Abstract
This paper considers a massive MIMO system under the double scattering channels. We derive a closedform expression of the uplink ergodic spectral efficiency (SE) by exploiting the maximum-ratio combining technique with imperfect channel state information. We then formulate and solve a total uplink data power optimization problem that aims at simultaneously satisfying the required SEs from all the users with limited power resources. We further propose algorithms to cope with the congestion issue appearing when at least one
user is served by lower SE than requested. Numerical results illustrate the effectiveness of our proposed power optimization. More importantly, our proposed congestion-handling algorithms can guarantee the required SEs to many users under congestion, even when the SE requirement is high.
user is served by lower SE than requested. Numerical results illustrate the effectiveness of our proposed power optimization. More importantly, our proposed congestion-handling algorithms can guarantee the required SEs to many users under congestion, even when the SE requirement is high.
Original language | English |
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Title of host publication | IEEE International Conference on Communications: Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9781728171227 |
ISBN (Print) | 9781728171234 |
DOIs | |
Publication status | Published - 06 Aug 2021 |
Event | IEEE International Conference on Communications 2021 - Montreal, Canada Duration: 14 Jun 2021 → 23 Jun 2021 |
Publication series
Name | IEEE International Conference on Communications: Proceedings |
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Publisher | IEEE |
ISSN (Print) | 1550-3607 |
ISSN (Electronic) | 1938-1883 |
Conference
Conference | IEEE International Conference on Communications 2021 |
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Abbreviated title | IEEE ICC 2021 |
Country/Territory | Canada |
City | Montreal |
Period | 14/06/2021 → 23/06/2021 |