Wireless Information and Power Transfer Based on Generalized Triangular Decomposition

Ahmed Al-Baidhani, Mohammed Benaissa, Mikko Vehkapera

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)


In this paper, a new approach, based on the generalized triangular decomposition (GTD), is proposed for simultaneous wireless information and power transfer (SWIPT) in the spatial domain for a point-to-point multiple-input-multiple-output (MIMO) system. The approach exploits the structure of the GTD to allow the transmitter to use each of the strongest subchannels jointly for energy harvesting and information exchange while the receiver has the ability to harvest energy or decode information from each different received subchannel. An optimal solution is developed in the paper for SWIPT based on GTD that jointly obtains the optimal subchannels assignment and minimizes the total transmitted power for given information rate and energy harvesting constraints under a limited available power per each subchannel at the transmitter. Both the theoretical and numerical results presented in this paper show that our proposed approach significantly outperforms the state of the art spatial domain SWIPT systems based on the singular value decomposition (SVD).
Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference, GLOBECOM 2018
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-5386-4727-1, 978-1-5386-6976-1
ISBN (Print)978-1-5386-4728-8
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Publication series



Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi


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