Abstract
We consider an underlay massive Multiple-Input Multiple-Output (MIMO) cognitive radio system possessing only statistical knowledge for the primary system, where the Secondary Transmitter (ST) operates in a spatial multiplexing mode, while the secondary receiver employs zero-forcing detection. Assuming that ST is capable of energy harvesting, we present the optimal power allocation for the multiple transmitted data streams as well as the effective number of transmit antennas meeting both the maximum allowable outage threshold for the primary system and a constraint related to the ST energy consumption effectiveness. The tradeoff between transmit-and-harvest antennas at ST and the average channel capacity of the secondary system are analytically discussed. Representative numerical and simulation results corroborate the effectiveness of the proposed scheme and presented analysis, while some useful engineering insights are provided.
Original language | English |
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Title of host publication | 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781538643280 |
DOIs | |
Publication status | Published - Jul 3 2018 |
Event | 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States Duration: May 20 2018 → May 24 2018 |
Other
Other | 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 |
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Country | United States |
City | Kansas City |
Period | 5/20/18 → 5/24/18 |
Keywords
- Cognitive radio
- Multiple-input multiple-output (MIMO)
- Nonlinear energy harvesting
- Optimal power allocation
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture