Downlink Power Control for Massive MIMO Cellular Systems with Optimal User Association
| Main Authors: | Trinh Van Chien, Emil Björnson, Erik G. Larsson |
|---|---|
| Format: | Proceeding Journal |
| Terbitan: |
, 2016
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/160710 |
| ctrlnum |
160710 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Trinh Van Chien</creator><creator>Emil Björnson</creator><creator>Erik G. Larsson</creator><date>2016-07-14</date><description>This paper aims to minimize the total transmit power consumption for Massive MIMO (multiple-input multipleoutput) downlink cellular systems when each user is served by the optimized subset of the base stations (BSs). We derive a lower bound on the ergodic spectral efficiency (SE) for Rayleigh fading channels and maximum ratio transmission (MRT) when the BSs cooperate using non-coherent joint transmission.
We solve the joint user association and downlink transmit power minimization problem optimally under fixed SE constraints. Furthermore, we solve a max-min fairness problem with user specific weights that maximizes the worst SE among the users. The optimal BS-user association rule is derived, which is different from maximum signal-to-noise-ratio (max-SNR) association. Simulation results manifest that the proposed methods can provide good SE for the users using less transmit power than in small-scale systems and that the optimal user association can effectively balance the load between BSs when needed.</description><identifier>https://zenodo.org/record/160710</identifier><identifier>10.1109/ICC.2016.7510950</identifier><identifier>oai:zenodo.org:160710</identifier><relation>info:eu-repo/grantAgreement/EC/H2020/641985/</relation><relation>url:https://zenodo.org/communities/ecfunded</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Rayleigh fading channels</subject><subject>Maximum ratio transmission</subject><subject>Cellular systems</subject><subject>Wireless communication</subject><subject>Uplink Channel Estimation</subject><subject>Spectral Efficiency</subject><subject>Linear Programming</subject><subject>Pre-coding</subject><title>Downlink Power Control for Massive MIMO Cellular Systems with Optimal User Association</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>160710</recordID></dc>
|
| format |
Journal:Proceeding Journal Journal:Journal |
| author |
Trinh Van Chien Emil Björnson Erik G. Larsson |
| title |
Downlink Power Control for Massive MIMO Cellular Systems with Optimal User Association |
| publishDate |
2016 |
| topic |
Rayleigh fading channels Maximum ratio transmission Cellular systems Wireless communication Uplink Channel Estimation Spectral Efficiency Linear Programming Pre-coding |
| url |
https://zenodo.org/record/160710 |
| contents |
This paper aims to minimize the total transmit power consumption for Massive MIMO (multiple-input multipleoutput) downlink cellular systems when each user is served by the optimized subset of the base stations (BSs). We derive a lower bound on the ergodic spectral efficiency (SE) for Rayleigh fading channels and maximum ratio transmission (MRT) when the BSs cooperate using non-coherent joint transmission.
We solve the joint user association and downlink transmit power minimization problem optimally under fixed SE constraints. Furthermore, we solve a max-min fairness problem with user specific weights that maximizes the worst SE among the users. The optimal BS-user association rule is derived, which is different from maximum signal-to-noise-ratio (max-SNR) association. Simulation results manifest that the proposed methods can provide good SE for the users using less transmit power than in small-scale systems and that the optimal user association can effectively balance the load between BSs when needed. |
| id |
IOS16997.160710 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T04:54:28Z |
| last_indexed |
2022-06-06T04:54:28Z |
| recordtype |
dc |
| _version_ |
1734903666309070848 |
| score |
17.610468 |