Programs
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
- Post Doctoral Fellowship in EEG & Clinical Epileptology - Fellowship
Publication Type : Conference Paper
Publisher : IEEE
Source : Proceedings of the International Conference on Electronics and Sustainable Communication Systems (ICESC 2020)
Url : https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9155595
Campus : Coimbatore
School : School of Computing
Department : Department of Sciences
Year : 2020
Abstract : Relay selection in Device-to-Device (D2D) communication network is a prominent task due to the imperfect channel conditions and sensing intervals. This paper presents a dynamic channel state interval (CSI) based feedback design for improving the features of relay selection to improve the performance of the D2D communication networks. Based on the dynamic detection of imperfect channel conditions and sensing intervals, the precoding process is employed for the signal derivative in the relay selection process. The relay with a high order of signal output determines its selection. The performance of the proposed method is verified for the sum rate metric for the varying CSI bits, transmit power and inter-user distance.
Cite this Research Publication : Prabakar, D., N. Lakshmy, and S. Vishnu. "Dynamic Channel State Information based Relay Selection in Device-to-Device Communication." 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2020.