Abstract
In this paper, we focus on maximizing weighted sum energy efficiency (EE) for a multi-cell multi-user channel. In order to solve this non-convex problem, we first decompose the original problem into a sequence of parallel subproblems which can be optimized separately. For each subproblem, a base station employs dirty paper coding to maximize the EE for users within the cell while regulating interference induced to other cells. Since each subproblem can be transformed to a convex multiple-access channel problem, the proposed method provide a closed-form power allocation. Then, based on the optimal covariance matrix, a locally optimal solution is obtained to maximize the sum EE. Finally, simulation results show that our algorithm based on the non-linear precoding achieves close to 20 percent gain than the conventional linear precoding method.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Communications, ICC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2363-2368 |
Number of pages | 6 |
ISBN (Electronic) | 9781467364324 |
DOIs | |
Publication status | Published - 2015 Sept 9 |
Event | IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: 2015 Jun 8 → 2015 Jun 12 |
Publication series
Name | IEEE International Conference on Communications |
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Volume | 2015-September |
ISSN (Print) | 1550-3607 |
Other
Other | IEEE International Conference on Communications, ICC 2015 |
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Country/Territory | United Kingdom |
City | London |
Period | 15/6/8 → 15/6/12 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Dirty paper coding
- Energy efficiency
- Multi-cell multi-user channel
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering