Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 8, August 2016
Joint Beam Forming Power and Channel Allocation in Multi User and Multi Channel using Multiple Relay MIMO Cognitive Radio Networks
P. Prabhu Justin | G. Rama Krishna
Abstract: In this paper, the joint beam forming, power, and channel allocation in a very multi-user and multi-channel underlay a couple of input single outputs (MISO) cognitive radio network (CRN) machine, primary users (PUs) spectrum can be reused via the secondary consumer transmitters (SUTXs) to maximize the spectrum utilization even as the intra-consumer interference is minimized through implementing beam forming at each SU-TX. Formulate procedure on CR community and put in force beam forming shape on unique user based totally precise distance analysis on Singular Valued Decomposition (SVD) using receiver part of analysis. Without beam forming the use of channel allocation on a couple of customers, the performance of cooperative communication is degraded. So on this project imposing multi channel on multiple user analysis of relay direction primarily based throughput charge evaluation on CR network on SVD with comparison of semi definite relaxation approach analysis. Expecting proposed allocation scheme has substantial development on throughput rate more on CR network secondary customers.
Keywords: Cognitive radio network, Singular Valued Decomposition
Edition: Volume 5 Issue 8, August 2016,
Pages: 179 - 184
How to Cite this Article?
P. Prabhu Justin, G. Rama Krishna, "Joint Beam Forming Power and Channel Allocation in Multi User and Multi Channel using Multiple Relay MIMO Cognitive Radio Networks", International Journal of Science and Research (IJSR), Volume 5 Issue 8, August 2016, pp. 179-184, https://www.ijsr.net/get_abstract.php?paper_id=ART2016715
How to Share this Article?
Similar Articles with Keyword 'Cognitive radio network'
Survey on Bio-Inspired Approaches for Allocation of Spectrum in Cognitive Radio Sensor Networks
Debashree Brahma | Dr. Swati Swayamsiddha
Statistical Simulation for BIST Architecture using Cognitive Principles