User Content Delivery Service for Efficient POMA based LTE Channel Spectrum Scheduling Algorithm
V. Madhu Kumar1, T. V. Ramana2, Rajidi Sahithi3
1Mr. V. Madhu Kumar, Assistant Professor, Department of ECE, JITS, Warangal (Telangana), India.
2Dr. T. V. Ramana, Associate Professor, Department of ECE, GITAM Deemed to be University, Visakhapatnam (Andhra Pradesh), India.
3Rajidi Sahithi, Assistant Professor, Department of ECE, CME College of Engineering and Technology, Hyderabad (Telangana), India.
Manuscript received on 22 November 2019 | Revised Manuscript received on 10 December 2019 | Manuscript Published on 30 December 2019 | PP: 58-61 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10141292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1014.1292S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Currently Long-Term Evolution (LTE) technologies are developing with an advanced network content delivery infrastructure sharing capabilities for different users and operators. Therefore, an efficient open-infrastructure of Position-orthogonal multiple access (POMA) based LTE networks with the content delivery capability is crucial to design and implement at this stage of research in LTE area. In this paper, the main contribution is the design and implementation of such LTE networks users open-infrastructure to enable the content delivery and sharing capabilities to be performed in virtual iterative precoding architectures. The proposed user content delivery infrastructure enables this service and sharing to the components of LTE architecture. A channel spectrum scheduling algorithm has been implemented through validation with test level experiments conducted to estimate the compatibility of LTE infrastructure virtualization in proposed open-infrastructure. The impact and scope of the proposed algorithm service can make the operational cost of the LTE mobile user to reduce.
Keywords: Long-term Evolution (LTE), Channel, Service, Sharing, Scheduling.
Scope of the Article: Algorithm Engineering