Shanko Chura Aredo, Y. Negash, Y. Wondie, Rajaveerappa Devadas, Feyisa Debo, Mahlet Akalu
{"title":"Adaptive Circuit Power Control for Down-link Massive MIMO Systems","authors":"Shanko Chura Aredo, Y. Negash, Y. Wondie, Rajaveerappa Devadas, Feyisa Debo, Mahlet Akalu","doi":"10.1109/ict4da53266.2021.9672219","DOIUrl":null,"url":null,"abstract":"Massive MIMO (mMIMO) is a variant of MIMO systems in which hundreds and thousands of miniatured antennas can be installed in a single Base Station (BS) serving a number of single antenna user terminals. As the number of transmit antennas (M) equivalently increases with the number of RF chains associated with each antenna elements especially in digital beamforming, the chain exhibits substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low resolution DAC with hybrid precoder is used for reducing the total power consumption in order to achieve energy efficient downlink mMIMO. The simulation results show that, the power consumption overhead reduces with low DAC resolution and the system achieves more energy and spectral efficiency relative to without DAC resolution. Moreover, considering a given number of users, we compared energy and SE with and without resolution. Finally, the trade-off between EE and SE is analysed for both conditions and has been shown that EE with more resolution surpasses that of with low and without resolution.","PeriodicalId":371663,"journal":{"name":"2021 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ict4da53266.2021.9672219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Massive MIMO (mMIMO) is a variant of MIMO systems in which hundreds and thousands of miniatured antennas can be installed in a single Base Station (BS) serving a number of single antenna user terminals. As the number of transmit antennas (M) equivalently increases with the number of RF chains associated with each antenna elements especially in digital beamforming, the chain exhibits substantial amount of power consumption accordingly. Hence, to alleviate such problems, one of the potential solutions is to reduce the number of RFs or to minimize their power consumption. In this paper, low resolution DAC with hybrid precoder is used for reducing the total power consumption in order to achieve energy efficient downlink mMIMO. The simulation results show that, the power consumption overhead reduces with low DAC resolution and the system achieves more energy and spectral efficiency relative to without DAC resolution. Moreover, considering a given number of users, we compared energy and SE with and without resolution. Finally, the trade-off between EE and SE is analysed for both conditions and has been shown that EE with more resolution surpasses that of with low and without resolution.