2021
DOI: 10.3390/electronics10111307
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On the Trade-Off between Energy Efficiency and Spectral Efficiency in RIS-Aided Multi-User MISO Downlink

Abstract: As reconfigurable intelligent surfaces (RISs) have been gradually brought to reality, a large amount of research has been conducted to investigate the immense benefits of RISs. That is because RISs enable us to artificially direct the radio wave propagating through the environment at a relatively low cost. This paper investigates the trade-off between spectral efficiency (SE) and energy efficiency (EE) in the RIS-aided multi-user multiple-input single-output downlink. We develop an optimization framework for d… Show more

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Cited by 11 publications
(5 citation statements)
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“…In RIS based transmission systems, it is assumed that RIS has perfect knowledge of channel phases of BS-RIS-U k link, which represents the best case scenario for system operation and serves as a performance benchmark for real-world applications [3], [6]. In this configuration, the RIS can adjust its phases with respect to a single user at a given point of time [35]. In such a RIS assisted downlink system, the optimal choice of φ l that maximizes the instantaneous signal to noise ratio (SNR) of U k is given by φ l = θ h l + θ g l,k .…”
Section: A Ris Assisted Downlink Modelmentioning
confidence: 99%
“…In RIS based transmission systems, it is assumed that RIS has perfect knowledge of channel phases of BS-RIS-U k link, which represents the best case scenario for system operation and serves as a performance benchmark for real-world applications [3], [6]. In this configuration, the RIS can adjust its phases with respect to a single user at a given point of time [35]. In such a RIS assisted downlink system, the optimal choice of φ l that maximizes the instantaneous signal to noise ratio (SNR) of U k is given by φ l = θ h l + θ g l,k .…”
Section: A Ris Assisted Downlink Modelmentioning
confidence: 99%
“…Considering the rays between different users and the BS follow i.i.d. distribution, E(ξ) and Var(ξ) are converted to (9) and (10). Therefore, we need to derive E(w * ms ), E(w ms ), and E(w * ms w m s ) in ( 9) and (10) to get E(ξ) and Var(ξ), where E φ 0 (•) is the expectation operator for mean azimuth AOAs of different users.…”
Section: Statistical Property Analysis Under Generalized Angle Distri...mentioning
confidence: 99%
“…[1][2][3]. To meet the above requirements, one of the most promising solutions is massive MIMO, which can further utilize the spatial resource [4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…wireless network architecture [20][21][22][23][24] Single RIS; multi-RIS collaboration; based on spectrum sharing; based on non-spectrum sharing; 3D beamforming; combination with different networks, such as MIMO, OFDM.…”
Section: Design Of Ris-basedmentioning
confidence: 99%