Robust Energy Harvesting FD Transmission: Interference Suppression Versus Exploitation

Mahmoud T. Kabir; Muhammad R. A. Khandaker; Christos Masouros

doi:10.1109/LCOMM.2018.2848929

Robust Energy Harvesting FD Transmission: Interference Suppression Versus Exploitation

Mahmoud T. Kabir, Muhammad R. A. Khandaker, Christos Masouros

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

13 Downloads (Pure)

Abstract

We explore robust designs to jointly minimize the total uplink and downlink transmit power and maximize the total harvested energy in a full duplex system with imperfect channel state information. We first formulate an optimization, where multiuser interference (MUI) is suppressed. We then propose an optimization, where the MUI is rather exploited, both as useful energy and information power, for guaranteeing quality of service and energy harvesting constraints. To tackle the non-convexity of the formulations, we employ convex relaxations. Simulation results show the effectiveness of interference exploitation compared with interference suppression in terms of both power consumption and energy transfer.

Original language	English
Pages (from-to)	1866-1869
Number of pages	4
Journal	IEEE Communications Letters
Volume	22
Issue number	9
Early online date	19 Jun 2018
DOIs	https://doi.org/10.1109/LCOMM.2018.2848929
Publication status	Published - 1 Sep 2018

Keywords

Full duplex (FD)
interference exploitation
multi-objective optimization
robust design

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2018.2848929

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abstract = "We explore robust designs to jointly minimize the total uplink and downlink transmit power and maximize the total harvested energy in a full duplex system with imperfect channel state information. We first formulate an optimization, where multiuser interference (MUI) is suppressed. We then propose an optimization, where the MUI is rather exploited, both as useful energy and information power, for guaranteeing quality of service and energy harvesting constraints. To tackle the non-convexity of the formulations, we employ convex relaxations. Simulation results show the effectiveness of interference exploitation compared with interference suppression in terms of both power consumption and energy transfer.",

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