2022
DOI: 10.1109/access.2022.3149095
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On Energy Efficiency of Wideband RIS-Aided Cell-Free Network

Abstract: Cell-free (CF) network is a favorable technique against inter-cell interferences to improve the network capacity. However, to further improve the network capacity, a large number of base stations (BSs) are required to be deployed with high cost and power consumption. To tackle this problem, an energyefficient technique called reconfigurable intelligent surface (RIS)-aided CF network has been recently proposed. By replacing some of the required power-hungry BSs with low-power RISs, the energy efficiency of CF n… Show more

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Cited by 15 publications
(12 citation statements)
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References 40 publications
(46 reference statements)
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“…[38]. In addition, to apply in wideband scenario, the same problem is also extended to the OFDM-based system [39] . Particularly, the authors in Ref.…”
Section: Ris-aided Multi-user Transmission Scenariomentioning
confidence: 99%
“…[38]. In addition, to apply in wideband scenario, the same problem is also extended to the OFDM-based system [39] . Particularly, the authors in Ref.…”
Section: Ris-aided Multi-user Transmission Scenariomentioning
confidence: 99%
“…The semidefinite relaxation (SDR) technique was applied to solve the passive beamforming problem. In [22], Zhang et al enhanced the EE of cell-free networks by replacing some of the required power-hungry BSs with low-power RISs. A zero-forcing beamforming scheme was implemented to optimise the active beamforming at the BSs, whereas the sequential programming method was adopted to realise passive beamforming at the RISs.…”
Section: Literature Review and Background Workmentioning
confidence: 99%
“…where ‖Q‖ * = ∑ l 𝜇 l (Q) denotes the nuclear norm of Q and 𝜇 l (Q) denotes the l -th largest eigenvalue. Note that Equation (22) indicates that when ‖Q‖ * − 𝜇 1 (Q) → 0, Q has only one non-zero eigenvalue, and then the rank-one constraint (21f) is satisfied. Hence, we transform problem 4 ′ to 5:…”
Section: Passive Beamforming Optimisation With Given W 1 and Wmentioning
confidence: 99%
“…In the relevant literature, to maximize the energy efficiency, Zhang et al [18] proposed a hybrid beamforming (HBF) scheme that decomposed the original optimization problem into two subproblems, i.e., the digital beamforming subproblem and the RIS-based analog beamforming subproblem. Furthermore, the authors of [19] proposed an alternate optimization (AO) algorithm to solve these two beamforming problems alternately by exploiting the zero-forcing (ZF) beamforming scheme and sequential programming (SP) method. An iterative precoding algorithm using Lagrangian transform and fractional programming (FP) was presented in [20] to maximize the energy efficiency of the worst user in a wideband RIS-aided cell-free network.…”
Section: Introductionmentioning
confidence: 99%