The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
Open accessAbstract
In this paper, we consider the potential of data transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous surface of electromagnetically active material. We refer to this as a large intelligent surface (LIS), which is a newly proposed concept and conceptually goes beyond contemporary massive MIMO technology. First, we consider capacities of single-antenna autonomous terminals communicating to the LIS where the entire surface is used as a receiving antenna array in a perfect line-of-sight propagation environment. Under the condition that the surface area is sufficiently large, the received signal after a matched-filtering operation can be closely approximated by a sinc-function-like intersymbol interference channel. Second, we analyze a normalized capacity measured per unit surface, for a fixed transmit power per volume unit with different terminal deployments. As terminal density increases, the limit of the normalized capacity [nats/s/Hz/volume-unit] achieved when wavelength λ approaches zero is equal to half of the transmit power per volume unit divided by the noise spatial power spectral density. Third, we show that the number of independent signal dimensions that can be harvested per meter deployed surface is 2/λ for one-dimensional terminal deployment, and π/λ2per square meter for two- and three-dimensional terminal deployments. Finally, we consider implementations of the LIS in the form of a grid of conventional antenna elements, and show that the sampling lattice that minimizes the surface area and simultaneously obtains one independent signal dimension for every spent antenna is the hexagonal lattice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In addition, RIS can be integrated with transceivers to make use of the entire surface for both transmission and reception, as shown in Fig. 2(a), enabling holographic MIMO (HMIMO) communications [49], [50].”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [50]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“To characterize the fundamental performance limits of HMIMO communications, Hu et al. [50] considered a LoS propagation environment and demonstrated that the maximum spatial DoF is π/λ 2 per square meter for 2D terminal deployments.”
From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · The MIT Press eBooks · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 50,387
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
W., J. W., Abramowitz, M., & Stegun, I. A. (1965) · Mathematics of Computation · doi:10.2307/2004114 · Cited by 19,788
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Capacity of Multi‐antenna Gaussian Channels
Telatar, E. (1999) · European Transactions on Telecommunications · doi:10.1002/ett.4460100604 · Cited by 11,392
Goldsmith, A. J. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511841224 · Cited by 10,988
On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas
Foschini, G. J., & Gans, M. J. (1998) · Wireless Personal Communications · doi:10.1023/a:1008889222784 · Cited by 10,145
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106
Massive MIMO for next generation wireless systems
Larsson, E. G., Edfors, O., Tufvesson, F., & Marzetta, T. L. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736761 · Cited by 6,797
Self-citationNoncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
Marzetta, T. L. (2010) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2010.092810.091092 · Cited by 6,571
Optimal decoding of linear codes for minimizing symbol error rate (Corresp.)
Bahl, L. R., Cocke, J., Jelinek, F., & Raviv, J. (1974) · IEEE Transactions on Information Theory · doi:10.1109/tit.1974.1055186 · Cited by 5,211
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 863
Zhao, M., Liu, A., Wan, Y., & Zhang, R. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3072382 · Cited by 66
Software-Defined Reconfigurable Intelligent Surfaces: From Theory to End-to-End Implementation
Liaskos, C., Mamatas, L., Pourdamghani, A., Tsioliaridou, A., Ioannidis, S., Pitsillides, A., Schmid, S., & Akyildiz, I. F. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3169917 · Cited by 69
Rehman, H. U., Bellili, F., Mezghani, A., & Hossain, E. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3094509 · Cited by 62
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction
Abuzainab, N., Alrabeiah, M., Alkhateeb, A., & Sagduyu, Y. E. (2021) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops50388.2021.9473804 · Cited by 60
STAR-RIS Aided Integrated Sensing and Communication Over High Mobility Scenario
Li, M., Zhang, S., Ge, Y., Li, Z., Gao, F., & Fan, P. (2024) · IEEE Transactions on Communications · doi:10.1109/tcomm.2024.3381725 · Cited by 60
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Shehab, M., Çiftler, B. S., Khattab, T. M., Abdallah, M. M., & Trinchero, D. (2022) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2022.3165590 · Cited by 60
Ma, Z., Wu, Y., Xiao, M., Liu, G., & Zhang, Z. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3111646 · Cited by 59
Cao, Y., Lv, T., Lin, Z., & Ni, W. (2021) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2021.3064973 · Cited by 58
Reconfigurable intelligent surface-aided wireless communications: An overview
Siddiqi, M. Z., & Mir, T. (2022) · Intelligent and Converged Networks · doi:10.23919/icn.2022.0007 · Cited by 58
Secure Active and Passive Beamforming in IRS-Aided MIMO Systems
Asaad, S., Wu, Y., Bereyhi, A., Müller, R. R., Schaefer, R. F., & Poor, H. V. (2022) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2022.3159108 · Cited by 58
Akrout, M., Feriani, A., Bellili, F., Mezghani, A., & Hossain, E. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3326399 · Cited by 72
Reconfigurable Intelligent Surface Aided Mobile Edge Computing
Bai, T., Pan, C., Han, C. S., & Hanzo, L. (2021) · IEEE Wireless Communications · doi:10.1109/mwc.001.2100142 · Cited by 57
Zhang, Q., Saad, W., & Bennis, M. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3107520 · Cited by 57
Li, X., Fang, J., Gao, F., & Li, H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.00728 · Cited by 57
Tasolamprou, A. C., Pitilakis, A., Abadal, S., Tsilipakos, O., Timoneda, X., Taghvaee, H., Mirmoosa, M. S., Liu, F., Liaskos, C., Tsioliaridou, A., et al. (2019) · IEEE Access · doi:10.1109/access.2019.2933355 · Cited by 56
Wireless Information and Energy Transfer in the Era of 6G Communications
Psomas, C., Ntougias, K., Shanin, N., Xu, D., Mayer, K. M., Tran, N. M., Cottatellucci, L., Choi, K. W., Kim, D. I., Schober, R., et al. (2024) · Proceedings of the IEEE · doi:10.1109/jproc.2024.3395178 · Cited by 55
Feng, Z., Clerckx, B., & Zhao, Y. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3139440 · Cited by 55
Sparse Bayesian Learning Based Channel Extrapolation for RIS Assisted MIMO-OFDM
Xu, X., Zhang, S., Gao, F., & Wang, J. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3184640 · Cited by 53
Chen, Y., Cheng, W., & Zhang, W. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3336223 · Cited by 53
Distributed Receiver Processing for Extra-Large MIMO Arrays: A Message Passing Approach
Amiri, A., Rezaie, S., Manchón, C. N., & de Carvalho, E. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3114380 · Cited by 53
Rate-Region Characterization and Channel Estimation for Cell-Free Symbiotic Radio Communications
Dai, Z., Li, R., Xu, J., Zeng, Y., & Jin, S. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3227237 · Cited by 52
Extra DoF of Near-Field Holographic MIMO Communications Leveraging Evanescent Waves
Ji, R., Chen, S., Huang, C., Yang, J., Sha, W. E. I., Zhang, Z., Yuen, C., & Debbah, M. A. (2023) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2023.3234003 · Cited by 52
An, J., Yuen, C., Huang, C., Debbah, M. A., Poor, H. V., & Hanzo, L. (2023) · IEEE Communications Letters · doi:10.1109/lcomm.2023.3278682 · Cited by 52
Zhang, R., Chen, G., Cheng, L., Guan, X., Wu, Q., Wu, W., & Zhang, R. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3551144 · Cited by 52
RISe of Flight: RIS-Empowered UAV Communications for Robust and Reliable Air-to-Ground Networks
Mursia, P., Devoti, F., Sciancalepore, V., & Costa‐Pérez, X. (2021) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2021.3092604 · Cited by 51
Intelligent Reflect Surface Aided Secure Transmission in MIMO Channel With SWIPT
Niu, H., & Ni, L. (2020) · IEEE Access · doi:10.1109/access.2020.3032759 · Cited by 50
High-Resolution WiFi Imaging With Reconfigurable Intelligent Surfaces
He, Y., Zhang, D., & Chen, Y. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3210686 · Cited by 50
Singh, K. K., Wang, P.-C., Biswas, S., Singh, S. K., Mumtaz, S., & Li, C. (2022) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2022.3223441 · Cited by 50
Reconfigurable Intelligent Surfaces and Capacity Optimization: A Large System Analysis
Moustakas, A. L., Alexandropoulos, G. C., & Debbah, M. A. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3265420 · Cited by 50
Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays
Ramezani, P., & Björnson, E. (2023) · Signals and communication technology · doi:10.1007/978-3-031-37920-8_12 · Cited by 50
Liu, Y., Zhao, J., Xiong, Z., Niyato, D. T., Yuen, C., Pan, C., & Huang, B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.07449 · Cited by 50
Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond
Jabbar, A., Abbasi, Q. H., Anjum, N., Kalsoom, T., Ramzan, N., Ahmed, S., Rafi-ul-Shan, P. M., Falade, O. P., Imran, M. A., & Rehman, M. U. (2022) · Sensors · doi:10.3390/s22072688 · Cited by 49
Backscatter technologies and the future of internet of things: Challenges and opportunities
Yao, C., Liu, Y., Wei, X., Wang, G., & Gao, F. (2020) · Intelligent and Converged Networks · doi:10.23919/icn.2020.0013 · Cited by 49
Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission
Liu, K., Zhang, Z., Dai, L., & Hanzo, L. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3124953 · Cited by 49
Luo, S., Yang, P., Che, Y., Yang, K., Wu, K., Teh, K. C., & Li, S. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3096965 · Cited by 48
Asymptotic Analysis of Large Intelligent Surface Assisted MIMO CommunicationPreprint
Nadeem, Q.-U.-A., Kammoun, A., Chaaban, A., Debbah, M. A., & Alouini, M. (2019) · arXiv (Cornell University) · Cited by 48
Lian, Z., Su, Y., Wang, Y., Ji, P., Jin, B., Zhang, Z., & Xie, Z. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3234555 · Cited by 47
Reconfigurable Intelligent Surface-Enabled Vehicular Networks: A Physical Layer Security Perspective
Makarfi, A. U., Rabie, K. M., Ihsan, A., Kaiwartya, O., Adhikari, K., Li, X., Quiróz-Castellanos, M., & Kharel, R. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3642889 · Cited by 47
Near-Field Modeling and Performance Analysis for Extremely Large-Scale IRS Communications
Feng, C., Lu, H., Zeng, Y., Li, T., Jin, S., & Zhang, R. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3323770 · Cited by 46
Du, L., Shao, S., Yang, G., Ma, J., Liang, Q., & Tang, Y. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3078853 · Cited by 46
RIS-Assisted Ambient Backscatter Communication for SAGIN IoT
Liu, Q., Fu, M., Li, W., Xie, J., & Kadoch, M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3224587 · Cited by 45
THz Channel Sounding and Modeling Techniques: An Overview
Ghosh, A., & Kim, M. (2023) · IEEE Access · doi:10.1109/access.2023.3246161 · Cited by 45
MIMO Assisted Networks Relying on Large Intelligent Surfaces: A Stochastic Geometry Model.
Hou, T., Liu, Y., Song, Z., Sun, X., Chen, Y., & Hanzo, L. (2019) · Cited by 45
Shakhatreh, H., Sawalmeh, A., Hayajneh, K. F., Abdel‐Razeq, S., Malkawi, W., & Al‐Fuqaha, A. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3392623 · Cited by 44
Holographic MIMO Communications: What is the Benefit of Closely Spaced Antennas?
D'Amico, A. A., & Sanguinetti, L. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3405199 · Cited by 44
A Primer on Near-Field Communications for Next-Generation Multiple Access
Ouyang, C., Wang, Z., Chen, Y., Mu, X., & Zhu, P. (2024) · Proceedings of the IEEE · doi:10.1109/jproc.2024.3436513 · Cited by 44
Beamforming Optimization for Continuous Aperture Array (CAPA)-Based Communications
Wang, Z., Ouyang, C., & Liu, Y. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3545770 · Cited by 44
RadioWeaves for efficient connectivity: analysis and impact of constraints in actual deployments
der Perre, L. V., Larsson, E. G., Tufvesson, F., Strycker, L. D., Björnson, E., & Edfors, O. (2019) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf44664.2019.9048825 · Cited by 44
Self-citationEfficient Successive Over Relaxation Detectors for Massive MIMO
Yu, A., Jing, S., Tan, X., Wu, Z., Yan, Z., Zhang, Z., You, X., & Zhang, C. (2020) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2020.2966318 · Cited by 44
A Comprehensive Survey of 6G Wireless CommunicationsPreprint
Zhao, Y., Zhai, W., Zhao, J., Zhang, T., Sun, S., Niyato, D. T., & Lam, K. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.03889 · Cited by 44
Massive Synchrony in Distributed Antenna Systems
Larsson, E. G. (2024) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2024.3358618 · Cited by 54
User Selection in Reconfigurable Intelligent Surface Assisted Communication Systems
Gan, X., Zhong, C., Zhu, Y., & Zhong, Z. (2021) · IEEE Communications Letters · doi:10.1109/lcomm.2020.3048782 · Cited by 43
Dash, S. P., Mallik, R. K., & Pandey, N. (2022) · IEEE Communications Letters · doi:10.1109/lcomm.2022.3147804 · Cited by 43
Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent SurfacesPreprint
Lin, J., Wang, G., Fan, R., Tsiftsis, T. A., & Tellambura, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.02158 · Cited by 43
Mahbub, M., & Shubair, R. M. (2023) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2023.103726 · Cited by 42
Finite Beam Depth Analysis for Large Arrays
Kosasih, A., & Björnson, E. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3368013 · Cited by 42
Parihar, A. S., Singh, K. K., Bhatia, V., Li, C., & Duong, T. Q. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3416951 · Cited by 42
Hasan, S. R., Sabuj, S. R., Hamamura, M., & Hossain, M. A. (2024) · Wireless Personal Communications · doi:10.1007/s11277-024-11630-1 · Cited by 42
Wireless Power Transfer Empowered by Reconfigurable Intelligent Surfaces
Zhao, L., Wang, Z., & Wang, X. (2020) · IEEE Systems Journal · doi:10.1109/jsyst.2020.2985121 · Cited by 42
An optimized scheme for energy efficient wireless communication via intelligent reflecting surfaces
Taneja, A., Rani, S., Alhudhaif, A., Koundal, D., & Gündüz, E. S. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.116106 · Cited by 42
Metasurface‐Programmable Wireless Network‐On‐Chip
Imani, M. F., Abadal, S., & del Hougne, P. (2022) · Advanced Science · doi:10.1002/advs.202201458 · Cited by 42
A Survey on Intelligent-Reflecting-Surface-Assisted UAV Communications
Park, K.-W., Kim, H. M., & Shin, O. (2022) · Energies · doi:10.3390/en15145143 · Cited by 42
Design of Near-Field Beamforming for Large Intelligent Surfaces
Hu, S., Wang, H., & Ilter, M. C. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3281885 · Cited by 41
Self-citationExtremely Large Aperture Array (ELAA) Communications: Foundations, Research Advances and Challenges
Ye, S., Xiao, M., Kwan, M.-W., Ma, Z., Huang, Y., Karagiannidis, G. K., & Fan, P. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3486172 · Cited by 41
Li, L., Ma, D., Ren, H., Wang, D., Tang, X., Liang, W. J., & Bai, T. (2020) · China Communications · doi:10.23919/jcc.2020.10.008 · Cited by 41
Femenias, G., & Riera-Palou, F. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3132414 · Cited by 40
Line-of-Sight MIMO via Intelligent Reflecting Surface
Do, H., Lee, N., & Lozano, A. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3224035 · Cited by 39
Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP
Xu, W., Liu, A., Zhao, M., & Caire, G. (2024) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2024.3479319 · Cited by 39
On the Placement of Intelligent Surfaces for RSSI-Based Ranging in Mm-Wave Networks
Ghatak, G. (2021) · IEEE Communications Letters · doi:10.1109/lcomm.2021.3063918 · Cited by 39
Electromagnetic Based Communication Model for Dynamic Metasurface Antennas
Williams, R. J., Ramirez‐Espinosa, P., Yuan, J., & de Carvalho, E. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3167783 · Cited by 39
Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many AntennasPreprint
Xiaoyan, Y., Demirhan, U., & Alkhateeb, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.06644 · Cited by 39
Du, J., Xu, M., Gill, S. S., & Wu, H. (2023) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2023.3298822 · Cited by 38
Sadia, H., Hassan, A. K., Abbas, Z. H., Abbas, G., Waqas, M. M., & Han, Z. (2023) · Digital Communications and Networks · doi:10.1016/j.dcan.2023.09.002 · Cited by 38
Parametric Channel Estimation With Short Pilots in RIS-Assisted Near- and Far-Field Communications
Haghshenas, M., Ramezani, P., Magarini, M., & Björnson, E. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3371715 · Cited by 38
Bayesian Learning for Double-RIS Aided ISAC Systems With Superimposed Pilots and Data
Gan, X., Huang, C., Yang, Z., Zhong, C., Chen, X., Zhang, Z., Guo, Q., Yuen, C., & Debbah, M. A. (2024) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2024.3408071 · Cited by 38
On the Impact of Reactive Region on the Near-Field Channel Gain
Ouyang, C., Wang, Z., Zhao, B., Zhang, X., & Liu, Y. (2024) · IEEE Communications Letters · doi:10.1109/lcomm.2024.3435487 · Cited by 38
Can Sparse Arrays Outperform Collocated Arrays for Future Wireless Communications?
Wang, H., & Zeng, Y. (2023) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshps58843.2023.10465094 · Cited by 37
Joint Beam and Polarization Forming of Intelligent Reflecting Surfaces for Wireless Communications
Sugiura, S., Kawai, Y., Matsui, T., Lee, T., & Iizuka, H. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3055237 · Cited by 37
Shaikh, M. H. N., Bohara, V. A., Srivastava, A. K., & Ghatak, G. (2021) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2021.3068866 · Cited by 37
Sequential Detection and Estimation of Multipath Channel Parameters Using Belief Propagation
Li, X., Leitinger, E., Venus, A., & Tufvesson, F. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3165856 · Cited by 37
Cramér-Rao Bounds for Holographic Positioning
D'Amico, A. A., Torres, A. D. J., Sanguinetti, L., & Win, M. Z. (2022) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2022.3222102 · Cited by 37
Thien, H. T., Tuan, P. V., & Koo, I. (2022) · IEEE Access · doi:10.1109/access.2022.3159679 · Cited by 37
Distributed Reconfigurable Intelligent Surfaces Assisted Indoor Positioning
Ma, T., Xiao, Y., Lei, X., Xiong, W., & Xiao, M. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3191046 · Cited by 37
Learning to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimate
Jiang, T., Cheng, H. V., & Yu, W. (2020) · Globecom · doi:10.1109/globecom42002.2020.9348156 · Cited by 36
Lian, Z., Su, Y., Wang, Y., & Jiang, L. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3131765 · Cited by 36
Parametric Channel Estimation for LoS Dominated Holographic Massive MIMO Systems
Ghermezcheshmeh, M., & Zlatanov, N. (2023) · IEEE Access · doi:10.1109/access.2023.3273602 · Cited by 36
On the Spectral Efficiency of Multi-User Holographic MIMO Uplink Transmission
Qian, M., You, L., Xia, X., & Gao, X. (2024) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2024.3429495 · Cited by 35
Envisioning Intelligent Reflecting Surface Empowered Space-Air-Ground Integrated Network
Xu, S., Liu, J., Rodrigues, T. K., & Kato, N. (2021) · IEEE Network · doi:10.1109/mnet.011.2100007 · Cited by 35
Near-Field Channel Estimation for Extremely Large-scale MIMO with Hybrid Precoding
Cui, M., & Dai, L. (2021) · Globecom · doi:10.1109/globecom46510.2021.9685542 · Cited by 35
A dual-band reconfigurable intelligent metasurface with beam steering
Lin, H. L., Yu, W., Tang, R., Jin, J., Wang, Y., Xiong, J., Wu, Y., & Zhao, J. (2022) · Journal of Physics D Applied Physics · doi:10.1088/1361-6463/ac5663 · Cited by 35
Reviews Based on the Reconfigurable Intelligent Surface Technical Issues
Hong, I. (2023) · Electronics · doi:10.3390/electronics12214489 · Cited by 34
Flexible Intelligent Metasurfaces for Enhancing MIMO Communications
An, J., Han, Z., Niyato, D., Debbah, M., Yuen, C., & Hanzo, L. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3550318 · Cited by 34
Buzzi, S., D’Andrea, C., Zappone, A., Fresia, M., Zhang, Y., & Feng, S. (2021) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2021.3068414 · Cited by 34
A survey on IRS NOMA integrated communication networks
Kumar, S., Yadav, P., Kaur, M., & Kumar, R. (2022) · Telecommunication Systems · doi:10.1007/s11235-022-00898-y · Cited by 34
Deep-Learning-Assisted IoT-Based RIS for Cooperative Communications
Sagir, B., Aydın, E., & İlhan, H. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3239818 · Cited by 39
Exploiting the Depth and Angular Domains for Massive Near-Field Spatial Multiplexing
Ramezani, P., Kosasih, A., Irshad, A., & Björnson, E. (2023) · IEEE BITS the Information Theory Magazine · doi:10.1109/mbits.2023.3322670 · Cited by 34
Shamasundar, B., Daryanavardan, N., & Nosratinia, A. (2023) · IEEE Access · doi:10.1109/access.2023.3236909 · Cited by 33
Downlink Channel Tracking for Intelligent Reflecting Surface-Aided FDD MIMO Systems
Cai, P., Zong, J., Luo, X., Zhou, Y., Chen, S., & Qian, H. L. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3063138 · Cited by 33
Xia, S., Shi, Y., Zhou, Y., & Yuan, X. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3115938 · Cited by 33
Peng, Z., Chen, X., Pan, C., Elkashlan, M., & Wang, J. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3192265 · Cited by 33
Metadata
- Authors
- Hu, S., Rusek, F., & Edfors, O.
- Affiliations
- Lund University (SE)
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2018-05-15
- Volume
- 66
- Issue
- 10
- Pages
- 2746-2758
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2735938380
- Cited by
- 892
- References
- 59
- Citations by year
- 2026: 33 · 2025: 87 · 2024: 127 · 2023: 154 · 2022: 140 · 2021: 147 · 2020: 112 · 2019: 63 · 2018: 29
- FWCI
- 33.59
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE Transactions on Signal Processing (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Antenna and Metasurface Technologies
- Keywords
- large intelligent surfaces, massive MIMO, channel capacity, single-antenna terminals, matched filter, terminal density, hexagonal lattice, antenna arrays, line-of-sight propagation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
