Abstract
This paper studies the multiple-input multiple- output (MIMO) millimeter wave (mmWave) systems with non-linear power consumption model for 5G network. A new non-linear power consumption model is investigated, consisting of the power cost generated by the circuit and the non-linear power amplifiers. In this work, we aim to optimize the hybrid transceiver to maximize the system capacity subject to the resultant non-linear power constraint. In order to address this problem, we first transform the original optimization problem to a more tractable problem based on the weighted minimum mean squared error (WMMSE) approach. Then, we propose a novel transceiver design algorithm based on the penalty dual decomposition (PDD) optimization framework to address this problem. Moreover, a simplified algorithm is also proposed by using linear approximation. The effectiveness of the proposed algorithm is verified by simulation results.
| Original language | English (US) |
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| Title of host publication | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509050192 |
| DOIs | |
| State | Published - Jul 1 2017 |
| Event | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore Duration: Dec 4 2017 → Dec 8 2017 |
Publication series
| Name | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings |
|---|---|
| Volume | 2018-January |
Other
| Other | 2017 IEEE Global Communications Conference, GLOBECOM 2017 |
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| Country/Territory | Singapore |
| City | Singapore |
| Period | 12/4/17 → 12/8/17 |
Bibliographical note
Funding Information:The work of Q. Shi is supported by the National Nature Science Foundation of China under grant 61671411 and 61631020. The work of Y. Cai and M. Zhao is supported in part by the National Natural Science Foundation of China under Grant 61471319, Zhejiang Provincial Natural Science Foundation of China under Grant LY14F010013, the Fundamental Research Funds for the Central Universities, the National Science Foundation of China under Grant 91538103 and the National High Technology Research and Development Program (863 Program) of China under Grant 2014AA01A707.
Publisher Copyright:
© 2017 IEEE.