Energy efficient transmission in underlay massive MIMO systems with probabilistic guarantees

Nikolaos I. Miridakis, Theodoros Tsiftsis, George C. Alexandropoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publication2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538643280
DOIs
Publication statusPublished - Jul 3 2018
Event2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Other

Other2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
CountryUnited States
CityKansas City
Period5/20/185/24/18

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

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