E1134069520

Resource Allocation Algorithms for Indoor D2D Communication
K Dhivya¹, C.Arun², C Vidhya Shree³, R Sweta⁴, S Tamilarasi^5
1K Dhivya*, Electronics and Communication department, RMK College of Engineering and Technology, Thiruvallur, India.
²C.Arun, Electronics and Communication department, RMK College of Engineering and Technology, Thiruvallur, India.
³C Vidhya Shree, Electronics and Communication department, RMK College of Engineering and Technology, Thiruvallur, India.
⁴R Sweta, Electronics and Communication department, RMK College of Engineering and Technology, Thiruvallur, India.
⁵S Tamilarasi, Electronics and Communication department, RMK College of Engineering and Technology, Thiruvallur, India. 
Manuscript received on June 08, 2020. | Revised Manuscript received on June 25, 2020. | Manuscript published on June 30, 2020. | PP: 1292-1296 | Volume-9 Issue-5, June 2020. | Retrieval Number: E1134069520/2020©BEIESP | DOI: 10.35940/ijeat.E1134.069520
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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: Device to Device (D2D) communication in cellular networks is defined as direct communication between two mobile users without traversing the data through the base station (BS). Indoor D2D communication refers to transmission between two users within a building or in a closed space. Resource allocation is a plan for using available resources efficiently and the resources are allocated for optimal functioning of the D2D network. The algorithms for optimizing D2D network is characterized by the parameters like matching network, noise, throughput maximization and few more. In this work, our aim is to develop resource allocation algorithms for indoor D2D communication. An efficient resource allocation algorithm for device to device communication and a suitable frequency allocation technique in order to avoid call blockage should be designed. The main challenge in this work is to allocate resources to D2D users without affecting cellular users efficiency. These optimal resource allocation works efficiently and also adapt to time and location variation. The process involved in each algorithm is elaborated.
Keywords: Resource Allocation, Indoor D2D, Base Station, Optimizing D2D Network, MATLAB.