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Optimal Spectrum Utilization and Flow Controlling In Heterogeneous Network with Reconfigurable Devices

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Fairness provisioning in heterogeneous networks is a prime issue for high-rate data flow, wherein the inter-connectivity property among different communication devices provides higher throughput. In Hetnet, optimal resource utilization is required for efficient resource usage. Proper resource allocation in such a network led to higher data flow performance for real-time applications. In view of optimal resource allocation, a resource utilization approach for a reconfigurable cognitive device with spectrum sensing capability is proposed in this paper. The allocation of the data flow rate at device level is proposed for optimization of network fairness in a heterogeneous network. A dynamic approach of rate-inference optimization is proposed to provide fairness in dynamic data traffic conditions. The simulation results validate the improvement in offered quality in comparison to multi-attribute optimization.
Rocznik
Strony
269--277
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
autor
  • ECE Department, Icfai Tech School, IFHE University and Research Scholar at JNTU Anantapur, India
autor
  • ECE Department, NSAKCET, Hyderabad, India
  • ECE Department, NSACET, Hyderabad, India
Bibliografia
  • [1] R. Amin, J. Martin, J. Deaton, L. A. DaSilva, A. Hussien, A. Eltawil, “Balancing spectral efficiency, energy consumption, and fairness in future heterogeneous wireless systems with reconfigurable devices,” IEEE Journal on Selected Areas in Communications, vol. 31(5), pp. 969-980, 2013. DOI: 10.1109/JSAC.2013.130515
  • [2] S. K. Sharma, S. Chatzinotas, B. Ottersten. "Interference alignment for spectral coexistence of heterogeneous networks," EURASIP Journal on Wireless Communications and Networking , vol. 201(1), pp. 1-14, 2013. DOI: 10.1186/1687-1499-2013-46
  • [3] S.V. Hanly, C. Liu, P. Whiting, "Capacity and stable scheduling in heterogeneous wireless networks." IEEE Journal on Selected Areas in Communications vol. 33(6), pp. 1266-1279, 2015. DOI: 10.1109/JSAC.2015.2416971
  • [4] H. M. Tahir, A. H. Al-Ghushami, Z. R. Yahya, "Selection of access network using cost function method in heterogeneous wireless network." Multimedia Computing and Systems (ICMCS), 2014 International Conference on. IEEE, 2014.
  • [5] A. Khandekar, N. Bhushan, J. Tingfang, V. Vanghi, “LTE-advanced: Heterogeneous networks”, In Wireless Conference (EW), 2010 European (pp. 978-982), IEEE, 2010.
  • [6] W. Mansouri, K. Mnif, F. Zarai, M. S. Obaidat, “A new multi-rat scheduling algorithm for Heterogeneous wireless networks”, Journal of Systems and Software, Elsevier, 2015.
  • [7] F. W. Karam, T. Jensen, "On schemes for supporting QoS and mobility in heterogeneous networks." Proceedings of the 7th International Conference on Frontiers of Information Technology. ACM, 2009.
  • [8] M. Liu, Y. Teng, M. Song. "Tradeoff Analysis between Spectrum Efficiency and Energy Efficiency in Heterogeneous Networks (HetNets) Using Bias Factor." Journal of Communications 10.10, 2015.
  • [9] K. Son, E. Oh, B. Krishnamachari. "Energy-efficient design of heterogeneous cellular networks from deployment to operation."Computer Networks vol. 78, pp. 95-106, 2015.
  • [10] G. He, S. Zhang, Y. Chen, S. Xu, “Spectrum efficiency and energy efficiency tradeoff for heterogeneous wireless networks”, In 2013 IEEE Wireless Communications and Networking Conference (WCNC), pp. 2570-2574, IEEE, 2013.
  • [11] R. Q. Hu, Y. Qian, "An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems." IEEE Communications Magazine vol. 52.5 (2014), pp. 94-101, 2014.
  • [12] J. B. Rao, A. O. Fapojuwo, "Analysis of Spectrum Efficiency and Energy Efficiency of Heterogeneous Wireless Networks With Intra-/Inter-RAT Offloading," IEEE Transactions on Vehicular Technology 64.7 (2015), pp. 3120-3139, 2015.
  • [13] H. Shi, J. Li, Z. Li, H. Ju. "Dynamic spectrum allocation in heterogeneous wireless networks under interference constraints across the cell coverage." Wireless Communications and Mobile Computing15, no. 7 (2015), pp. 1188-1197, 2015.
  • [14] B. Iancu, D. Vasile, A. Peculea. "A novel end-to-end QoS framework over heterogeneous networks-an architectural approach."Acta Technica Napocensis 51.2 (2010): 42, 2010.
  • [15] L. Badia, M. Miozzo, M. Rossi, M. Zorzi, „Routing schemes in heterogeneous wireless networks based on access advertisement and backward utilities for QoS support [Quality of Service based Routing Algorithms for Heterogeneous Networks],“ . IEEE Communications Magazine, 45(2), pp. 67-73, 2007.
  • [16] K. Yang, Y. Wu, H. H. Chen. "QoS-aware routing in emerging heterogeneous wireless networks [Quality-of-Service-Based Routing Algorithms for Heterogeneous Networks]." IEEE Communications Magazine 45.2 (2007), pp. 74-80, 2007.
  • [17] F. Richter, A. J. Fehske, P. Marsch, G.P. Fettweis, (2010, May). Traffic demand and energy efficiency in heterogeneous cellular mobile radio networks. In Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st, pp. 1-6. IEEE.
  • [18] G. Fodor, E. Anders, A. Tuoriniemi. "Providing quality of service in always best connected networks." IEEE Communications Magazine 41.7 (2003), pp. 154-163, 2003.
  • [19] G. Aristomenopoulos, T. Kastrinogiannis, Z. Li, S. Papavassiliou, (2011), “An autonomic qos-centric architecture for integrated heterogeneous wireless networks”, Mobile Networks and Applications, 16(4), pp. 490-504, 2011.
  • [20] J. C. Clement, B. B. Reddy, D. S. Emmanuel, "An Energy-Efficient Cooperative Spectrum Sensing Strategy with Robustness Against Noise Uncertainty for Cognitive Radio Networks." Arabian Journal for Science and Engineering (2015), pp. 1-7, 2015.
  • [21] Z. Dai, J. Liu, C. Wang. "QoS-based device-to-device communication schemes in heterogeneous wireless networks." IET Communications 9.3 (2015), pp. 335-341, 2015.
  • [22] R. Xie, F. R. Yu, H. Ji. "Dynamic resource allocation for heterogeneous services in cognitive radio networks with imperfect channel sensing." IEEE Transactions on Vehicular Technology 61.2 (2012): 770-780, 2012.
  • [23] W. Sheikh, A. Ghafoor, “Quality-of-service routing in heterogeneous networks with optimal buffer and bandwidth allocation”, In2007 IEEE International Conference on Communications (pp. 480-485) IEEE, 2007.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2bfc7a0a-0a53-4e6f-8307-e4f2595440b8
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