Cognitive beamforming based smart metering for coexistence with wireless local area networks

Keonkook Lee; Chan Byoung Chae; Tae Kyung Sung; Joonhyuk Kang

doi:10.1109/JCN.2012.00028

Cognitive beamforming based smart metering for coexistence with wireless local area networks

Keonkook Lee, Chan Byoung Chae, Tae Kyung Sung, Joonhyuk Kang

School of Integrated Technology

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

The ZigBee network has been considered to monitor electricity usage of home appliances in the smart grid network. ZigBee, however, may suffer from a coexistence problem with wireless local area network (WLAN). In this paper, to resolve the coexistence problem between ZigBee network and WLAN, we propose a new protocol constructing a cognitive smart grid network for supporting monitoring of home appliances. In the proposed protocol, home appliances first estimates the transmission timing and channel information of WLAN by reading request to send/clear to send (RTS/CTS) frames of WLAN. Next, based on the estimated information, home appliances transmit a data at the same time as WLAN transmission. To manage the interference between WLAN and smart grid network, we propose a cognitive beamforming algorithm. The beamforming algorithm is designed to guaranteeing zero interference to WLAN while satisfying a required rate for smart metering. We also propose an energy efficient rate adaptation algorithm. By slowing down the transmission rate while satisfying an imperceptible impact of quality of service (QoS) of the receiver, the home appliance can significantly save transmit power. Numerical results show that the proposed multiple antenna technique provides reliable communications for smart metering with reduced power comparing to the simple transmission technique.

Original language	English
Pages (from-to)	619-628
Number of pages	10
Journal	Journal of Communications and Networks
Volume	14
Issue number	6
DOIs	https://doi.org/10.1109/JCN.2012.00028
Publication status	Published - 2012 Dec

Bibliographical note

Funding Information:
The work of K. Lee and J. Kang was in part supported by the Technology Innovation Program, 10041818, funded by the Ministry of Knowledge Economy (MKE, Korea). The work of C.-B. Chae was in part supported by the KCC (Korea Communications Commission), Korea, under the R&D program supervised by the KCA (Korea Communications Agency) (KCA-2012-1291101106) and the Ministry of Knowledge Economy under the IT Consilience Creative Program (NIPA-2012-H0201-12-1001).

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/JCN.2012.00028

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title = "Cognitive beamforming based smart metering for coexistence with wireless local area networks",

abstract = "The ZigBee network has been considered to monitor electricity usage of home appliances in the smart grid network. ZigBee, however, may suffer from a coexistence problem with wireless local area network (WLAN). In this paper, to resolve the coexistence problem between ZigBee network and WLAN, we propose a new protocol constructing a cognitive smart grid network for supporting monitoring of home appliances. In the proposed protocol, home appliances first estimates the transmission timing and channel information of WLAN by reading request to send/clear to send (RTS/CTS) frames of WLAN. Next, based on the estimated information, home appliances transmit a data at the same time as WLAN transmission. To manage the interference between WLAN and smart grid network, we propose a cognitive beamforming algorithm. The beamforming algorithm is designed to guaranteeing zero interference to WLAN while satisfying a required rate for smart metering. We also propose an energy efficient rate adaptation algorithm. By slowing down the transmission rate while satisfying an imperceptible impact of quality of service (QoS) of the receiver, the home appliance can significantly save transmit power. Numerical results show that the proposed multiple antenna technique provides reliable communications for smart metering with reduced power comparing to the simple transmission technique.",

author = "Keonkook Lee and Chae, {Chan Byoung} and Sung, {Tae Kyung} and Joonhyuk Kang",

note = "Funding Information: The work of K. Lee and J. Kang was in part supported by the Technology Innovation Program, 10041818, funded by the Ministry of Knowledge Economy (MKE, Korea). The work of C.-B. Chae was in part supported by the KCC (Korea Communications Commission), Korea, under the R&D program supervised by the KCA (Korea Communications Agency) (KCA-2012-1291101106) and the Ministry of Knowledge Economy under the IT Consilience Creative Program (NIPA-2012-H0201-12-1001).",

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N1 - Funding Information: The work of K. Lee and J. Kang was in part supported by the Technology Innovation Program, 10041818, funded by the Ministry of Knowledge Economy (MKE, Korea). The work of C.-B. Chae was in part supported by the KCC (Korea Communications Commission), Korea, under the R&D program supervised by the KCA (Korea Communications Agency) (KCA-2012-1291101106) and the Ministry of Knowledge Economy under the IT Consilience Creative Program (NIPA-2012-H0201-12-1001).

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N2 - The ZigBee network has been considered to monitor electricity usage of home appliances in the smart grid network. ZigBee, however, may suffer from a coexistence problem with wireless local area network (WLAN). In this paper, to resolve the coexistence problem between ZigBee network and WLAN, we propose a new protocol constructing a cognitive smart grid network for supporting monitoring of home appliances. In the proposed protocol, home appliances first estimates the transmission timing and channel information of WLAN by reading request to send/clear to send (RTS/CTS) frames of WLAN. Next, based on the estimated information, home appliances transmit a data at the same time as WLAN transmission. To manage the interference between WLAN and smart grid network, we propose a cognitive beamforming algorithm. The beamforming algorithm is designed to guaranteeing zero interference to WLAN while satisfying a required rate for smart metering. We also propose an energy efficient rate adaptation algorithm. By slowing down the transmission rate while satisfying an imperceptible impact of quality of service (QoS) of the receiver, the home appliance can significantly save transmit power. Numerical results show that the proposed multiple antenna technique provides reliable communications for smart metering with reduced power comparing to the simple transmission technique.

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Cognitive beamforming based smart metering for coexistence with wireless local area networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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