Citation:
12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP), 20-22, July 2020, (Online), 6 pp.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
European Commission Ministerio de Economía y Competitividad (España)
Sponsor:
This work has received funding from the European Union (EU) Horizon
2020 research and innovation programme under the Marie Sklodowska-Curie
ETN TeamUp5G, grant agreement No. 813391. Also, this work has been
supported in part by the Spanish National Project TERESA-ADA, funded by
(MINECO/AEI/FEDER, UE) under grant TEC2017-90093-C3-2-R.
Project:
info:eu-repo/grantAgreement/EC/H2020/813391/TeamUp5G Gobierno de España. TEC2017-90093-C3-2-R/TERESA-ADA
Keywords:
Interference alignment
,
Simultaneous wireless information and power transfer
,
Energy harvesting
,
Green communications
Energy-efficient interference alignment (IA) algorithms that simultaneously satisfy continuous coverage and green communications requirements are an open problem in 5G cellular networks. IA is one of the most promising techniques to eliminate interference. HowEnergy-efficient interference alignment (IA) algorithms that simultaneously satisfy continuous coverage and green communications requirements are an open problem in 5G cellular networks. IA is one of the most promising techniques to eliminate interference. However, a recent assumption in green communications is to utilize interference signals as an energy supply for electronic devices. In this scenario, simultaneous wireless information and power transfer (SWIPT) schemes are a common technique to harvest energy from wireless signals. This paper addresses a performance comparison of different IA algorithms to guarantee the best trade-off between sum-rate and the amount of harvested energy, with an in-depth analysis.[+][-]
Description:
Proceeding of: 12th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing, (CSNDSP), 20-22, July 2020, (Online).