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Siswanto, D; Zhang, LX; Navaie, K (2016)
Publisher: IEEE
Languages: English
Types: Other
Subjects:
We formulate the resource allocation in the downlink of heterogeneous orthogonal frequency division multiple access (OFDMA) networks. Our primary objective is to maximize the system sum throughput subject to service and system constraints, including maximum transmit power, quality of service and per-user subchannel allocation. Due to the intercell interference, the corresponding optimization problem is, in fact, nonconvex, that cannot be solved using standard convex optimization techniques. Here we propose an algorithm based on local search method and use of penalty function to approximate the formulated constrained optimization problem by an unconstrained one. To approximate a global optimal, we set escaping procedure from the critical point based on constraint function conditions. The result shows that the proposed method might achieve optimum conditions by a hybrid of split and shared spectrum allocation. Numerical analysis indicates that the proposed algorithm outperform the other conventional methods in the scenario of the high level of inter-cell interference. Moreover, the proposed method approximates the global optimum by considering both channel gain and inter-cell interference with a fast rate of convergence.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Ericsson, “Ericsson Mobility Report: On the Pulse of the Networked Society,” Ericsson, Tech. Rep., June 2014. [Online]. Available: http://www. ericsson.com/res/docs/2014/ericsson-mobility-report-june-2014.pdf
    • [2] H. Claussen, L. T. Ho, and L. G. Samuel, “An overview of the femtocell concept,” Bell Labs Technical Journal, vol. 13, no. 1, pp. 221-245, Spring 2008.
    • [3] S. Andargoli and K. Mohamed-pour, “Weighted sum throughput maximisation for downlink multicell orthogonal frequency-division multiple access systems by intercell interference limitation,” Communications, IET, vol. 6, no. 6, pp. 628-637, April 2012.
    • [4] S. Boyd and L. Vandenberghe, Convex Optimization, ser. Berichte u¨ber verteilte messysteme. Cambridge University Press, 2004.
    • [5] M. Khoshkholgh, K. Navaie, and H. Yanikomeroglu, “Access Strategies for Spectrum Sharing in Fading Environment: Overlay, Underlay, and Mixed,” Mobile Computing, IEEE Transactions on, vol. 9, no. 12, pp. 1780-1793, Dec 2010.
    • [6] W. Yu, G. Ginis, and J. Cioffi, “Distributed Multiuser Power Control for Digital Subscriber Lines,” Selected Areas in Communications, IEEE Journal on, vol. 20, no. 5, pp. 1105-1115, Jun 2002.
    • [7] D. Siswanto, L. Zhang, and K. Navaie, “Spectrum splitting-based cognitive interference management in two-tier LTE networks,” in Wireless Communications Systems (ISWCS), 2014 11th International Symposium on, Aug 2014, pp. 613-617.
    • [8] A. Strekalovsky and M. Yanulevich, “Global search in the optimal control problem with a terminal objective functional represented as the difference of two convex functions,” Computational Mathematics and Mathematical Physics, vol. 48, no. 7, pp. 1119-1132, 2008.
    • [9] A. Goldsmith, Wireless Communications. New York, NY, USA: Cambridge University Press, 2005.
    • [10] A. Ruszczyn´ski, Nonlinear Optimization, ser. Nonlinear optimization. Princeton University Press, 2006, no. v. 13.
    • [11] 3GPP, “Further advancements for E-UTRA physical layer aspects (Release 9).” Technical Specification Group Radio Access Network. Evolved Universal Terrestrial Radio Access (E-UTRA). 3rd Generation Partnership Project (3GPP)., Technical Report 3GPP TR 36.814 V9.0.0 (2010-03), 2010. [Online]. Available: http://www.3gpp.org
    • [12] J. Jang and K. B. Lee, “Transmit power adaptation for multiuser OFDM systems,” Selected Areas in Communications, IEEE Journal on, vol. 21, no. 2, pp. 171-178, Feb 2003.
    • [13] A. Strekalovsky and M. Yanulevich, “Global search in a noncovex optimal control problem,” Journal of Computer and Systems Sciences International, vol. 52, no. 6, pp. 893-908, 2013.
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