Reconfigurable intelligent surface (RIS) appears as an interesting and promising technique for future wireless communication. Given its ability to adapt channel conditions through energy concentration, and interference cancellation through the use of a considerable amount of quasi-passive reflecting elements. In this paper, we discuss the potential applications of RIS in wireless networks operating within the energy efficiency (EE) and spectral efficiency (SE) framework. In this context, we develop energy-efficient solutions; both in terms of transmitting power allocation and number of reflective elements, while ensuring achievable spectral efficiency for the mobile station. The simulation results reveal that the number of RIS reflecting elements plays a crucial role in the overall performance. In addition, comparisons with relay-aided system are also performed to demonstrate the effectiveness of the proposed system in terms of EE and SE.
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Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
Zheng, Hongxia
Pan, Cunhua
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Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
Pan, Cunhua
Zhang, Chiya
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Harbin Inst Technol, Sch Elect & Informat Engn, Shenzhen 518055, Peoples R China
Peng Cheng Lab, Shenzhen 518066, Guangdong, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
Zhang, Chiya
Li, Xingquan
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Shenzhen Inst Informat Technol, Sch Microelect, Shenzhen 518000, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
Li, Xingquan
He, Chunlong
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Shenzhen Univ, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R China
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
He, Chunlong
Yatao, Yang
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Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China
Yatao, Yang
Dai, Ming
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Shenzhen Polytech, Sch Artificial Intelligence, Shenzhen 518000, Peoples R ChinaShenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China