Efficient Tradeoff between Throughput and Energy Efficiency of Massive-MIMO Technique for Satellite Communication applications
dc.contributor.author | Hussein, Aziza | |
dc.contributor.author | Ibrahim Salah | |
dc.contributor.author | Kamel H. Rahouma | |
dc.contributor.author | M. Mourad Mabrook | |
dc.date.accessioned | 2023-06-04T09:34:26Z | |
dc.date.available | 2023-06-04T09:34:26Z | |
dc.date.issued | 2023-04-11 | |
dc.identifier.doi | 10.1109/LT58159.2023.10092283 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.14131/873 | |
dc.description.abstract | The rapidly increasing demand for mobile communication over satellite platforms and its applications necessitates a significant effort on the part of researchers to fulfill the prospective requirements of wireless network infrastructure. It is predicted that traffic will increase by multiples of hundreds soon. Therefore, the network's capacity has to multiply with high energy efficiency (EE), which can be achieved using massive multiple-input, multiple-output (M-MIMO). An adaptive scheme that maximizes energy efficiency is proposed in this paper at maximum spectral efficiency. Also, an efficient tradeoff between energy efficiency and throughput is mainly proposed. The analytical and simulation results prove that the proposed multi-cell minimum mean square error (M-MMSE) precoding scheme provides the maximum EE and efficient throughput of next-generation networks and satellite communication utilizing M- MIMO. Hence, it gives the optimum and most efficient tradeoff between EE and the throughput of the M-MIMO system. | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Throughput | en_US |
dc.subject | Massive-MIMO | en_US |
dc.subject | Energy Efficiency | en_US |
dc.title | Efficient Tradeoff between Throughput and Energy Efficiency of Massive-MIMO Technique for Satellite Communication applications | en_US |
dc.contributor.researcher | External Collaboration | en_US |
dc.contributor.lab | NA | en_US |
dc.subject.KSA | ICT | en_US |
dc.contributor.ugstudent | NA | en_US |
dc.contributor.alumnae | NA | en_US |
dc.source.index | Scopus | en_US |
dc.contributor.department | Electrical and Computer Engineering | en_US |
dc.contributor.pgstudent | NA | en_US |
dc.contributor.firstauthor | Hussein, Aziza | |
dc.conference.location | Jeddah, Saudi Arabia | en_US |
dc.conference.name | 2023 20th Learning and Technology Conference (L&T) | en_US |
dc.conference.date | 2023-01-26 |