Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/100532
Title: Bi-Objective Power Optimization of Radio Stripe Uplink Communications
Authors: Conceição, Filipe 
Gomes, Marco 
Silva, Vitor 
Dinis, Rui
Antunes, Carlos Henggeler 
Keywords: Cell-free (CF); Differential evolution (DE); Massive MIMO (mMIMO); Max–min; Max–sum; Multi-objective (MO); Power optimization; Radio stripe (RS)
Issue Date: 2022
Project: POCI-01-0145-FEDER-030588 
Lisboa-01-0145-FEDER-030588 
UIDB/50008/2020 
UIDP/50008/2020 
UIBD/00308/2020 
MASSIVE5G (PTDC/EEI-TEL/30588/2017) 
PhD grant 2020.08124.BD 
Serial title, monograph or event: Electronics (Switzerland)
Volume: 11
Issue: 6
Abstract: The radio stripe (RS) system is a practical implementation of cell-free mMIMO, in which a set of multi-antenna access points (APs) serves at the same time-frequency resources the user equipment (UE) in the network. The APs are sequentially connected in a stripe, sharing the same fronthaul link to the central processing unit. This work considers an uplink power optimization problem that aims to enhance the network spectral efficiency (SE) by considering two metrics—the max–min fairness and the max–sum rate. We employ a meta-heuristic based on the differential evolution algorithm to solve the bi-objective optimization problem. The SE performances of the full power along with the single-objective and multiple-objective scenarios are analyzed and compared for the optimal sequential linear processing detection scheme. The bi-objective approach is able to unveil the trade-offs to identify solution balancing the SE distribution resulting from the optimization of the max–min fairness and the max–sum rate objective functions.
URI: http://hdl.handle.net/10316/100532
ISSN: 2079-9292
DOI: 10.3390/electronics11060876
Rights: openAccess
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais
FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais

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