Article (Périodiques scientifiques)
Weighted Sum-SINR and Fairness Optimization for SWIPT-Multigroup Multicasting Systems with Heterogeneous Users
GAUTAM, Sumit; LAGUNAS, Eva; SHARMA, Shree Krishna et al.
2020In IEEE Open Journal of the Communications Society
Peer reviewed vérifié par ORBi
 

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Mots-clés :
Multi-group (MG) multicast (MC) precoding; simultaneous wireless information and power transfer (SWIPT); system fairness; weighted sum-SINR optimization
Résumé :
[en] The development of next generation wireless communication systems focuses on the expansion of existing technologies, while ensuring an accord between various devices within a system. In this paper, we target the aspect of precoder design for simultaneous wireless information and power transmission (SWIPT) in a multi-group (MG) multicasting (MC) framework capable of handling heterogeneous types of users, viz., information decoding (ID) specific, energy harvesting (EH) explicit, and/or both ID and EH operations concurrently. Precoding is a technique well-known for handling the inter-user interference in multi-user systems, however, the joint design with SWIPT is not yet fully exploited. Herein, we investigate the potential benefits of having a dedicated precoder for the set of users with EH demands, in addition to the MC precoding. We study the system performance of the aforementioned system from the perspectives of weighted sum of signal-to-interference-plus-noise-ratio (SINR) and fairness. In this regard, we formulate the precoder design problems for (i) maximizing the weighted sum of SINRs at the intended users and (ii) maximizing the minimum of SINRs at the intended users; both subject to the constraints on minimum (non-linear) harvested energy, an upper limit on the total transmit power and a minimum SINR required to close the link. We solve the above-mentioned problems using distinct iterative algorithms with the help of semi-definite relaxation (SDR) and slack-variable replacement (SVR) techniques, following suitable transformations pertaining the problem convexification. The main novelty of the proposed approach lies in the ability to jointly design the MC and EH precoders for serving the heterogeneously classified ID and EH users present in distinct groups, respectively. We illustrate the comparison between the proposed weighted sum-SINR and fairness models via simulation results, carried out under various parameter values and operating conditions.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
GAUTAM, Sumit ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
LAGUNAS, Eva  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
SHARMA, Shree Krishna ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
OTTERSTEN, Björn  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Vandendorpe, Luc;  Université Catholique de Louvain - UCL > Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTM)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Weighted Sum-SINR and Fairness Optimization for SWIPT-Multigroup Multicasting Systems with Heterogeneous Users
Date de publication/diffusion :
septembre 2020
Titre du périodique :
IEEE Open Journal of the Communications Society
eISSN :
2644-125X
Maison d'édition :
Institute of Electrical and Electronics Engineers (IEEE)
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Security, Reliability and Trust
Projet FnR :
FNR11037543 - Integrated Wireless Information And Power Networks, 2015 (01/10/2016-30/09/2020) - Bjorn Ottersten
Disponible sur ORBilu :
depuis le 21 septembre 2020

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