Beamforcing for Efficient Spectrum Sensing Based TRMS
Keywords:
AINs, Opportunistic Network, Adaptive Routing Protocols, Forwarding and Dropping, New Routing ProtocolsAbstract
This manuscript shows a novel routing protocol for Active-Inactive networks (AINs) called Signal-to-Interference-plus-Noise-Ratio (SINR). SINR sagaciously coordinates the sending and buffer administration arrangements into a versatile protocol that incorporates a neighborhood organize parameters estimation instrument. It powerfully changes the delivery likelihood for messages as indicated by another metric. In the interim, SINR organizes the sending arrangement and the dropping need in light of their doled out weight. The weight is controlled by the Replication Density (RD), the Message Length (ML), and Message Excess Life Time (MELT). A broad recreation of SINR was done and its execution was contrasted with surely understood AIN routing protocols: PRoPHET, and Epidemic Routing protocols. Reenactment comes about demonstrate that the proposed routing protocol beats them as far as bundle delivery proportion, delivery deferral and message overhead.
References
M. Sharif and B. Hassibi, “On the capacity of MIMO broadcast channels with partial side information,” IEEE Trans. Inf. Theory, vol. 51, no. 2, pp. 506–522, Feb. 2005.
M. Pugh and B. D. Rao, “Reduced feedback schemes using random beam- forming in MIMO broadcast channels,” IEEE Trans. Signal Process., vol. 58, no. 3, pp. 1821–1832, Mar. 2010.
J. Diaz, O. Simeone, and Y. Bar-Ness, “Asymptotic analysis of reduced- feedback strategies for MIMO Gaussian broadcast channels,” IEEE Trans. Inf. Theory, vol. 54, no. 3, pp. 1308–1316, Mar. 2008.
T. Samarasinghe, H. Inaltekin, and J. S. Evans, “Optimal selective feed- back policies for opportunistic beamforming,” IEEE Trans. Inf. Theory, vol. 59, no. 5, pp. 2897–2913, May 2013.
S. Tamilarasan, P. Kumar, "A Survey on Dynamic Resource Allocation in MIMO Heterogeneous Cognitive Radio Networks based on Priority Scheduling", International Journal of Computer Sciences and Engineering, Vol.5, Issue.1, pp.53-59, 2017.
H. Dhillon, M. Kountouris, and J. G. Andrews, “Downlink MIMO HetNets: Modeling, ordering results and performance analysis,” IEEE Trans. Wireless Commun., vol. 12, no. 10, pp. 5208–5222, Oct. 2013.
Ndagijimana Adonia, Musabe Richard, Gaurav Bajpai, Ahishakiye Faustin, "Evaluation of a Model to Enhance Resource Allocated to Device-to-Device Communication in CDMA based Cellular Systems - Resource Capacity Analysis", International Journal of Scientific Research in Network Security and Communication, Vol.4, Issue.4, pp.1-7, 2016.
J. G. Andrews, H. Claussen, M. Dohler, S. Rangan, and M. C. Reed, “Femtocells: Past, present, and future,” IEEE J. Sel. Areas Commun., vol. 30, no. 3, pp. 497–508, Apr. 2012.
M. Haenggi and R. K. Ganti, “Interference in large networks,” Found. Trends Netw., vol. 2, pp. 127–248, Nov. 2009.
M. Haenggi, J. G. Andrews, F. Baccelli, O. Dousse, and M. Franceschetti, “Stochastic geometry and random graphs for the analysis and design of wireless networks,” IEEE J. Sel. Areas Commun., vol. 27, no. 7, pp. 1029– 1046, Sep. 2009.
M. Haenggi, “Stochastic Geometry for Wireless Networks”. Cambridge, U.K.: Cambridge Univ. Press, 2012.
H. ElSawy, E. Hossain, and M. Haenggi, “Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: A survey,” IEEE Commun. Surveys Tuts., vol. 15, no. 3, pp. 996–1019, Jul. 2013.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
