COLLABORATIVE STRATEGY BASED ENERGY EFFICIENT ROUTING USING RPRA
DOI:
https://doi.org/10.61841/39c7j650Keywords:
RPRA, WSN, HetNetAbstract
In order to satisfy the growing cell data-visitors, spatial densification of community with numerous low-strength nodes, the excessive-strength macro BS and HetNet are the principal key permitting solution. However, the HetNet is unplanned in nature, reasons irregularities and interferences that with none consumer affiliation rules. The suitable deployment of the femto-mobileular in HetNet can offer powerful visitors offloading, in which the alleviate mobbing withinside the macro-cells can lower the strength intake consequently it optimizes the consumer experience. Moreover, the safety is likewise critical for the macro and femto mobileular customers in a community thru preserving the min-max degree of interferences. In this work, we proposed RPRA that contains strong method consisting of strong strength-controller and the strong channel-allocation method, that may enhance the spectral performance and consumer reports at decrease community insurance regions thru casting off the week insurance zones. Also offer excessive consumer fee connection with the aid of using powerful interference in an green spectrum, reducing in transmission strength and cost-effectiveness thru much less time put off. To display the effectiveness of our proposed version we've as compared with numerous current strategies and we were given substantial development in throughput, additionally discount in time put off and transmission strength.
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References
[1] J. Andrews, H. Claussen, M. Dohler, S. Rangan, and M. Reed, “Femtocells: Past, present, and future,” IEEE
Journal on Selected Areas in Communications, vol. 30, no. 3, pp. 497–508, Apr 2012.
[2] D. Sun, X. Zhu, Z. Zeng, and S. Wan, “Downlink power control in cognitive femtocell networks,” in 2011
International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1–5, Nov 2011.
[3] C. Chen, F. Baccelli, L. Roullet, “Joint optimization of radio resources in small and macro cell networks,” in
Proc.IEEEVTCSpring, 2011.
[4] Q. Li, R. Hu, G. Wu, and Y. Qian, “Ontheoptimalmobile association in heterogeneous wireless relay networks,”
in Proc. IEEE INFOCOM, 2012.
[5] D. Fooladivanda and C. Rosenberg, “Joint resource allocation and user association for heterogeneous wireless
cellular networks,” IEEE Trans.Wireless Commun, vol. 12, no. 1, pp. 248-257, Jan 2013.
[6] L. Zhang, L. Yang, and T. Yang, “Cognitive interference management for LTE-A femtocells with distributed
carrier selection,” in 2010 IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall), pp. 1–5, Sept 2010.
[7] R. Xie, F. Yu, and H. Ji, “Spectrum sharing and resource allocation for energy-efficient heterogeneous cognitive
radio networks with femtocells,” in 2012 IEEE International Conference on Communications (ICC), pp. 1661–1665.
Jun 2012.
[8] S. Lien, Y. Lin, and K. Chen, “Cognitive and game-theoretical radio resource management for autonomous
femtocells with QoS guarantees,” IEEE Transactions on Wireless Communications, vol. 10, no. 7, pp. 2196–2206,
Jul 2011.
[9] D. López-Pérez, X. Chu, A. V. Vasilakos, and H. Claussen, “Power minimization based resource allocation for
interference mitigation in OFDMA femtocell networks,” IEEE Journal on Selected Areas in Communications, vol.
32, no. 2, pp. 333–344, 2014.
[10] H. ElSawy and E. Hossain, "Two-Tier HetNets with Cognitive Femtocells: Downlink Performance Modeling
and Analysis in a Multichannel Environment," in IEEE Transactions on Mobile Computing, vol. 13, no. 3, pp. 649-
663, Mar 2014.
[11] F. Rezaei, M. Hempel and H. Sharif, "LTE PHY performance analysis under 3GPP standards parameters,"
2011 IEEE 16th International Workshop on Computer Aided Modeling and Design of Communication Links and
Networks (CAMAD), Kyoto, pp. 102-106, 2011.
[12] G. Mansfield, “Femtocells in the US market—business drivers and consumer propositions,” in Proc. 2008
FemtoCells Europe, pp. 1927–48.
[13] V. Chandrasekhar and J. G. Andrews, “Femtocell networks: a survey,” IEEE Commun. Mag., vol. 46, no. 9, pp.
59–67, Sep. 2008.
[14] S. Yeh, S. Talwar, S. Lee, and H. Kim, “WiMAX femtocells: a perspective on network architecture, capacity,
and coverage,” IEEE Commun. Mag., vol. 46, no. 10, pp. 58–65, Oct. 2008.
[15] V. Chandrasekhar and J. Andrews, “Spectrum allocation in tiered cellular networks,” IEEE Commun. Mag.,
vol. 57, no. 10, pp. 3059–3068, Oct. 2009.
[16] D. Lopez-Perez, A. Valcarce, and G. de la Roche, “OFDMA femtocells: a roadmap on interference avoidance,”
IEEE Commun. Mag., vol. 47, no. 9, pp. 41–48, Oct 2009.
[17] M. Neruda, J. Varana, and R. Bestak, “Femtocells in 3G mobile networks,” in Proc. 2009 IEEE Int. Conf. Syst.,
Signal Image Process., pp. 1–4, 2009.
[18] Q. Su, A. Huango, Z. Wu, G. Yu, Z. Zhang, K. Xu, and J. Yang, “A distributed dynamic spectrum access and
power allocation algorithm for femtocell networks,” in Proc. 2009 IEEE Int. Conf. Wireless Commun. Signal Process, 2009., pp. 1–5.
[19] C. Chen and S. J. Baek, "Multicast Scheduling for Relay-Based Heterogeneous Networks Using Rateless
Codes," in IEEE Transactions on Mobile Computing, vol. 16, no. 11, pp. 3142-3155, Nov 2017.
[20] X. Ge, X. Li, H. Jin, J. Cheng and V. C. M. Leung, "Joint User Association and Scheduling for Load Balancing
in Heterogeneous Networks," 2016 IEEE Global Communications Conference (GLOBECOM), 2016, pp. 1-6.
[21] H. Zhang, F. Fang, J. Cheng, K. Long, W. Wang and V. C. M. Leung, "Energy-Efficient Resource Allocation in
NOMA Heterogeneous Networks," in IEEE Wireless Communications, vol. 25, no. 2, pp. 48-53, Apr 2018.
[22] F. H. Panahi, F. H. Panahi, G. Hattab, T. Ohtsuki and D. Cabrici, "Green heterogeneous networks via an
intelligent power control strategy and D2D communications," 2017 IEEE 28th Annual International Symposium on
Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, pp. 1-8, 2017.
[23] M. Wang, H. Gao and T. Lv., "Energy-Efficient User Association and Power Control in the Heterogeneous
Network," in IEEE Access, vol. 5, pp. 5059-5068, 2017.
[24] M. S. Jin, S. A. Chae and D. I. Kim, "Per Cluster Based Opportunistic Power Control for Heterogeneous
Networks," 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), Yokohama, 2011, pp. 1-5.
[25] C. W. Tan, "Optimal power control in Rayleigh-fading heterogeneous networks," 2011 Proceedings IEEE
INFOCOM, Shanghai, 2011, pp. 2552-2560.
[26] Olivier Rioul and José Carlos Magossi, “On Shannon’s Formula and Hartley’s Rule: Beyond the Mathematical
Coincidence,” Entropy, vol. 16, no. 9, pp. 4892-4910, 2014.
[27] Arani A.H.; Mehbodniya A.; Omidi M.J.; Adachi F.; Saad W. Guven, I., "Distributed learning for energy
efficient resource management in selforganizing heterogeneous networks." IEEE Trans. Veh. Technol., vol. 66, pp.
9287–9303, 2017.
[28] Zhang, H. J., Liu H., Cheng J., Leung V. C. M., “Downlink energy efficiency of power allocation and wireless
backhaul bandwidth allocation in heterogeneous small cell networks,” IEEE Trans. Commun, vol. 95, pp. 1–13,
2017.
[29] K. C. Almeida and R. Salgado, "Optimal power flow solutions under variable load conditions," in IEEE
Transactions on Power Systems, vol. 15, no. 4, pp. 1204-1211, Nov 2000.
[30] Horst R., Pardalos P. M., Thoai N.V., Introduction to Global Optimization, 2nd ed., USA: Kluwer Academic
Publishers, 2000.
[31] P. Seeling and M. Reisslein, "Video Transport Evaluation With H.264 Video Traces," in IEEE
Communications Surveys & Tutorials, Fourth Quarter 2012, vol. 14, no. 4, pp. 1142-1165, 2012.
[32] Christos Bouras, Vasileios Kokkinos and Andreas Papazois, “A simulation framework for lte-a systems with
femtocell overlays,” ACM New York, NY, USA, 2012.
[33] M. Sheng, J. Wen, J. Li, B. Liang and X. Wang, "Performance Analysis of Heterogeneous Cellular Networks
with HARQ Under Correlated Interference," in IEEE Transactions on Wireless Communications, vol. 16, no. 12, pp.
8377-8389, Dec 2017.
[34] Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol
Specification, document TS 36.331, Rev. 12.5.0, 3GPP, Mar 2015
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