Joint Successive DTx and Antenna Optimization for Energy Efficient Large Scale Antenna Systems

W Pramudito; Emad Alsusa; Daniel K C So; K Hamdi

Joint Successive DTx and Antenna Optimization for Energy Efficient Large Scale Antenna Systems

W Pramudito, Emad Alsusa, Daniel K C So, K Hamdi

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

Abstract

This paper addresses energy efficiency (EE) of large scale antenna systems (LSAS) or massive MIMO based cellular networks. We propose a joint technique that combines a novel successive discontinuous transmission (SDTx) scheme with antenna array optimization (AAO). The SDTx utilizes information regarding the users' requirements and properties to deliver data efficiently and without compromising the users' service. On the other hand, AAO further reduces power consumption through minimizing the number of active antenna elements. Users requirements include bit rate and latency requirement while the users properties include pathloss between users and macro base station (MBS) and users' movement. It will be shown that, relative to conventional LSAS, the proposed scheduling significantly improves the EE of LSAS network for various network load under practical users' requirement in dense urban environment making it a potential candidate for green cellular networks.

Original language	English
Title of host publication	Proc. IEEE Globecom
Publication status	Published - Dec 2015
Event	IEEE Globecom - Duration: 1 Jan 1824 → …

Conference

Conference	IEEE Globecom
Period	1/01/24 → …

UN SDGs

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

Cite this

@inproceedings{1db09ac48b254cb78fc4c62a233ab653,

title = "Joint Successive DTx and Antenna Optimization for Energy Efficient Large Scale Antenna Systems",

abstract = "This paper addresses energy efficiency (EE) of large scale antenna systems (LSAS) or massive MIMO based cellular networks. We propose a joint technique that combines a novel successive discontinuous transmission (SDTx) scheme with antenna array optimization (AAO). The SDTx utilizes information regarding the users' requirements and properties to deliver data efficiently and without compromising the users' service. On the other hand, AAO further reduces power consumption through minimizing the number of active antenna elements. Users requirements include bit rate and latency requirement while the users properties include pathloss between users and macro base station (MBS) and users' movement. It will be shown that, relative to conventional LSAS, the proposed scheduling significantly improves the EE of LSAS network for various network load under practical users' requirement in dense urban environment making it a potential candidate for green cellular networks.",

author = "W Pramudito and Emad Alsusa and So, {Daniel K C} and K Hamdi",

year = "2015",

month = dec,

language = "English",

booktitle = "Proc. IEEE Globecom",

note = "IEEE Globecom ; Conference date: 01-01-1824",

}

TY - GEN

T1 - Joint Successive DTx and Antenna Optimization for Energy Efficient Large Scale Antenna Systems

AU - Pramudito, W

AU - Alsusa, Emad

AU - So, Daniel K C

AU - Hamdi, K

PY - 2015/12

Y1 - 2015/12

N2 - This paper addresses energy efficiency (EE) of large scale antenna systems (LSAS) or massive MIMO based cellular networks. We propose a joint technique that combines a novel successive discontinuous transmission (SDTx) scheme with antenna array optimization (AAO). The SDTx utilizes information regarding the users' requirements and properties to deliver data efficiently and without compromising the users' service. On the other hand, AAO further reduces power consumption through minimizing the number of active antenna elements. Users requirements include bit rate and latency requirement while the users properties include pathloss between users and macro base station (MBS) and users' movement. It will be shown that, relative to conventional LSAS, the proposed scheduling significantly improves the EE of LSAS network for various network load under practical users' requirement in dense urban environment making it a potential candidate for green cellular networks.

AB - This paper addresses energy efficiency (EE) of large scale antenna systems (LSAS) or massive MIMO based cellular networks. We propose a joint technique that combines a novel successive discontinuous transmission (SDTx) scheme with antenna array optimization (AAO). The SDTx utilizes information regarding the users' requirements and properties to deliver data efficiently and without compromising the users' service. On the other hand, AAO further reduces power consumption through minimizing the number of active antenna elements. Users requirements include bit rate and latency requirement while the users properties include pathloss between users and macro base station (MBS) and users' movement. It will be shown that, relative to conventional LSAS, the proposed scheduling significantly improves the EE of LSAS network for various network load under practical users' requirement in dense urban environment making it a potential candidate for green cellular networks.

M3 - Conference contribution

BT - Proc. IEEE Globecom

T2 - IEEE Globecom

Y2 - 1 January 1824

ER -

Joint Successive DTx and Antenna Optimization for Energy Efficient Large Scale Antenna Systems

Abstract

Conference

UN SDGs

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