quality, each picocell user accesses the nearest PBS as the serving base station. Shi, K. Li, Z. Li, H. Zhu and G. Shi, G. Zhao, Y. Richard Yu and H. Wong, M. Renzo, G. Hamdi, and J. Zheng, and G.

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Nallanathan, Z. Ding and G. Krikidis, "Exploiting constructive interference for simultaneous wireless information and power transfer in multiuser downlink systems," IEEE Journal on Selected Areas in Communications - Series on Green Communications and Networking, vol.

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## Miguel López-Benítez

Zhong, G. Masouros and G. Kalantari, S. Maleki, G. Chatzinotas and B. Ouyang, Y. Huang, and G. Krikidis, and Z. Ho, E. Timotheou, I. Krikidis, G. Suraweera, I. Yuen, and P. Krikidis, Jiangyuan Li, Athina P. Petropulu, and B. Song, K. Wong, and B. Krikidis, and B.

Zheng, M. Bengtsson, K. Wong, B. Ottersten, and L. Christopoulos, S. Chatzinotas, G. Zheng, J. Grotz, and B. Chatzinotas, and B. Bjornson, G. Bengtsson, and B.

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## Miguel López-Benítez

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## Heterogeneous Cellular Networks

Huang, X. Deo, D. Mirshekar-Syahkal, and G.

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Masouros, I. Krikidis and S. Zheng and B. Zheng, E. Jorswieck, and B. Meng, W. Feng, G. Sabrina Gerbracht, Eduard A. Jorswieck, G.

Zheng, and B. Li, K. Bjornson, M. Bengtsson, G.Zheng, and R. Zheng, and I. Guo, G. Umsiteashi, R. Patel, J. Chatzinotas, J. Karla, J. Tarchi, S. Wong, H. An, G.

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