Reference : MISO interference channel with QoS and RF energy harvesting constraints

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/14897

Title :	MISO interference channel with QoS and RF energy harvesting constraints
Language :	English
Author, co-author :	Krikidis, I. []
	Timotheou, S. []
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2013
Main document title :	Communications (ICC), 2013 IEEE International Conference on
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE International Conference on Communications (ICC)
Event date :	from 10-06-2013 to 14-06-2013
Event organizer :	IEEE
Event place (city) :	Sydney
Event country :	Australia
Abstract :	[en] This paper deals with a multiple-input single-output (MISO) network where the receivers are characterized by both quality-of-service (QoS) and radio-frequency (RF) energy harvesting (EH) constraints. We consider the power splitting RF-EH technique where each receiver divides the received signal into two parts a) the first part for information decoding and b) the second part for battery charging. The minimum required energy that supports both the QoS and the RF-EH constraints at each receiver is formulated by an optimization problem and is discussed for two standard beamforming designs, the zero-forcing (ZF) and the maximum ratio transmission (MRT). The optimal solution for ZF beamforming is derived in closed-form, while optimization algorithms based on second-order cone programming (SOCP) and Linear Programming (LP) are developed for MRT beamforming to solve the problem. Numerical results indicate that MRT significantly outperforms ZF in terms of transmitted power, as the associated cross-interference becomes beneficial from an EH standpoint, while ZF always ensures the existence of a solution for the optimization problem considered.
Target :	Researchers ; Professionals ; Students ; Others
Permalink :	http://hdl.handle.net/10993/14897
DOI :	10.1109/ICC.2013.6655220

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