Abstract
In this paper, we consider a new power allocation algorithm maximizing users quality of experience (QoE) with large-scale antennas. Unlike prior work on adaptive resource allocation to enhance link reliability, we jointly optimize physical layer (massive MIMO) and application layer (H.264/SVC). The proposed algorithm does not require explicit or implicit channel state information from users. We verify the derived formula through numerical simulations.
Original language | English |
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Title of host publication | 3rd IFAC Symposium on Telematics Applications, TA 2013 - Proceedings |
Publisher | IFAC Secretariat |
Pages | 94-95 |
Number of pages | 2 |
Edition | PART 1 |
ISBN (Print) | 9783902823564 |
DOIs | |
Publication status | Published - 2013 |
Event | 3rd IFAC Symposium on Telematics Applications, TA 2013 - Seoul, Korea, Republic of Duration: 2013 Nov 11 → 2013 Nov 13 |
Publication series
Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
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Number | PART 1 |
Volume | 3 |
ISSN (Print) | 1474-6670 |
Other
Other | 3rd IFAC Symposium on Telematics Applications, TA 2013 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 13/11/11 → 13/11/13 |
Bibliographical note
Funding Information:★ This work was supported in part by the Korea Communications Commission under R&D program supervised by the Korea Communications Agency (KCA-2012-911-01-106) and in part by the Ministry of science, ICT & Future Planning), Korea in the ICT R&D Program 2013 (NIPA-2013-H0203-13-1002).
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering