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Intelligent Reflective Surfaces for Wireless Networks: An Overview of Applications, Approached Issues, and Open Problems

Darian Pérez-Adán, Óscar Fresnedo, José P. Gonzalez-Coma, Luis Castedo
2021 Electronics  
In this paper, we provide a comprehensive literature overview on IRS technology, including its basic concepts and reconfiguration, as well as its design aspects and applications for wireless communication  ...  We also study the performance metrics and the setups considered in recent publications related to IRS and provide suggestions of future research lines based on still unexplored use cases in the state-of-the-art  ...  For adjusting the IRS phaseshift matrix, a deep deterministic policy gradient (DDPG) algorithm, which dynamically learns the resource allocation policy is defined.  ... 
doi:10.3390/electronics10192345 fatcat:n24ysswfrbe4vlu5kfhc5yopby

Intelligent Reflective Surface Deployment in 6G: A Comprehensive Survey [article]

Faisal Naeem, Georges Kaddoum, Saud Khan, Komal S. Khan
2022 arXiv   pre-print
Intelligent reflecting surfaces (IRSs) are considered a promising technology that can smartly reconfigure the wireless environment to enhance the performance of future wireless networks.  ...  This paper sheds light on the different deployment strategies for IRSs in future terrestrial and non-terrestrial networks.  ...  coordinates allocated power NOMA Indoor FL-DDPG User position, Motion, Throughput, Proposed a NOMA en- [74] downlink IRS position, IRS phase sum rate hanced wireless network IRS MISO fading matrix shift  ... 
arXiv:2204.01152v1 fatcat:sjy7hkp3bbcsxos7rfijggwbkm

Aerial Intelligent Reflecting Surfaces in MIMO-NOMA Networks: Fundamentals, Potential Achievements, and Challenges

Brena Kelly S. Lima, Arthur Sousa De Sena, Rui Dinis, Daniel Benevides Da Costa, Marko Beko, Rodolfo Oliveira, Merouane Debbah
2022 IEEE Open Journal of the Communications Society  
In order to explore some of these potentials, this paper provides a comprehensive discussion about the interplay of aerial IRS in MIMO-NOMA (AIRS-NOMA) networks, as well its architecture, functionality  ...  In parallel, intelligent reconfigurable surfaces (IRSs) have been widely pointed out as an auspicious solution to further improve spectral efficiency, coverage range, and connectivity.  ...  In [51] , a three-step approach based on machine learning was proposed to maximize the sum-rate of all users in a TIRS-aided multiple-input single-output (MISO)-NOMA network by jointly optimizing the  ... 
doi:10.1109/ojcoms.2022.3182223 fatcat:labuzk6bczef5defcpmyrdrv34

Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks [article]

Xiao Liu, Yuanwei Liu, Yue Chen
2020 arXiv   pre-print
In contrast to the conventional DQN algorithm, the decaying learning rate is leveraged in the proposed D-DQN based algorithm for attaining a tradeoff between accelerating training speed and converging  ...  order and power allocation policy, the RIS-NOMA case consumes 11.7% less energy than the RIS-OMA case.  ...  In [10] , a multi-agent reinforcement learning (RL) algorithm was proposed for tackling the dynamic resource allocation problem in multi-UAV aided wireless networks.  ... 
arXiv:2010.02749v1 fatcat:pnst77qhvzhizbyxlvupua5ne4

Joint Deployment and Multiple Access Design for Intelligent Reflecting Surface Assisted Networks [article]

Xidong Mu and Yuanwei Liu and Li Guo and Jiaru Lin and Robert Schober
2020 arXiv   pre-print
The fundamental intelligent reflecting surface (IRS) deployment problem is investigated for IRS-assisted networks, where one IRS is arranged to be deployed in a specific region for assisting the communication  ...  The non-convex optimization problems obtained for NOMA and FDMA are solved by employing monotonic optimization and semidefinite relaxation to find a performance upper bound.  ...  Hence, this problem is left for future work where advanced machine learning based tools could be exploited.  ... 
arXiv:2005.11544v2 fatcat:pg5unehsh5b7vcxkvg5sbgax3a

Reconfigurable Intelligent Surfaces: Principles and Opportunities [article]

Yuanwei Liu, Xiao Liu, Xidong Mu, Tianwei Hou, Jiaqi Xu, Marco Di Renzo, Naofal Al-Dhahir
2021 arXiv   pre-print
of machine learning to RIS-enhanced wireless networks, as well as the integration of RISs with other emerging technologies.  ...  Furthermore, we survey existing research contributions that apply machine learning for tackling challenges in dynamic scenarios, such as random fluctuations of wireless channels and user mobility in RIS-enhanced  ...  , such as unmanned systems, non-orthogonal multiple access (NOMA) in RIS-enhanced wireless networks and machine learning in RIS-enhanced wireless networks.  ... 
arXiv:2007.03435v3 fatcat:pynhymbavfhgrmqnhzjndxnthq

Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G [article]

Yuanwei Liu and Shuowen Zhang and Xidong Mu and Zhiguo Ding and Robert Schober and Naofal Al-Dhahir and Ekram Hossain and Xuemin Shen
2022 arXiv   pre-print
Furthermore, we discuss advanced mathematical tools for facilitating the design of NOMA communication systems, including conventional optimization approaches and new machine learning techniques.  ...  As the research on NGMA is in a very early stage, in this paper, we explore the evolution of NGMA with a particular focus on non-orthogonal multiple access (NOMA), i.e., the transition from NOMA to NGMA  ...  RL approaches have been widely employed for solving resource allocation problems in NOMA networks [207] .  ... 
arXiv:2108.04561v2 fatcat:yy2wmlweffft5b2wzefkrde6za

Guest Editorial Special Issue on Multiple Antenna Technologies for Beyond 5G-Part—I

Jiayi Zhang, Emil Bjornson, Michail Matthaiou, Derrick Wing Kwan Ng, Hong Yang, David J. Love
2020 IEEE Journal on Selected Areas in Communications  
He performs research on MIMO communications, radio resource allocation, machine learning for communications, and energy efficiency.  ...  MISO schemes and non-clustered MISO-NOMA.  ...  He is a member of the Executive Committee for the National Spectrum Consortium. He is a fellow of the Royal Statistical Society and has been inducted into the Tau  ... 
doi:10.1109/jsac.2020.3001817 fatcat:dr4wt6znafak3jax2nm6z4oooy

Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial [article]

Qingqing Wu and Shuowen Zhang and Beixiong Zheng and Changsheng You and Rui Zhang
2020 arXiv   pre-print
It is thus expected that the new IRS-aided hybrid wireless network comprising both active and passive components will be highly promising to achieve a sustainable capacity growth cost-effectively in the  ...  In this paper, we provide a tutorial overview of IRS-aided wireless communication to address the above issues, and elaborate its reflection and channel models, hardware architecture and practical constraints  ...  IRSs that are deployed in the network in a distributed manner.  ... 
arXiv:2007.02759v2 fatcat:tp3ephs5hzhdva4h3s3e6tpkgi

Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends [article]

Yijie Mao, Onur Dizdar, Bruno Clerckx, Robert Schober, Petar Popovski, H. Vincent Poor
2022 arXiv   pre-print
a wide range of network loads (including both underloaded and overloaded regimes) and user channel conditions.  ...  An in-depth discussion of future RSMA research challenges is also provided to inspire future research on RSMA-aided wireless communication for beyond 5G systems.  ...  Vk is chosen as Vk = V k (Λ T k Λ k + Qσ 2 n,k I) − 1 2 . 3) Resource Allocation by Machine Learning: Apart from optimization based resource allocation designs, machine learning methods have also been  ... 
arXiv:2201.03192v2 fatcat:z3ujjbqwxzc5dbgu3ganoqomae

Non-Orthogonal Multiple Access (NOMA) with Multiple Intelligent Reflecting Surfaces [article]

Yanyu Cheng, Kwok Hung Li, Yuanwei Liu, Kah Chan Teh, George K. Karagiannidis
2020 arXiv   pre-print
In this paper, non-orthogonal multiple access (NOMA) networks assisted by multiple intelligent reflecting surfaces (IRSs) with discrete phase shifts are investigated, in which each user device (UD) is  ...  It is demonstrated that NOMA outperforms OMA in multi-IRS assisted networks. Furthermore, it is shown that the use of discrete phase shifts does not degrade the diversity order.  ...  In [44] , Liu et al. adopted machine learning approaches to jointly designing power allocation, passive beamforming, and the position of IRS for IRS-assisted NOMA systems.  ... 
arXiv:2011.00211v1 fatcat:lj47mzqvdjd4nl4rurodc42ovm

A Promising Technology for 6G Wireless Networks: Intelligent Reflecting Surface

Wenxuan Long, Rui Chen, Marco Moretti, Wei Zhang, Jiandong Li
2021 Journal of Communications and Information Networks  
In this paper, we first give a blueprint of the next 6G networks including the vision, typical scenarios, and key performance indicators (KPIs).  ...  At last, we summarize the challenges of IRS application and deployment in 6G networks. As a timely review of IRS, our summary will be Manuscript  ...  In Ref. [108], machine learning approaches are used in the IRSassisted NOMA network to achieve IRS phase shift control, joint network deployment, and power allocation simultaneously for maximizing energy  ... 
doi:10.23919/jcin.2021.9387701 fatcat:7m3s26ew7neyrmikrmmhawcz7e

A Promising Technology for 6G Wireless Networks: Intelligent Reflecting Surface [article]

Wen-Xuan Long, Rui Chen, Marco Moretti, Wei Zhang, Jiandong Li
2021 arXiv   pre-print
As a timely review of IRS, our summary will be of interest to both researchers and practitioners engaging in IRS for 6G networks.  ...  In this paper, we first give a blueprint of the next 6G networks including the vision, typical scenarios and key performance indicators (KPIs).  ...  In Ref. [108], machine learning approaches are used in the IRSassisted NOMA network to achieve IRS phase shift control, joint network deployment, and power allocation simultaneously for maximizing energy  ... 
arXiv:2110.09114v1 fatcat:afwqge57j5fe5nhupfwyuwoywi

Towards Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey [article]

Shimin Gong, Xiao Lu, Dinh Thai Hoang, Dusit Niyato, Lei Shu, Dong In Kim, Ying-Chang Liang
2020 arXiv   pre-print
This paper presents a literature review on recent applications and design aspects of the intelligent reflecting surface (IRS) in the future wireless networks.  ...  We overview different performance metrics and analytical approaches to characterize the performance improvement of IRS-assisted wireless networks.  ...  . 1) Learning Approach for Passive Beamforming: Different from the alternating optimization commonly used in the literature, machine learning approaches can be more appealing for the IRS to realize agile  ... 
arXiv:1912.07794v2 fatcat:r76gsjgpovhhbgexlkdd3y5pqu

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications [article]

Beixiong Zheng, Changsheng You, Weidong Mei, Rui Zhang
2022 arXiv   pre-print
In this paper, we provide a comprehensive survey on the up-to-date research in IRS-aided wireless communications, with an emphasis on the promising solutions to tackle practical design issues.  ...  wireless channel impairments in a proactive manner.  ...  and extended coverage. [30] 2021/Survey Performance analysis & system designs Provide a survey on the performance analysis, beamforming and resource allocation, as well as machine learning for RIS-aided  ... 
arXiv:2110.01292v3 fatcat:c47cn4a42zdhtetjinozjtqb6e
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