The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Tractable Model for Rate in Self-Backhauled Millimeter Wave Cellular Networks
Open accessAbstract
Millimeter wave (mmWave) cellular systems will require high-gain directional antennas and dense base station (BS) deployments to overcome a high near-field path loss and poor diffraction. As a desirable side effect, high-gain antennas offer interference isolation, providing an opportunity to incorporate self-backhauling, i.e., BSs backhauling among themselves in a mesh architecture without significant loss in the throughput, to enable the requisite large BS densities. The use of directional antennas and resource sharing between access and backhaul links leads to coverage and rate trends that significantly differ from conventional UHF cellular systems. In this paper, we propose a general and tractable mmWave cellular model capturing these key trends and characterize the associated rate distribution. The developed model and analysis are validated using actual building locations from dense urban settings and empirically derived path loss models. The analysis shows that, in sharp contrast to the interference-limited nature of UHF cellular networks, the spectral efficiency of mmWave networks (besides the total rate) also increases with the BS density, particularly at the cell edge. Increasing the system bandwidth does not significantly influence the cell edge rate, although it boosts the median and peak rates. With self-backhauling, different combinations of the wired backhaul fraction (i.e., the fraction of BSs with a wired connection) and the BS density are shown to guarantee the same median rate (QoS).
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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
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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
Five disruptive technology directions for 5G
Boccardi, F., Heath, R. W., Lozano, A., Marzetta, T. L., & Popovski, P. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736746 · Cited by 3,709
A Tractable Approach to Coverage and Rate in Cellular Networks
Andrews, J. G., Baccelli, F., & Ganti, R. K. (2011) · IEEE Transactions on Communications · doi:10.1109/tcomm.2011.100411.100541 · Cited by 3,170
Self-citationRoh, W., Seol, J.-Y., Park, J., Lee, B., Lee, J., Kim, Y., Cho, J., Cheun, K., & Aryanfar, F. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736750 · Cited by 2,792
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Pi, Z., & Khan, F. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.5783993 · Cited by 2,538
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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
Coverage and Rate Analysis for Millimeter-Wave Cellular Networks
Bai, T., & Heath, R. W. (2015) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2014.2364267 · Cited by 1,425
Stochastic Geometry and Wireless Networks: Volume I Theory
Baccelli, F. (2009) · now publishers, Inc. eBooks · doi:10.1561/9781601982650 · Cited by 867
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Self-citationMillimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey
Busari, S. A., Huq, K. M. S., Mumtaz, S., Dai, L., & Rodriguez, J. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2787460 · Cited by 730
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Wang, X., Kong, L., Kong, F., Qiu, F., Xia, M., Arnon, S., & Chen, G. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2844322 · Cited by 656
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Metadata
- Authors
- Singh, S., Kulkarni, M. N., Ghosh, A., & Andrews, J. G.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2015-10
- Volume
- 33
- Issue
- 10
- Pages
- 2196-2211
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W1953553238
- Cited by
- 507
- References
- 27
- FWCI
- 41.38
- Type
- journal article
- Language
- en
- Open access
- green
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