Reference : Multigroup Multicast Precoding for Energy Optimization in SWIPT Systems with Heteroge...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/42083
Multigroup Multicast Precoding for Energy Optimization in SWIPT Systems with Heterogeneous Users
English
Gautam, Sumit mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Lagunas, Eva mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bandi, Ashok mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Sharma, Shree Krishna mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Vu, Thang Xuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Kisseleff, Steven mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Dec-2019
IEEE Communications Society Magazine
IEEE
IEEE Open Journal of the Communications Society
Yes
International
0148-9615
[en] Simultaneous Wireless Information and Power Transmission (SWIPT), ; multigroup multicast ; precoding
[en] The key to developing future generations of wireless communication systems lies in the expansion of extant methodologies, which ensures the coexistence of a variety of devices within a system. In this paper, we assume several multicasting (MC) groups comprising three types of heterogeneous users including Information Decoding (ID), Energy Harvesting (EH) and both ID and EH. We present a novel framework to investigate the multi-group (MG) - MC precoder designs for three different scenarios, namely, Separate Multicast and Energy Precoding Design (SMEP), Joint Multicast and Energy Precoding Design (JMEP), and Per-User Information and/or Energy Precoding Design (PIEP). In the considered system, a multi-antenna source transmits the relevant information and/or energy to the groups of corresponding receivers using more than one MC streams. The data processing users employ the conventional ID receiver architectures, the EH users make use of a non-linear EH module for energy acquisition, while the users capable of performing both ID and EH utilize the separated architecture with disparate ID and non-linear EH units. Our contribution is threefold. Firstly, we propose an optimization framework to i) minimize the total transmit power and ii) to maximize the sum harvested energy, the two key performance metrics of MG-MC systems. The proposed framework allows the analysis of the system under arbitrary given quality of service and harvested energy requirements. Secondly, to deal with the non-convexity of the formulated problems, we transform the original problems respectively into equivalent forms, which can be effectively solved by semi-definite relaxation (SDR) and alternating optimization. The convergence of the proposed algorithms is analytically guaranteed. Thirdly, a comparative study between the proposed schemes is conducted via extensive numerical results, wherein the benefits of adopting SMEP over JMEP and PIEP models are discussed
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Luxembourg National Research Fund (FNR), Luxembourg, under the FNRFNRS bilateral - InWIP-NET: Integrated Wireless Information and Power Networks (R-AGR-0700-10-V)
InWIP-NET: Integrated Wireless Information and Power Networks (R-AGR-0700-10-V)
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/42083
10.1109/OJCOMS.2019.2962077
FnR ; FNR11037543 > Bjorn Ottersten > InWIPNET > Integrated Wireless Information and Power Networks > 01/10/2016 > 30/09/2020 > 2015

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