Optimization of key characteristics of wireless networks with interlevel interaction

Authors

DOI:

https://doi.org/10.18372/2073-4751.67.16194

Abstract

The main tasks of wireless network optimisation include optimising the distribution of a limited number of radio resources between users. Different types of packet traffic transmitted over the network involve the dynamic allocation of resources to users. The solution of tasks of resource planning, assignment of priorities of access depending on types of traffic with the set requirements to quality of service are engaged in modules of management of radio resources called schedulers. Planners have high demands on the speed of resource allocation with acceptable quality. These requirements can be met by using a cross-layer approach to solving the problem of resource allocation. Planners, in turn, are developed on the basis of algorithms obtained as a result of solving various problems of optimisation of radio resources. Currently known cross-layer optimisation tasks, such as power minimization tasks or transmission speed maximization tasks, actually involve the optimisation of a utility function that describes a layer of user satisfaction for a particular radio allocation scheme under certain constraints. The article investigates algorithm of cross layer optimisation, designed to maximize the utility function in different conditions - the local search algorithm with a posterior correction. For the considered algorithm the problems of maximization of the utility function and the conditions of asymptotic optimality of their solution are formulated.

References

Comaniciu C. Wireless networks: multiuser detection in cross-layer design / Cristina Comaniciu, Narayan B. Mandayarn, H. Vincent Poor. – Springer Science+Business Media, Inc., 2005. – 202 p.

Sarangapani J. Wireless Ad Hoc and Sensor Networks: Protocols, Performance, and Control / – CRC Press, Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742, 2007. – 514 p.

Shariat M., Quddus A.U., Ghorashi S.A., Tafazolli R. Scheduling as an Important Cross-Layer Operation for Emerging Broadband Wireless Systems // IEEE Commun. Surveys Tuts. – 2009. – V. 11, №. 2. – P. 74-86.

Vegesna S.R. IP QualityofService. –PearsonEducation, CiscoPress, 2019, 221 River Street, Hoboken, NJ 07030. – 368 p.

Chandra I. Optimization of QoS parameters using scheduling techniques in heterogeneous network // I. Chandra, K. Helen Prabha, N. Sivakumar. – Personal and Ubiquitous Computing, Springer-Verlag London Ltd, 2018. – 8 p

Lin X., Shroff N., Srikant R. A Tutorial on Cross-Layer Optimizationin Wireless Networks // IEEE J. Sel. Areas Commun. 2006. – V. 24. – № 8. – Р. 1452-1463.

Hossain E. Radio Resource Management in Wireless Networks: An Engineering Approach, 1st Edition / EkramHossain, MehdiRasti, LongBaoLe. – CambridgeUniversityPress, 2017. – 431 p.

Zhang R. Resource Management for Multimedia Services in High Data Rate Wireless Networks / Ruonan Zhang, Lin Cai, Jianping Pan. – Springer, 2017. – 145 p.

Radio Resource Management White Paper – Cisco, 2018. – [Електронний ресурс.] Режим доступу: https://www.cisco.com/c/en/us/td/docs/wireless/controller/technotes/8-1/mobility_express/b_RRM_White_Paper/

Amiri C.A. WQLB: WiMAX QoS Aware Load Balancing Protocol. // Amiri C. A., Aghdam, S. M. – 2012 IEEE 12th International Conference on Computer and Information Technology. – P. 615-622.

Hasan M.Z. Optimized Quality of Service for Real-Time Wireless Sensor Networks Using a Partitioning Multipath Routing Approach. // Mohammed Zaki Hasan, Tat-Chee Wan. – Hindawi Publishing Corporation, Journal of Computer Networks and Communications, 2013. – 18 p.

Гайдамака Ю.В. Модели и методы анализа показателей эффективности функционирования мультисервисных и одноранговых сетей // Дисс. докт. физ-мат. наук. – М.: РУДН, 2017. – 235 с.

Lozovanu D. Optimization of Stochastic Discrete Systems and Control on Complex Networks: Computational Networks. / Dmitrii Lozovanu, Stefan Pickl. – Springer International Publishing, Switzerland, 2015. – 400 p.

Liu Q. Stochastic Control and Filtering over Constrained Communication Networks / Qinyuan Liu, Zidong Wang, Xiao He. – Springer Nature Switzerland AG, 2019. – 222 p.

Szigeti T. End-to-End QoS Network Design, 2nd ed. / Tim Szigeti, Robert Barton, Christina Hattingh, Kenneth Briley, Jr. – Cisco Press, 800 East 96th Street, Indianapolis, IN 46240, 2013. – 1090 p.

Khan S. Exponential utility function-based criteria for network selection in heterogeneous wireless networks // Shoaib Khan, Mian Ilyas Ahmad, Farhan Hussain. – Electronic Letters. – 2018. – V. 54. – №. 8. – P. 529-531.

Vigneri L. Large-Scale Network Utility Maximization: Countering Exponential Growth with Exponentiated Gradients // Luigi Vigneri, Georgios Paschos, Panayotis Mertikopoulos. – INFOCOM 2019 – IEEE International Conference on Computer Communications, Apr 2019, Paris, France. – P. 1630-1638.

Sinha A. Network Utility Maximization with Heterogeneous Traffic Flows // Abhishek Sinha, Eytan Modiano. - IEEE 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Shanghai, China, 24 May 2018. – 8 p.

Pateromichelakis E. End-to-End QoS Optimization for V2X Service Localization // Emmanouil Pateromichelakis, Chan Zhou, Prajwal Keshavamurthy, Konstantinos Samdanis. – 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019. – 6 p.

Kasgari A.T.Z. Stochastic optimization and control framework for 5G network slicing with effective isolation. //Ali Taleb Zadeh Kasgari, Walid Saad. – 2018 52nd Annual Conference on Information Sciences and Systems (CISS), IEEE, Princeton, NJ, USA, 21-23 March 2018. – 6 p.

Zadeh K.A.T. Brain-Aware Wireless Networks: Learning and Resource Management // Ali T. Zadeh K., WalidSaad, MerouaneDebbah. – IEEE 2017 51st AsilomarConferenceonSignals, Systems, andComputers, PacificGrove, CA, USA, 29 Oct.-1 Nov. 2017. – 5 p.

Liotou E.QoE-SDN APP: A Rate-guidedQoE-aware SDN-APP for HTTP AdaptiveVideoStreaming // Eirini Liotou, Konstantinos Samdanis, Emmanouil Pateromichelakis, Nikos Passas, Lazaros Merakos. – IEEE Journal on Selected Areas in Communications, March 2018. – V. 36. – Iss. 3. – Р. 598-615.

Jurdak R. Wireless Ad Hoc and Sensor Networks: A Cross-Layer Design Perspective. – Springer Science+Business Media, LLC., 2007. – 264 p.

Goodman D.Power Control for Wireless Data. // D. Goodman, N. Mandayam. – 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99), San Diego, CA, USA. – IEEE Xplore, 2002. – 9 p.

Fiedler M. The Network Utility Function: A Practicable Concept for Assessing Network Impact on Distributed Services // Markus Fiedler, Stefan Chevul, Olaf Radtke, Kurt Tutschku, Andreas Binzenhofer. – Report No. 355 April 2005. – 10 p. – [Електронний ресурс.] Режим доступу: https://www.diva-potal.org/smash-/get/diva2:837754/FULLTEXT01.pdf7

Papadimitriou C.H., Steiglitz K. Combinatorial Optimization: Algorithms and Complexity, 2nd ed. Dover Publication, Inc., 31 East 2nd Street, Mineola, N.Y. 11501, 1998. – 491 p.

Ford L. R. Flows in Networks. / L.R. Ford Jr., D. R. Fulkerson - Princeton University Press; Revised edition, 2010. – 216 p.

Gendereau M., Potvin J.-I. Handbook of Metaheuristic, 3rd ed. – Springer International Publishing AG, 2019. – 604 p.

Pardalos P. Handbook of Combinatorial Optimization, 2nd Ed. / Panos M. Pardalos, Ding-Zhu Du, Ronald L. Graham (Eds.) – Springer Science+Business Media New York, 2013. – 3409 p.

Floudas C. Encyclopedia of Optimization, 2nd Ed. / C. A. Floudas and P. M. Pardalos (Eds.). – Springer Science+Buisiness Media, LLC, 2009. – 4646 p.

Published

2021-10-12

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