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

Faisal Naeem, Georges Kaddoum, Saud Khan, Komal S. Khan
<span title="2022-04-03">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.01152v1">arXiv:2204.01152v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sjy7hkp3bbcsxos7rfijggwbkm">fatcat:sjy7hkp3bbcsxos7rfijggwbkm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220516065934/https://arxiv.org/pdf/2204.01152v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/ad/96ad4289f0f63472cc7dde8f6bbedab1d99fe174.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.01152v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

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

Xiao Liu, Yuanwei Liu, Yue Chen
<span title="2020-10-06">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.02749v1">arXiv:2010.02749v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pnst77qhvzhizbyxlvupua5ne4">fatcat:pnst77qhvzhizbyxlvupua5ne4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201010115436/https://arxiv.org/pdf/2010.02749v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.02749v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

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
<span title="2020-12-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.11544v2">arXiv:2005.11544v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pg5unehsh5b7vcxkvg5sbgax3a">fatcat:pg5unehsh5b7vcxkvg5sbgax3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201218082602/https://arxiv.org/pdf/2005.11544v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ec/80/ec80251ab0d7ddbfc9d14daaa560c831101a0d7d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.11544v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Reconfigurable Intelligent Surfaces: Principles and Opportunities [article]

Yuanwei Liu, Xiao Liu, Xidong Mu, Tianwei Hou, Jiaqi Xu, Marco Di Renzo, Naofal Al-Dhahir
<span title="2021-05-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.03435v3">arXiv:2007.03435v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pynhymbavfhgrmqnhzjndxnthq">fatcat:pynhymbavfhgrmqnhzjndxnthq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710054552/https://arxiv.org/pdf/2007.03435v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.03435v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

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
<span title="2022-01-24">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.04561v2">arXiv:2108.04561v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yy2wmlweffft5b2wzefkrde6za">fatcat:yy2wmlweffft5b2wzefkrde6za</a> </span>
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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
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/onirm7ye2bfobnpwuwaopap5yu" style="color: black;">IEEE Journal on Selected Areas in Communications</a> </i> &nbsp;
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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jsac.2020.3001817">doi:10.1109/jsac.2020.3001817</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dr4wt6znafak3jax2nm6z4oooy">fatcat:dr4wt6znafak3jax2nm6z4oooy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200820113031/https://ieeexplore.ieee.org/ielx7/49/9171587/09171625.pdf?tp=&amp;arnumber=9171625&amp;isnumber=9171587&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/b7/24b7c1c5253c6a771ddba65dc80fb1df868ffcf7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jsac.2020.3001817"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

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

Qingqing Wu and Shuowen Zhang and Beixiong Zheng and Changsheng You and Rui Zhang
<span title="2020-07-07">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.02759v2">arXiv:2007.02759v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tp3ephs5hzhdva4h3s3e6tpkgi">fatcat:tp3ephs5hzhdva4h3s3e6tpkgi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710072539/https://arxiv.org/pdf/2007.02759v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6d/48/6d488f53c1f921c947b436ea9b4dbc11a9902aa6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.02759v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

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

Yanyu Cheng, Kwok Hung Li, Yuanwei Liu, Kah Chan Teh, George K. Karagiannidis
<span title="2020-10-31">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.00211v1">arXiv:2011.00211v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lj47mzqvdjd4nl4rurodc42ovm">fatcat:lj47mzqvdjd4nl4rurodc42ovm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106133014/https://arxiv.org/pdf/2011.00211v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2a/b8/2ab8740f6afc2f27b2b804a8fde57b35a73cc393.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.00211v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

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

Wen-Xuan Long, Rui Chen, Marco Moretti, Wei Zhang, Jiandong Li
<span title="2021-10-18">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.09114v1">arXiv:2110.09114v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/afwqge57j5fe5nhupfwyuwoywi">fatcat:afwqge57j5fe5nhupfwyuwoywi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211026024126/https://arxiv.org/pdf/2110.09114v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f9/bf/f9bfaea53d1498b837db86cdb978676ae7525a33.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.09114v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

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
<span title="2020-05-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.07794v2">arXiv:1912.07794v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r76gsjgpovhhbgexlkdd3y5pqu">fatcat:r76gsjgpovhhbgexlkdd3y5pqu</a> </span>
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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
<span title="2022-02-01">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.01292v3">arXiv:2110.01292v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c47cn4a42zdhtetjinozjtqb6e">fatcat:c47cn4a42zdhtetjinozjtqb6e</a> </span>
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Reconfigurable Intelligent Surface Aided Multi-user Communications: State-of-the-Art Techniques and Open Issues

Munyaradzi Munochiveyi, Arjun Chakravarthi Pogaku, Dinh-Thuan Do, Anh-Tu Le, Miroslav Voznak, Nhan Duc Nguyen
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Further, by realizing a cost-effective radio environment, RIS-aided communication can be implemented to be an appealing technology for future integration with other emerging wireless applications and communication  ...  Reconfigurable intelligent surface (RIS)-aided communication is considered as an exciting research topic in academic and industrial communities since it provides an emerging affordable solution to achieve  ...  With the similar systems designed in [53] , [55] , authors in [57] have proposed a machine learning approach based on double decaying deep-Q network (D-DQN) to maximize the energy efficiency of the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3107316">doi:10.1109/access.2021.3107316</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xkq2dayoabfhvixcfb25eobkq4">fatcat:xkq2dayoabfhvixcfb25eobkq4</a> </span>
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Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques [article]

Rawan Alghamdi, Reem Alhadrami, Dalia Alhothali, Heba Almorad, Alice Faisal, Sara Helal, Rahaf Shalabi, Rawan Asfour, Noofa Hammad, Asmaa Shams, Nasir Saeed, Hayssam Dahrouj (+2 others)
<span title="2020-09-06">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Finally, we identify numerous exciting open challenges for LIS-aided 6G wireless networks, including resource allocation problems, hybrid radio frequency/visible light communication (RF-VLC) systems, health  ...  In this context, researchers have been recently exploring LIS technology in depth as a means to achieve programmable, virtualized, and distributed wireless network infrastructures.  ...  In [12] , the work proposes a new approach for point-to-point MISO wireless networks using passive IRS.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.06541v2">arXiv:2006.06541v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4dms2bu5xjhsxadclntf2ubpra">fatcat:4dms2bu5xjhsxadclntf2ubpra</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201120183957/https://arxiv.org/pdf/2006.06541v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/d7/fbd7e0bb9656b2808dd267eb9121eeb456ea6465.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.06541v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

Rawan Alghamdi, Reem Alhadrami, Dalia Alhothali, Heba Almorad, Alice Faisal, Sara Helal, Rahaf Shalabi, Rawan Asfour, Noofa Hammad, Asmaa Shams, Nasir Saeed, Hayssam Dahrouj (+2 others)
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In [12] , the work proposes a new approach for point-topoint MISO wireless networks using passive IRS.  ...  In short, machine learning can prove to provide a powerful approach to improve the IRS-based communication systems performance.  ... 
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On the comparison of optimal NOMA and OMA in a paradigm shift of emerging technologies

Joydev Ghosh, In-Ho Ra, Saurabh Singh, Huseyin Haci, Khaled A. Al-Utaibi, Sadiq M. Sait
<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Simulation results confirm the theoretical findings and show that the two schemes can efficiently approach the optimal power allocation, minimization of power consumption, and optimal SE-EE trade-off,  ...  level for fifth-generation (5G) networks and beyond 5G (B5G) networks.  ...  The throughput and the delay of Buffer-aided cooperative NOMA were discussed in [3] , whereas the sensing accuracy under machine learning-enabled solutions was probed to deal with cooperative spectrum  ... 
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