Performance limits for cognitive small cells

Matthias Wildemeersch; Matthias Wildemeersch; Tony Q.S. Quek; Alberto Rabbachin; Cornelis H. Slump; Aiping Huang

doi:10.1109/WCNC.2013.6555005

Performance limits for cognitive small cells

Matthias Wildemeersch, Matthias Wildemeersch, Tony Q.S. Quek, Alberto Rabbachin, Cornelis H. Slump, Aiping Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

69 Downloads (Pure)

Abstract

Heterogeneous networks consisting of a macrocell tier and a small cell tier are foreseen as one of the solutions to meet the ever increasing mobile data demand. Since a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption, the energy efficient design of those SAPs is crucial. Sleep mode techniques are a promising strategy to reduce the energy consumption, yet they require cognitive capabilities to detect the presence of a macrocell user. In this work, we define a fundamental limit on the interference density that allows robust user detection. Beyond this limit, which we call the interference wall, an energy efficient SAP design is impossible. In addition, we elucidate the relation between energy efficiency and sensing time using large deviations theory.

Original language	Undefined
Title of host publication	IEEE Wireless Communications and Networking Conference, WCNC 2013
Place of Publication	USA
Publisher	IEEE
Pages	2807-2811
Number of pages	5
ISBN (Print)	978-1-4673-5937-5
DOIs	https://doi.org/10.1109/WCNC.2013.6555005
Publication status	Published - 7 Apr 2013
Event	IEEE Wireless Communications & Networking Conference, WCNC 2013 - Shanghai, China Duration: 7 Apr 2013 → 10 Apr 2013 http://wcnc2013.ieee-wcnc.org/

Publication series

Name
Publisher	IEEE Communications Society
ISSN (Print)	1525-3511

Conference

Conference	IEEE Wireless Communications & Networking Conference, WCNC 2013
Abbreviated title	WCNC
Country/Territory	China
City	Shanghai
Period	7/04/13 → 10/04/13
Internet address	http://wcnc2013.ieee-wcnc.org/

Keywords

EWI-24601
IR-89860
METIS-304035

Access to Document

10.1109/WCNC.2013.6555005

Wildemeersch_IEEE_Performance_Limits_for_Cognitive_Small_Cells

Cite this

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title = "Performance limits for cognitive small cells",

abstract = "Heterogeneous networks consisting of a macrocell tier and a small cell tier are foreseen as one of the solutions to meet the ever increasing mobile data demand. Since a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption, the energy efficient design of those SAPs is crucial. Sleep mode techniques are a promising strategy to reduce the energy consumption, yet they require cognitive capabilities to detect the presence of a macrocell user. In this work, we define a fundamental limit on the interference density that allows robust user detection. Beyond this limit, which we call the interference wall, an energy efficient SAP design is impossible. In addition, we elucidate the relation between energy efficiency and sensing time using large deviations theory.",

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author = "Matthias Wildemeersch and Matthias Wildemeersch and Quek, {Tony Q.S.} and Alberto Rabbachin and Slump, {Cornelis H.} and Aiping Huang",

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T1 - Performance limits for cognitive small cells

AU - Wildemeersch, Matthias

AU - Quek, Tony Q.S.

AU - Rabbachin, Alberto

AU - Slump, Cornelis H.

AU - Huang, Aiping

N1 - eemcs-eprint-24601

PY - 2013/4/7

Y1 - 2013/4/7

N2 - Heterogeneous networks consisting of a macrocell tier and a small cell tier are foreseen as one of the solutions to meet the ever increasing mobile data demand. Since a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption, the energy efficient design of those SAPs is crucial. Sleep mode techniques are a promising strategy to reduce the energy consumption, yet they require cognitive capabilities to detect the presence of a macrocell user. In this work, we define a fundamental limit on the interference density that allows robust user detection. Beyond this limit, which we call the interference wall, an energy efficient SAP design is impossible. In addition, we elucidate the relation between energy efficiency and sensing time using large deviations theory.

AB - Heterogeneous networks consisting of a macrocell tier and a small cell tier are foreseen as one of the solutions to meet the ever increasing mobile data demand. Since a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption, the energy efficient design of those SAPs is crucial. Sleep mode techniques are a promising strategy to reduce the energy consumption, yet they require cognitive capabilities to detect the presence of a macrocell user. In this work, we define a fundamental limit on the interference density that allows robust user detection. Beyond this limit, which we call the interference wall, an energy efficient SAP design is impossible. In addition, we elucidate the relation between energy efficiency and sensing time using large deviations theory.

KW - EWI-24601

KW - IR-89860

KW - METIS-304035

U2 - 10.1109/WCNC.2013.6555005

DO - 10.1109/WCNC.2013.6555005

M3 - Conference contribution

SN - 978-1-4673-5937-5

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BT - IEEE Wireless Communications and Networking Conference, WCNC 2013

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