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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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Proceedings ArticleDOI

Autonomous Decentralized User Association Method to Maximize Integrated System Throughput for Multi-service Coexistence

TL;DR: In this article , the authors proposed an autonomous decentralized user association method that maximizes the integrated system throughput, which is defined across multiple services, taking into account the trade-off between spectrum efficiency and fairness among users for each service.
DissertationDOI

Radio Resource Management in Heterogeneous Cellular Networks

Doohyun Sung
TL;DR: This dissertation addresses two research challenges in HetNets: the cross-tier interference problem where cell range expansion is applied for user offloading in cell association so that pico mobile stations located in expanded range, and the load-aware cell association which tries to overcome the drawback of the received signal strength-based cell association.

Managing randomness in wireless networks: Random power control and successive interference cancellation

Xinchen Zhang
TL;DR: This thesis provides a unified framework to study the performance of SIC in d-dimensional wireless networks with arbitrary fading distribution and power-law path loss and proves that under mean and peak power constraints at each transmitter, the SNOPC and NEPC strategies are ALOHA-type random on-off power control policies.
Posted Content

Dynamic Resource Allocation and Activity Management for Energy Efficiency and Fairness in Heterogeneous Networks

TL;DR: This work study a dynamic activation strategy, which changes the state of small cells between Active and Idle according to the dynamically changing user traffic, in order to increase the energy efficiency of HetNets.
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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