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Journal ArticleDOI

Heterogeneous cellular networks: From theory to practice

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TLDR
New theoretical models for understanding the heterogeneous cellular networks of tomorrow are discussed, and the practical constraints and challenges that operators must tackle in order for these networks to reach their potential are discussed.
Abstract
The proliferation of internet-connected mobile devices will continue to drive growth in data traffic in an exponential fashion, forcing network operators to dramatically increase the capacity of their networks. To do this cost-effectively, a paradigm shift in cellular network infrastructure deployment is occurring away from traditional (expensive) high-power tower-mounted base stations and towards heterogeneous elements. Examples of heterogeneous elements include microcells, picocells, femtocells, and distributed antenna systems (remote radio heads), which are distinguished by their transmit powers/ coverage areas, physical size, backhaul, and propagation characteristics. This shift presents many opportunities for capacity improvement, and many new challenges to co-existence and network management. This article discusses new theoretical models for understanding the heterogeneous cellular networks of tomorrow, and the practical constraints and challenges that operators must tackle in order for these networks to reach their potential.

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Citations
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Proceedings ArticleDOI

Optimal channel switching for average capacity maximization

TL;DR: A necessary and sufficient condition is derived in order to determine when the proposed optimal channel switching approach can or cannot outperform the optimal single channel approach, which performs no channel switching.
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Performance of Macro-Pico Heterogeneous Networks based on LTE-Advanced

TL;DR: Large performance gain or tradeoff between the system throughput and the spectrum efficiency can be achieved if the value of deployment option is well designed, and some suggestions are provided on the configuration of the deployment parameters.
Book ChapterDOI

Interference Mitigation and Energy Management in Heterogeneous Networks: A Cognitive Radio Perspective

TL;DR: This chapter first reviews cognitive radios, multiple types of smallcells, and the benefits of cognitive radio-enabled heterogeneous networks, and introduces the scheme design of cognitive interference management and energy management and simulation results are provided to show the improved performance of these proposed cognitive schemes.
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Pass go and collect $200: The profitable union of facilities and small-cells

TL;DR: The incorporation of a user service agreement into the arrangement means that resource allocation must account for financial as well as physical resource constraints, and the impact on the profitability of facility micronetworks based on physical layer-modeled via stochastic geometry-and financial parameters is demonstrated.
Proceedings ArticleDOI

Online Algorithm for Wireless Backhaul HetNets with Advanced Small Cell Buffering

TL;DR: A novel model of two-tier wireless backhaul small cell networks that considers buffering of finite storage size at each small cell access point is studied and an online algorithm that jointly optimizes the transmit beamforming and power allocation is developed.
References
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Journal ArticleDOI

Femtocell networks: a survey

TL;DR: The technical and business arguments for femtocells are overview and the state of the art on each front is described and the technical challenges facing femtocell networks are described and some preliminary ideas for how to overcome them are given.
Journal ArticleDOI

Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks

Abstract: Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, flexible, and accurate model for a downlink heterogeneous cellular network (HCN) consisting of K tiers of randomly located BSs, where each tier may differ in terms of average transmit power, supported data rate and BS density. Assuming a mobile user connects to the strongest candidate BS, the resulting Signal-to-Interference-plus-Noise-Ratio (SINR) is greater than 1 when in coverage, Rayleigh fading, we derive an expression for the probability of coverage (equivalently outage) over the entire network under both open and closed access, which assumes a strikingly simple closed-form in the high SINR regime and is accurate down to -4 dB even under weaker assumptions. For external validation, we compare against an actual LTE network (for tier 1) with the other K-1 tiers being modeled as independent Poisson Point Processes. In this case as well, our model is accurate to within 1-2 dB. We also derive the average rate achieved by a randomly located mobile and the average load on each tier of BSs. One interesting observation for interference-limited open access networks is that at a given \sinr, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR.
Journal ArticleDOI

Heterogeneous Cellular Networks with Flexible Cell Association: A Comprehensive Downlink SINR Analysis

TL;DR: A tractable framework for SINR analysis in downlink heterogeneous cellular networks (HCNs) with flexible cell association policies is developed and the average ergodic rate of the typical user, and the minimum average users throughput - the smallest value among the average user throughputs supported by one cell in each tier is derived.
Journal ArticleDOI

LTE-advanced: next-generation wireless broadband technology [Invited Paper]

TL;DR: An overview of the techniques being considered for LTE Release 10 (aka LTEAdvanced) is discussed, which includes bandwidth extension via carrier aggregation to support deployment bandwidths up to 100 MHz, downlink spatial multiplexing including single-cell multi-user multiple-input multiple-output transmission and coordinated multi point transmission, and heterogeneous networks with emphasis on Type 1 and Type 2 relays.
Journal ArticleDOI

Interference coordination and cancellation for 4G networks

TL;DR: Viable approaches include the use of power control, opportunistic spectrum access, intra and inter-base station interference cancellation, adaptive fractional frequency reuse, spatial antenna techniques such as MIMO and SDMA, and adaptive beamforming, as well as recent innovations in decoding algorithms.
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