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Resource Allocation Without Channel

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Practical Channel-Aware Resource Allocation

Abstract

This chapter discusses a proportional fairness resource allocation with a convex formulation that incorporates application’s status, users’ priority, and traffic type such that the resources are assigned in an optimal fashion to the applications. The proposed formulation assigns resources to the real-time applications faster than delay-tolerant applications. Moreover, it assigns resources to the users with higher priority and/or to applications that have a higher weight in terms of allocation priority. This chapter discusses centralized and distributed approaches to the resource allocation formulation, proves their mathematical equivalence, and expounds upon their pros and cons. This chapter also provides a benchmark comparing the methodology presented here with similar ones in the literature and depicts the efficacy of the methods discussed here. This chapter depicts that the approach presented here prioritizes real-time applications as they need resources more urgently than the delay-tolerant applications.

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References

  1. Ericsson mobility report, in Ericsson Press Release, 2013

    Google Scholar 

  2. H. Ekstrom, QoS control in the 3GPP evolved packet system. IEEE Commun. Mag. 47(2), 76–83 (2009)

    Article  Google Scholar 

  3. A. Kumar, A. Abdelhadi, T.C. Clancy, A delay efficient multiclass packet scheduler for heterogeneous M2M uplink, in IEEE MILCOM, 2016

    Google Scholar 

  4. Machina Research, M2M growth necessitates a new approach to network planning and optimisation (2015). https://goo.gl/CDmd6M

  5. A. Sengupta, A. Abdelhadi, T.C. Clancy, Performance trade-offs in IoT uplink networks under secrecy constraints (under submission)

    Google Scholar 

  6. A. Kumar, A. Abdelhadi, T.C. Clancy, An online delay efficient packet scheduler for M2M traffic in industrial automation, in IEEE Systems Conference, 2016

    Google Scholar 

  7. M. Ghorbanzadeh, Y. Chen, K. Ma, C. Clancy, R. McGwier, A neural network approach to category validation of Android applications, in IEEE Conference on Computing, Networking, and Communications (ICNC), 2013

    Google Scholar 

  8. Z. Kbah, A. Abdelhadi, Resource allocation in cellular systems for applications with random parameters (2015). abs/1507.07608

    Google Scholar 

  9. Q. Fang, Distinctions Between Levenberg–Marquardt Method and Tikhonov Regularization (Dartmouth College Publication, 2004).

    Google Scholar 

  10. M. Ghorbanzadeh, A. Abdelhadi, C. Clacy, Cellular Communications Systems in Congested Environments Resource Allocation and End-to-End Quality of Service Solutions with MATLAB (Springer, Berlin, 2017)

    Book  Google Scholar 

  11. M. Ghorbanzadeh, Resource allocation and end-to-end quality of service for cellular communications systems in congested and contested environments. Ph.D. Thesis, Virginia Tech, 2015

    Google Scholar 

  12. M. Ghorbanzadeh, Y. Chen, C. Clancy, Fine-grained end-to-end network model via vector quantization and hidden Markov processes, in IEEE Conference on Communications (ICC), 2013

    Google Scholar 

  13. M. Ibrahim, Channel quality indicator feedback in long term evolution (LTE) system. IOSR J. Electron. Commun. Eng. 9(2), 14—19 (2014)

    Article  Google Scholar 

  14. G. T. S. . R. 8, Multiplexing and channel coding (FDD)

    Google Scholar 

  15. 3rd Generation Partnership Project, Evolved universal terrestrial radio access (e-ULTRA): physical layer procedures (release 8), in TS 2008

    Google Scholar 

  16. X. Li, Q. Fang, L. Shi, A effective SINR link to system mapping method for CQI feedback in TD-LTE system, in 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering, vol. 2 (2011), pp. 208–211

    Google Scholar 

  17. M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, A utility proportional fairness radio resource block allocation in cellular networks, in IEEE International Conference on Computing, Networking and Communications (ICNC), 2015

    Google Scholar 

  18. M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, A utility proportional fairness bandwidth allocation in radar-coexistent cellular networks, in Military Communications Conference (MILCOM), 2014

    Google Scholar 

  19. A.J. Goldsmith, S.-G. Chua, Adaptive coded modulation for fading channels. IEEE Trans. Commun. 46(5), 595–602 (1998)

    Article  Google Scholar 

  20. D. Kim, B.C. Jung, H. Lee, D. K. Sung, H. Yoon, Optimal modulation and coding scheme selection in cellular networks with hybrid-ARQ error control. IEEE Trans. Wirel. Commun. 7(12), 5195–5201 (2008)

    Article  Google Scholar 

  21. J. Fan, Q. Yin, G.Y. Li, B. Peng, X. Zhu, MCS selection for throughput improvement in downlink LTE systems, in 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN) (IEEE, Piscataway, 2011), pp. 1–5

    Google Scholar 

  22. S. Boyd, L. Vandenberghe, Introduction to Convex Optimization with Engineering Applications (Cambridge University Press, Cambridge, 2004)

    MATH  Google Scholar 

  23. Y. Chen, M. Ghorbanzadeh, K. Ma, C. Clancy, R. McGwier, A hidden Markov model detection of malicious Android applications at runtime, in 2014 23rd Wireless and Optical Communication Conference (WOCC), 2014

    Google Scholar 

  24. F. Kelly, A. Maulloo, D. Tan, Rate control in communication networks: shadow prices, proportional fairness and stability. J. Oper. Res. Soc. 49(3), 237–252 (1998)

    Article  Google Scholar 

  25. S. Low, D. Lapsley, Optimization flow control, I: basic algorithm and convergence. IEEE/ACM Trans. Netw. 7(6), 861–874 (1999)

    Google Scholar 

  26. M. Portnoy, Virtualization Essentials (Wiley, London, 2012)

    Google Scholar 

  27. IBM, x3250 m4. IBM Redbooks Product Guide, 2011

    Google Scholar 

  28. A. Bachmutsky, System Design for Telecommunication Gateways (Wiley, 2010)

    Google Scholar 

  29. C. Spurgeon, Ethernet: The Definitive Guide (O’Reilly, 2014)

    Google Scholar 

  30. W. Stallings, Data and computer communications, in William Stallings Books on Computer and Data Communications, 2013

    Google Scholar 

  31. M. Ghorbanzadeh, E. Visotsky, P. Moorut, W. Yang, C. Clancy, Radar inband and out-of-band interference into LTE macro and small cell uplinks in the 3.5 GHz band, in 2015 IEEE Wireless Communications and Networking Conference (WCNC), 2015

    Google Scholar 

  32. M. Ghorbanzadeh, E. Visotsky, P. Moorut, W. Yang, C. Clancy, Radar in-band interference effects on macrocell LTE uplink deployments in the U.S. 3.5 GHz band, in 2015 International Conference on Computing, Networking and Communications (ICNC), 2015

    Google Scholar 

  33. M. Ghorbanzadeh, E. Visotsky, P. Moorut, W. Yang, C. Clancy, Radar interference into LTE base stations in the 3.5 GHz band. Phys. Commun. 20, 33–47 (2016)

    Google Scholar 

  34. H. Shajaiah, M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, Application-aware resource allocation based on channel information for cellular networks, in 2019 IEEE Wireless Communications and Networking Conference (WCNC) (2019), pp. 1–6

    Google Scholar 

  35. M. Ghorbanzadeh, A. Abdelhadi, C. Clancy, Application-aware resource allocation of hybrid traffic in cellular networks. IEEE Trans. Cogn. Commun. Netw. 3(2), 226–241 (2017)

    Article  Google Scholar 

  36. L. Chappell, G. Combs, Wireshark Network Analysis: The Official Wireshark Certified Network Analyst Study Guide (Protocol Analysis Institute, Chappell University, 2010)

    Google Scholar 

  37. A. Abdelhadi, T. Clancy, An optimal resource allocation with frequency reuse in cellular networks (2015). abs/1507.07161

    Google Scholar 

  38. I.-H. Hou, C.S. Chen, Self-organized resource allocation in LTE systems with weighted proportional fairness, in 2012 IEEE International Conference on Communications (ICC), 2012

    Google Scholar 

  39. K. Levenberg, A method for the solution of certain non-linear problems in least squares. Q. Appl. Math. 2(2), 164–168 (1944)

    Article  MathSciNet  Google Scholar 

  40. D. Marquardt, An algorithm for least-squares estimation of nonlinear parameters. SIAM J. Appl. Math. 11(2), 431–441 (1963)

    Article  MathSciNet  Google Scholar 

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Ghorbanzadeh, M., Abdelhadi, A. (2022). Resource Allocation Without Channel. In: Practical Channel-Aware Resource Allocation. Springer, Cham. https://doi.org/10.1007/978-3-030-73632-3_3

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  • DOI: https://doi.org/10.1007/978-3-030-73632-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73631-6

  • Online ISBN: 978-3-030-73632-3

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