The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.
Cell-Free Massive MIMO: A Survey
Abstract
Towards a fully connected intelligent digital world, 5G and beyond networks experience a new era of Internet of intelligence with connected people and things. This new era brings challenging demands to the network, such as high spectral efficiency, low-latency, high-reliable communication, and high energy efficiency. One of the major technological breakthroughs to cope with these unprecedented demands is the cell-free (CF) massive multiple-input multiple-output (mMIMO) systems. In CF mMIMO, a large number of distributed access points are connected to a central processing unit, and serve a smaller number of users over the same time-frequency resources. The system has shown a great potential in improving the network performance in various perspectives compared to the co-located mMIMO and conventional small-cell systems. Furthermore, the system can be flexibly integrated with various emerging techniques/technologies for 5G and beyond networks to boost the network performance in different perspectives. Despite the substantial reported theoretical gains of CF mMIMO systems, the full picture of a practical scalable deployment of the system is not clear yet. In this paper, we provide a comprehensive survey of different aspects of the CF mMIMO system from the general system model, the detailed system operation, the limitations towards a practically implemented system to the potential of integrating the system with emerging techniques/technologies. Besides, we provide a number of timely open problems and future research directions to fully exploit the CF mMIMO system potential in delivering the anticipated requirements of future wireless networks.
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Cites
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., Wong, G. N., Schulz, J. K., Samimi, M., & Gutierrez, F. (2013) · IEEE Access · doi:10.1109/access.2013.2260813 · Cited by 7,351
ESPRIT-estimation of signal parameters via rotational invariance techniques
Roy, R., & Kailath, T. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.32276 · Cited by 7,289
Noncooperative 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 6,302
Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
Wu, Q., & Zhang, R. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.1900107 · Cited by 4,308
An Overview of Massive MIMO: Benefits and Challenges
Lu, L., Li, G. Y., Swindlehurst, A. L., Ashikhmin, A., & Zhang, R. (2014) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2014.2317671 · Cited by 2,838
Cell-Free Massive MIMO Versus Small Cells
Ngo, H. Q., Ashikhmin, A., Yang, H., Larsson, E. G., & Marzetta, T. L. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2655515 · Cited by 2,757
Fundamentals of Statistical Signal Processing
(2006) · Blind Equalization and System Identification · doi:10.1007/1-84628-218-7_3 · Cited by 2,614
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation
Akdeniz, M. R., Liu, Y., Samimi, M. K., Sun, S., Rangan, S., Rappaport, T. S., & Erkip, E. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328154 · Cited by 2,476
Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges
Rangan, S., Rappaport, T. S., & Erkip, E. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2299397 · Cited by 2,428
Toward 6G Networks: Use Cases and Technologies
Giordani, M., Polese, M., Mezzavilla, M., Rangan, S., & Zorzi, M. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.1900411 · Cited by 2,241
Cited by
RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
Shi, E., Zhang, J., Du, H., Ai, B., Yuen, C., Niyato, D., Letaief, K. B., & Shen, X. (2024) · Proceedings of the IEEE · doi:10.1109/jproc.2024.3404491 · Cited by 224
Metadata
- Authors
- Elhoushy, S., Ibrahim, M., & Hamouda, W.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2022
- Volume
- 24
- Issue
- 1
- Pages
- 492-523
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W3209298344
- Cited by
- 448
- References
- 130
- FWCI
- 17.43
- Type
- journal article
- Language
- en
- Open access
- closed
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