Adaptive LSAS Transmission for Energy Optimisation in Low Density Cellular Networks

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

doi:10.1109/OnlineGreenCom.2014.7114432

Adaptive LSAS Transmission for Energy Optimisation in Low Density Cellular Networks

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

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

Abstract

This paper proposes an adaptive framework for optimising energy efficiency in large scale antenna systems (LSAS) by utilising knowledge about the users’ requirement and properties in a novel discontinuous transmission (DTx) scheme. The users’ requirement includes bit rate and latency while the users’ properties include pathloss between the Macro basestation (MBS) and users, and information about the average received interference by each user. The proposed DTx divides the transmission into L scheduled transmissions (STs). In each ST, one or more users will be released from the overall scheduled transmission hence, leaving more spectrum for the remaining users that require longer transmission. It will be shown that the proposed scheme provides energy efficiency (EE) and Quality of Service (QoS) improvement for various number of users. This demonstrates that DTx based LSAS is an effective candidate for future cellular network for suburban and rural area.

Original language	English
Title of host publication	Proc. IEEE Online Conference on Green Communications
DOIs	https://doi.org/10.1109/OnlineGreenCom.2014.7114432
Publication status	Published - Nov 2014
Event	IEEE Online Conference on Green Comms - Duration: 1 Jan 1824 → …

Conference

Conference	IEEE Online Conference on Green Comms
Period	1/01/24 → …

UN SDGs

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

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10.1109/OnlineGreenCom.2014.7114432

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@inproceedings{e5db3134aa9d420fb8b356f163ca48ab,

title = "Adaptive LSAS Transmission for Energy Optimisation in Low Density Cellular Networks",

abstract = "This paper proposes an adaptive framework for optimising energy efficiency in large scale antenna systems (LSAS) by utilising knowledge about the users{\textquoteright} requirement and properties in a novel discontinuous transmission (DTx) scheme. The users{\textquoteright} requirement includes bit rate and latency while the users{\textquoteright} properties include pathloss between the Macro basestation (MBS) and users, and information about the average received interference by each user. The proposed DTx divides the transmission into L scheduled transmissions (STs). In each ST, one or more users will be released from the overall scheduled transmission hence, leaving more spectrum for the remaining users that require longer transmission. It will be shown that the proposed scheme provides energy efficiency (EE) and Quality of Service (QoS) improvement for various number of users. This demonstrates that DTx based LSAS is an effective candidate for future cellular network for suburban and rural area.",

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

year = "2014",

month = nov,

doi = "10.1109/OnlineGreenCom.2014.7114432",

language = "English",

booktitle = "Proc. IEEE Online Conference on Green Communications",

note = "IEEE Online Conference on Green Comms ; Conference date: 01-01-1824",

}

TY - GEN

T1 - Adaptive LSAS Transmission for Energy Optimisation in Low Density Cellular Networks

AU - Pramudito, W

AU - Alsusa, Emad

AU - So, Daniel K C

AU - Hamdi, K

PY - 2014/11

Y1 - 2014/11

N2 - This paper proposes an adaptive framework for optimising energy efficiency in large scale antenna systems (LSAS) by utilising knowledge about the users’ requirement and properties in a novel discontinuous transmission (DTx) scheme. The users’ requirement includes bit rate and latency while the users’ properties include pathloss between the Macro basestation (MBS) and users, and information about the average received interference by each user. The proposed DTx divides the transmission into L scheduled transmissions (STs). In each ST, one or more users will be released from the overall scheduled transmission hence, leaving more spectrum for the remaining users that require longer transmission. It will be shown that the proposed scheme provides energy efficiency (EE) and Quality of Service (QoS) improvement for various number of users. This demonstrates that DTx based LSAS is an effective candidate for future cellular network for suburban and rural area.

AB - This paper proposes an adaptive framework for optimising energy efficiency in large scale antenna systems (LSAS) by utilising knowledge about the users’ requirement and properties in a novel discontinuous transmission (DTx) scheme. The users’ requirement includes bit rate and latency while the users’ properties include pathloss between the Macro basestation (MBS) and users, and information about the average received interference by each user. The proposed DTx divides the transmission into L scheduled transmissions (STs). In each ST, one or more users will be released from the overall scheduled transmission hence, leaving more spectrum for the remaining users that require longer transmission. It will be shown that the proposed scheme provides energy efficiency (EE) and Quality of Service (QoS) improvement for various number of users. This demonstrates that DTx based LSAS is an effective candidate for future cellular network for suburban and rural area.

U2 - 10.1109/OnlineGreenCom.2014.7114432

DO - 10.1109/OnlineGreenCom.2014.7114432

M3 - Conference contribution

BT - Proc. IEEE Online Conference on Green Communications

T2 - IEEE Online Conference on Green Comms

Y2 - 1 January 1824

ER -

Adaptive LSAS Transmission for Energy Optimisation in Low Density Cellular Networks

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