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Relay-Assisted D2D Underlay Cellular Network Analysis using Stochastic Geometry: Overview and Future Directions
2019
IEEE Access
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This brings stochastic geometry (SG) into the picture. ...
INDEX TERMS D2D, energy efficiency, relay, spectral efficiency, stochastic geometry, survey, transmission capacity. ...
THE ROLE OF STOCHASTIC GEOMETRY IN NETWORK ANALYSIS Stochastic geometry is a sophisticated tool from mathematics which gives insights into spatial averages taken over several realizations for a large number ...
doi:10.1109/access.2019.2933915
fatcat:pblaggrvdbb5jkwdfb2c63uzwu
Downlink Coverage and Rate Analysis of an Aerial User in Vertical Heterogeneous Networks (VHetNets)
[article]
2020
arXiv
pre-print
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In this paper, we analyze the downlink coverage probability and rate of an aerial user in vertical HetNets (VHetNets) comprising aerial base stations (aerial-BSs) and terrestrial-BSs. ...
Using stochastic geometry, we derive exact and approximate expressions of the coverage probability and rate in terms of interference power's Laplace transform. ...
In this paper, we leverage tools from stochastic geometry to derive closed-form expressions for the downlink coverage and achievable rate of a typical aerial user in VHetNets under the assumptions of a ...
arXiv:1905.11934v2
fatcat:7gidywm43bfipbtabls3d6cwsy
Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting
2020
IEEE Open Journal of Vehicular Technology
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In particular, space-division multiple access (SDMA) and power-domain non-orthogonal multiple access (NOMA) present promising multiplexing gains for aerial downlink and uplink. ...
Specifically, UAVs can be used in cellular networks as aerial users for delivery, surveillance, rescue search, or as an aerial base station (aBS) for communication with ground users in remote uncovered ...
Stochastic geometry analysis. Exact closed-form expressions for ergodic rate and outage probability are derived in both LoS and NLoS scenarios. ...
doi:10.1109/ojvt.2020.3032844
fatcat:uufv3hbv75edxadsywvfb4vkjy
Multiple Access in Aerial Networks: From Orthogonal and Non-Orthogonal to Rate-Splitting
[article]
2020
arXiv
pre-print
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In particular, space-division multiple access(SDMA) and power-domain non-orthogonal multiple access (NOMA) present promising multiplexing gains for aerial downlink and uplink. ...
Specifically, UAVs can be used in cellular networks as aerial users for delivery, surveillance, rescue search, or as an aerial base station (aBS) for communication with ground users in remote uncovered ...
Stochastic geometry analysis. Exact closed-form expressions for ergodic rate and outage probability are derived in both LoS and NLoS scenarios. ...
arXiv:2005.13122v4
fatcat:i4qtllvsaff5rmedxrqjgrirm4
Intelligent Reflective Surface Deployment in 6G: A Comprehensive Survey
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2204.01152v1 fatcat:sjy7hkp3bbcsxos7rfijggwbkm
This paper sheds light on the different deployment strategies for IRSs in future terrestrial and non-terrestrial networks. ...
We also explore optimization-based IRS deployment techniques to improve system performance in terrestrial and aerial IRSs. ...
Then it provides a detailed analysis of optimization techniques formulated for placement of IRS-elements in terrestrial and non-terrestrial communication. ...
arXiv:2204.01152v2
fatcat:ddr4tx3bkvagljba3ym75bwgwu
Hybrid Satellite–Terrestrial Networks toward 6G: Key Technologies and Open Issues
2022
Sensors
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In this work, we provide a comprehensive survey of the most recent work on hybrid satellite–terrestrial networks (HSTNs), focusing on system architecture, performance analysis, design optimization, and ...
, and aerial networks. ...
Characterizing the interference by using stochastic geometry tools, the performances of these schemes were also analyzed in terms of outage probability for both satellite and terrestrial users along with ...
doi:10.3390/s22218544
pmid:36366243
pmcid:PMC9658377
fatcat:bhohmxypqrb33pzz2s7or2jgbu
Spectrum Sharing in the Sky and Space: A Survey
2022
Sensors
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This article provides guidance for spectrum allocation and spectrum sharing of space–air–ground integrated networks. ...
First, this article provides an overview of aerial networks and space networks and introduces the main application scenarios of aerial networks and space networks. ...
In the article, the ground network and UAV-to-ground downlink were modeled by using stochastic geometry, and the successful coverage probability of the network was analyzed. ...
doi:10.3390/s23010342
pmid:36616941
pmcid:PMC9824622
fatcat:opwdevnr5zdtbk2o3mens22n6q
Interplay Between NOMA and Other Emerging Technologies: A Survey
2019
IEEE Transactions on Cognitive Communications and Networking
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Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the userfairness in wireless networks, ...
This paper provides a comprehensive survey of the interplay between NOMA and the above technologies. The emphasis is on how the above techniques can benefit from NOMA and vice versa. ...
Moreover, in [92] , the outage performance was investigated in downlink C-RAN NOMA networks, where stochastic geometry was used for modeling the locations of BSs and NOMA users. ...
doi:10.1109/tccn.2019.2933835
fatcat:5utwrrgtujbsrf7q5yngpcodie
Interplay Between NOMA and Other Emerging Technologies: A Survey
[article]
2019
arXiv
pre-print
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Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user fairness in wireless networks, ...
This paper provides a comprehensive survey of the interplay between NOMA and the above technologies. The emphasis is on how the above techniques can benefit from NOMA and vice versa. ...
Moreover, in [92] , the outage performance was investigated in downlink C-RAN NOMA networks, where stochastic geometry was used for modeling the locations of BSs and NOMA users. ...
arXiv:1903.10489v2
fatcat:4u6soepjfjeiply4v2e2luionm
CoMP Transmission in Downlink NOMA-Based Cellular-Connected UAV Networks
2023
IEEE Transactions on Wireless Communications
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2023 pre-print arXiv:2304.06300v1 fatcat:2zyjqkacgva5xa42g2amwotai4
of aerial users (AUs) and terrestrial users (TUs). ...
By leveraging the tools from stochastic geometry, we propose a novel analytical framework to evaluate the performance of the CoMP-NOMA based cellular-connected UAV network in terms of coverage probability ...
Motivated by this, the work in [29] leveraged the tools from stochastic geometry and proposed an analytical framework to evaluate the network performance under downlink NOMA for coexisting AUs and TUs ...
doi:10.1109/twc.2023.3341153
fatcat:6ozlrlk7wzchxon3vgdyyifqh4
Non-terrestrial Communications Assisted by Reconfigurable Intelligent Surfaces
[article]
2021
arXiv
pre-print
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Firstly, the framework of the RANTNs is introduced with detailed discussion about distinct properties of RIS in NTNs and the two types of RIS, that is, terrestrial RISs (TRISs), and aerial RISs (ARISs) ...
Non-terrestrial communications have emerged as a key enabler for seamless connectivity in the upcoming generation networks. ...
Since the lightweight and conformal geometry of RIS enables the installment onto the facades of almost all ground and aerial objects, the deployment of RIS can be divided into terrestrial RISb(TRIS) and ...
arXiv:2109.00876v1
fatcat:gukzusg4rzeevcfzdl2ff7yxdm
2020 Index IEEE Transactions on Wireless Communications Vol. 19
2020
IEEE Transactions on Wireless Communications
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Identification for MIMO Systems in Dynamic Environments; TWC June 2020 3643-3657 Huang, C., see Yang, M., TWC Sept. 2020 5860-5874 Huang, D., Tao, X., Jiang, C., Cui, S., and Lu, J ...
., and Saad, W., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua, ...
., +, TWC Feb. 2020 1280-1291 Performance Analysis and Optimization of Cooperative Satellite-Aerial-Terrestrial Systems. ...
doi:10.1109/twc.2020.3044507
fatcat:ie4rwz4dgvaqbaxf3idysubc54
2021 Index IEEE Transactions on Vehicular Technology Vol. 70
2021
IEEE Transactions on Vehicular Technology
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TVT Jan. 2021 613-626 End-to-End Delay Analysis in Aerial-Terrestrial Heterogeneous Networks. ...
doi:10.1109/tvt.2022.3151213
fatcat:vzuzqu54irebpibzp3ykgy5nca
An Unsupervised Machine Learning Approach for UAV-Aided Offloading of 5G Cellular Networks
2022
Telecom
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Today's terrestrial cellular communications networks face difficulties in serving coexisting users and devices due to the enormous demands of mass connectivity. ...
In such cases, the addition of on-demand network entities, such as fixed or aerial base stations, has been proposed as a viable solution for managing high data traffic and offloading the existing terrestrial ...
and k-medoids algorithms are used to group the users into clusters for exploiting the full advantages of NOMA. ...
doi:10.3390/telecom3010005
fatcat:fjl7me3s4rdvhi3qsv75hdjvbu
A Survey on Spectrum Management for Unmanned Aerial Vehicles (UAVs)
2021
IEEE Access
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The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio spectrum management to achieve safe operation, efficient spectrum utilization, and coexistence with legacy wireless networks ...
This motivates the need to revisit existing approaches and identify suitable schemes that allow for the rapid integration of UAVs with existing wireless technologies. ...
The distribution of UAVs is modeled as a 3D homogeneous Poisson point process (PPP), where stochastic geometry is applied to analyze the coverage probability of UAVs and ground network users. ...
doi:10.1109/access.2021.3138048
fatcat:2h5ls7ywo5g3bbz454gqatvkw4
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