86
Views
0
CrossRef citations to date
0
Altmetric
Review Article

Joint Initial Uplink Synchronization and Interference Aware Resource Allocation for D2D Communication in the MU-OFDMA System

ORCID Icon &
Pages 3222-3241 | Published online: 26 Apr 2021
 

ABSTRACT

Over recent epoch, initial uplink synchronization has become an essential part of the wireless communication systems owing to its amenities in the identification of new users to originate communication. Yet, allocating and sharing resources to users is a bottleneck due to the interference caused by multiple users. Besides, preceding works didn't concentrate on the usage of an effective mechanism to estimate the parameters of the received signal in the multiuser synchronization environment. These downsides affect the throughput and spectrum efficiency of the designed OFDMA system. To address these bottlenecks, this paper proposes the Joint Initial Uplink Synchronization and Interference Aware Resource Allocation (JIUS-IRA) in the Multi-User OFDMA system. JIUS-IRA comprises four processes: Parameter Estimation, Optimum Antenna Selection, Resource Allocation, and Resource Sharing. Initially, JIUS-IRA executes the Fast Block Least Mean Square-based Parameters Estimation Scheme (FBLMS-PES) to estimate the user parameters. To reduce the power consumption during transmission between 5G MIMO base station and users, JIUS-IRA selects the optimal antenna for transmission. The Sign Rank Oriented Resource Allocation (SO-RA) method is executed to allocate sub-channel resources to the cellular user. The resource requirement of D2D users present in the OFDMA system is resolved via the Harris Hawks Optimizer based Resource Sharing Scheme (H2ORSS). The numerical results acquired from the simulation are highly confidential with regard to metrics Root Mean Square Error (RMSE) of timing estimation (∼0.006), RMSE of power estimation (∼0.0079), RMSE of frequency estimation (∼ 0.008), Throughput (∼95%), Spectrum Efficiency (∼11.9 bps), and Complexity (0.045 × 104).

Additional information

Notes on contributors

Naveen K. N.

Naveen K N was born in Karnataka, India. He received the BE degree in electronics and communication engineering from Visvesvaraya Technological University, Karnataka, India, in 2011 and the MTech degree in digital communication and networking from Visvesvaraya Technological University, Karnataka, India, in 2014. He is currently pursuing his PhD degree in wireless communication with Visvesvaraya Technological University. His current research interests focus on uplink synchronization in OFDMA systems, including the initial ranging process in WiMAX systems, the random-access procedure in LTE systems, etc.

K. Ramesha

K Ramesha obtained the BE degree in electronics and communication from Gulbarga University, MTech degree in electronics from Visvesvaraya Technological University, and his PhD degree in electronics and communication engineering at JNTU Hyderabad, under the guidance of Dr K B Raja, professor, Department of Electronics and Communication Engineering, University Visvesvaraya College of Engineering. He has over 42 research publications in Scopus indexed and refereed international journals and conference proceedings. He is currently professor, in the Department of Electronics and Instrumentation Engineering, Dr Ambedkar Institute of Technology, Bangalore. His research interests include image processing, computer vision and machine learning, artificial intelligence, pattern recognition, biometrics, VLSI and communication Engineering. He is a life member of Indian Society for Technical Education, New Delhi. Email: [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 100.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.