Small Cells - Effective Capacity Relief Option for Heterogeneous Networks

Hughes, Michael; Jovanovic, Vladan

doi:10.1109/vtcfall.2012.6399245

Cited by 14 publications

(10 citation statements)

References 12 publications

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“…Advanced small cell [66,123] deployment is considered to be one of the key enablers for achieving many of the requirements currently envisioned for 5G [67], with higher data rates [68,171,250] and more capacity [171][172][173][174], as most important. Higher data rates and smaller battery consumption can be achieved using short distances in the small cell [69].…”

Section: Access Architecture Related Radio Technologymentioning

confidence: 99%

IoT’s Tiny Steps towards 5G: Telco’s Perspective

Cero¹,

Husić

Baraković

2017

Symmetry

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Abstract:The numerous and diverse applications of the Internet of Things (IoT) have the potential to change all areas of daily life of individuals, businesses, and society as a whole. The vision of a pervasive IoT spans a wide range of application domains and addresses the enabling technologies needed to meet the performance requirements of various IoT applications. In order to accomplish this vision, this paper aims to provide an analysis of literature in order to propose a new classification of IoT applications, specify and prioritize performance requirements of such IoT application classes, and give an insight into state-of-the-art technologies used to meet these requirements, all from telco's perspective. A deep and comprehensive understanding of the scope and classification of IoT applications is an essential precondition for determining their performance requirements with the overall goal of defining the enabling technologies towards fifth generation (5G) networks, while avoiding over-specification and high costs. Given the fact that this paper presents an overview of current research for the given topic, it also targets the research community and other stakeholders interested in this contemporary and attractive field for the purpose of recognizing research gaps and recommending new research directions.

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Section: Access Architecture Related Radio Technologymentioning

confidence: 99%

IoT’s Tiny Steps towards 5G: Telco’s Perspective

Cero¹,

Husić

Baraković

2017

Symmetry

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“…Therefore, all UEs perform scanning of neighboring cells with an interval of 1 second. With respect to the system model described in section III.A, all cells included in Β M (see (1)) are scanned.…”

Section: A Competitive Algorithmsmentioning

confidence: 99%

“…EPLOYMENT of small cells (SCeNBs) increases overall throughput of network and it enables to offload macro cells (MeNBs) [1]. On the other hand, a high number of SCeNBs in the network implies several problems.…”

Section: Introductionmentioning

confidence: 99%

Distance-Based Neighborhood Scanning for Handover Purposes in Network with Small Cells

Vondra

Bečvář

2016

IEEE Trans. Veh. Technol.

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Deployment of small cells into existing mobile networks can improve throughput and users quality of service. However, the new tier composed of the small cells raises problems related to management of user's mobility. Moving users must be able to discover cells in their neighborhood. For this purpose, the users perform neighborhood scanning. The scanning process should be frequent enough to avoid situations when the user is not aware of a close cell as this one has not been scanned. However, the frequent scanning of a high number of neighboring cells leads to wasting battery of user equipments and to a reduction of user's throughput. Contrary, rare scanning can lead to a situation when a small cell is missing in the list of scanned cells and, thus, handover to it is not performed. It results in underutilization of the small cells and consequent overloading of macro cells. In this paper, we propose an efficient scanning algorithm suitable for future mobile networks. The objective of the proposed scheme is to maximize utilization of the small cells and to minimize energy consumption due to scanning. The proposal exploits graph theory to represent a principle of obstructed paths in combination with knowledge of previous visited cell and estimated distance between cells. As the results presented in the paper show, our algorithm reduces energy consumption due to scanning and enables higher exploitation of small cells by offloading macrocells.

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“…In 2013, operators already paid more than 22 billion US dollars for purchasing, setting up and maintaining these extra base stations [2], [3]. Even with the existing solutions, the hotzones with heavy traffic load cannot be easily located, which highly depends on the properties of user mobility and time-varying traffic demand [4]. Furthermore, considering the energy consumption and cost issues for operating a considerable number of base stations, another energy-efficient and cost-effective solution should be identified.…”

Section: Introductionmentioning

confidence: 99%

Mobile small cell deployment for next generation cellular networks

Chou

Chiu

et al. 2014

2014 IEEE Global Communications Conference

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With the rapid growth of mobile broadband traffic, adopting small cell is a promising trend for operators to improve network capacity with low cost. However, static small cells cannot be flexibly placed to fulfill time/space-varying traffic. The static small cells might stay in idle or under-utilized mode during some time periods, which wastes resources. Therefore, this paper utilizes the mobile small cell concept and studies the deployment problem for mobile small cells. The objective is to maximize the service time provided by mobile small cells for all users. If a finite number of mobile small cells can serve more users for more time, the mobile small cell deployment will have more gains. Specifically, we show an interesting trade-off in the service time maximization. Then, we prove our target problem is N P-hard and propose an efficient mobile small cell deployment algorithm to deal with the trade-off to maximize the total service time. We construct a series of simulations with realistic parameter settings to evaluate the performance of our proposed algorithm. Compared with a static small cell deployment algorithm and a random mobile small cell deployment algorithm, the simulation results show that our proposed scheme can significantly increase the total service time provided for all users.Index Terms-cellular network, mobile small cell, small cell deployment 978-1-4799-3512-3/14/$31.00 ©2014 IEEE Globecom 2014 -Wireless Networking Symposium

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Small Cells - Effective Capacity Relief Option for Heterogeneous Networks

Cited by 14 publications

References 12 publications

IoT’s Tiny Steps towards 5G: Telco’s Perspective

IoT’s Tiny Steps towards 5G: Telco’s Perspective

Distance-Based Neighborhood Scanning for Handover Purposes in Network with Small Cells

Mobile small cell deployment for next generation cellular networks

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