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On the throughput of the return-link multi-beam satellite systems using genetic algorithm-based schedulers

Behrooz Makki, Tommy Svensson, Giuseppe Cocco, Tomaso de Cola, Stefan Erl
2015 2015 IEEE International Conference on Communications (ICC)  
This paper studies the sum throughput maximization of the return-link in multi-beam satellite systems.  ...  Using a simplified channel model, we evaluate the proposed scheduler in a multi-beam system.  ...  satellite network."  ... 
doi:10.1109/icc.2015.7248426 dblp:conf/icc/MakkiSCCE15 fatcat:kjqg7suy3rg2hnvvi4pqbzf7qe

A comparison of beam refinement algorithms for millimeter wave initial access

Hao Guo, Behrooz Makki, Tommy Svensson
2017 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)  
antennas, beamforming resolution as well as hardware impairments on the system performance employing different beam refinement algorithms.  ...  In this paper, we extend our previously proposed genetic algorithm (GA)based beam refinement scheme to include beamforming at both the transmitter and the receiver, and compare the performance with alternative  ...  Agency for Innovation Systems (VINNOVA) within the VINN Excellence Center Chase.  ... 
doi:10.1109/pimrc.2017.8292686 dblp:conf/pimrc/GuoMS17 fatcat:mgae5ocdkngelpricva2kueohe

A Genetic Algorithm-based Beamforming Approach for Delay-constrained Networks [article]

Hao Guo, Behrooz Makki, Tommy Svensson
2017 arXiv   pre-print
Particularly, we develop an efficient beamforming scheme using genetic algorithms.  ...  resolution as well as hardware impairments on the system performance.  ...  Agency for Innovation Systems (VINNOVA) within the VINN Excellence Center Chase.  ... 
arXiv:1703.03792v1 fatcat:nucr7i2k2na4rhlyu625ggg4ee

A genetic algorithm-based beamforming approach for delay-constrained networks

Hao Guo, Behrooz Makki, Tommy Svensson
2017 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)  
Particularly, we develop an efficient beamforming scheme using genetic algorithms.  ...  resolution as well as hardware impairments on the system performance.  ...  Agency for Innovation Systems (VINNOVA) within the VINN Excellence Center Chase.  ... 
doi:10.23919/wiopt.2017.7959905 dblp:conf/wiopt/GuoMS17 fatcat:iggef7c5jzfqxopwullu6xoni4

Carrier Aggregation in Satellite Communications: Impact and Performance Study

Mirza Golam Kibria, Eva Lagunas, Nicola Maturo, Hayder Al-Hraishawi, Symeon Chatzinotas
2020 IEEE Open Journal of the Communications Society  
Next, the problem of multiuser aggregation and access control design for CA in multi-beam high throughput satellite systems under practical system constraints is presented.  ...  Simulation results and analysis shed some light on this rather unexplored scenario and demonstrate the feasibility of the CA in satellite communication systems.  ...  This CA scenario focuses on the poor coverage at the beam edge in multi-beam High Throughput Satellite (HTS) systems. CA in this scenario can be employed to increase the peak rates of edge users.  ... 
doi:10.1109/ojcoms.2020.3023375 fatcat:2woxeiwluzc35o66dcjbxrqu4u

Non-Terrestrial Networks in 5G & Beyond: A Survey

Federica Rinaldi, Helka-Liina Maattanen, Johan Torsner, Sara Pizzi, Sergey Andreev, Antonio Iera, Yevgeni Koucheryavy, Giuseppe Araniti
2020 IEEE Access  
Future research directions are also identified to assess the role of NTN in 5G and beyond systems. INDEX TERMS Non-Terrestrial Network, Satellite communication, New Radio, 5G system and beyond.  ...  Fifth-generation (5G) telecommunication systems are expected to meet the world market demands of accessing and delivering services anywhere and anytime.  ...  Multi-Spot Beam Satellites are based on the frequency re-use principle, which is well-known for terrestrial communications.  ... 
doi:10.1109/access.2020.3022981 fatcat:rrxn6clmbvepxl2rxi4fw4zgwi

BeiDou Short-Message Satellite Resource Allocation Algorithm Based on Deep Reinforcement Learning

Kaiwen Xia, Jing Feng, Chao Yan, Chaofan Duan
2021 Entropy  
In order to solve the above problems, a short-message satellite resource allocation algorithm based on deep reinforcement learning (DRL-SRA) is proposed.  ...  To improve the resource utilization of satellite systems and ensure the service quality of the short-message terminal is adequate, it is necessary to allocate and schedule short-message satellite processing  ...  Funding: The National Natural Science Foundation of China under contract No. 61371119 and the Blue project of Jiangsu Province.  ... 
doi:10.3390/e23080932 fatcat:b7kki4qydfd7fm3ctkwhxaklzu

Results of the MIT Space Communication and Navigation architecture study

Marc Sanchez, Daniel Selva, Bruce Cameron, Edward Crawley, Antonios Seas, Bernie Seery
2014 2014 IEEE Aerospace Conference  
This paper describes an updated version of the tool featuring a higher-fidelity, rule-based scheduling algorithm, as well as several modifications in the architecture enumeration and cost models.  ...  Particular emphasis is put on families of architectures that are of interest to NASA, namely TDRSS-like architectures, architectures based on hosted payloads, and highly distributed architectures.  ...  Special thanks for Gregory Heckler, David Milliner, and Catherine Barclay at NASA GSFC, for their help getting the dataset and their feedback on our study.  ... 
doi:10.1109/aero.2014.6836339 fatcat:5vhjzy37xjdyzjp5od6zh5uibm

Joint Routing and Scheduling in Mobile Aeronautical Ad Hoc Networks

Felix Hoffmann, Daniel Medina, Adam Wolisz
2013 IEEE Transactions on Vehicular Technology  
It is shown that the performance of the Genetic Algorithm is comparable to the mathematical programming approach in terms of delay and packet delivery ratio at lower complexity, and is significantly better  ...  Since the computational complexity of this approach is prohibitive for larger networks, we also formulate a Genetic Algorithm that can be applied to larger networks as well as mobile networks.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers, whose comments helped to greatly improve the quality of the paper.  ... 
doi:10.1109/tvt.2013.2246877 fatcat:ni7kyj27bjhz5kg2ove7oadr3m

Radio resource management strategies for DVB-S2 systems operated with flexible satellite payloads

Giuseppe Cocco, Tomaso De Cola, Martina Angelone, Zoltan Katona
2016 2016 8th Advanced Satellite Multimedia Systems Conference and the 14th Signal Processing for Space Communications Workshop (ASMS/SPSC)  
In this context, this paper explores the technical challenges related to radio resource allocation in the forward link of multibeam satellite networks and proposes a strategy based on a modified version  ...  The increasing demand for high-rate broadcast and multicast services over satellite networks has pushed for the development of High Throughput Satellite (HTS) characterized by a large number of beams (  ...  on the forward link of satellite networks.  ... 
doi:10.1109/asms-spsc.2016.7601536 dblp:conf/asms-spsc/CoccoCAK16 fatcat:7ymzmm55hfglzol76tbh4h6t4y

A Genetic Algorithm-Based Antenna Selection Approach for Large-but-Finite MIMO Networks

Behrooz Makki, Anatole Ide, Tommy Svensson, Thomas Eriksson, Mohamed-Slim Alouini
2017 IEEE Transactions on Vehicular Technology  
IEEE Transactions on Vehicular Technology (ISSN: 0018-9545) Citation for the published paper: Makki, B. ; IDE, A. ; Svensson, T. et al. (2017) "A Genetic Algorithm-based Antenna Selection Approach for  ...  Our results show that the proposed GAbased algorithm reaches (almost) the same throughput as the exhaustive search-based optimal approach, with substantially less implementation complexity.  ...  and resource allocation in return-link multi-beam satellite systems/distributed MIMO networks.  ... 
doi:10.1109/tvt.2016.2646139 fatcat:ud5oouamhzdqjmyrnuullozthi

Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey [article]

Abdulmalik Alwarafy, Mohamed Abdallah, Bekir Sait Ciftler, Ala Al-Fuqaha, Mounir Hamdi
2021 arXiv   pre-print
Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value- and policy-based algorithms.  ...  The advantages, limitations, and use-cases for each algorithm are provided.  ...  RNN-based DQN Satellite Nets Multi-beam satellite systems Liu et al. [145] Dynamic spectrum allocation Single-agent DQN Multi-beam satellite systems Hu et al. [146] Dynamic spectrum allocation  ... 
arXiv:2106.00574v1 fatcat:7lz672kuqvexlps6vtgj65xefe

Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network Towards 6G [article]

Shu Fu, Jie Gao, Lian Zhao
2021 arXiv   pre-print
Firstly, by proposing a tapped water-filling algorithm, we schedule the traffic to relay among satellites according to the available serving time of satellites.  ...  Then, we generate a series of configuration matrices, based on which we formulate the relationship of relay time and the power consumption involved in the relay among satellites.  ...  In [10] , a genetic algorithm based method was proposed to increase the coverage of a TSN.  ... 
arXiv:2105.01259v1 fatcat:ypdaluhysbg33pmyel3jc4txky

Cooperative Downloading for LEO Satellite Networks: A DRL-Based Approach

Hongrok Choi, Sangheon Pack
2022 Sensors  
individual satellites of the network.  ...  To learn the optimal approach to the formulated problem, we adopt a soft-actor-critic (SAC)-based DRL algorithm in discretized action spaces.  ...  Acknowledgments: The authors are grateful to the anonymous reviewers for their comments and valuable suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22186853 pmid:36146202 pmcid:PMC9506597 fatcat:muv5w622u5d53e3le7j3x73jie

The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

Abdulmalik Alwarafy, Mohamed Abdallah, Bekir Sait Ciftler, Ala Al-Fuqaha, Mounir Hamdi
2022 IEEE Open Journal of the Communications Society  
Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value-and policy-based algorithms.  ...  The advantages, limitations, and use-cases for each algorithm are provided.  ...  The findings herein reflect the work, and are solely the responsibility, of the authors.  ... 
doi:10.1109/ojcoms.2022.3153226 fatcat:glggltll2fgjflbe325vtxnz2y
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