Proceedings ArticleDOI
Dynamic Channel State Information based Relay Selection in Device-to-Device Communication
D. Prabakar,N. Lakshmy,S. Vishnu +2 more
- pp 744-747
TLDR
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.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.read more
Citations
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Journal ArticleDOI
IoT-Enabled Solid Waste Management in Smart Cities
S. Vishnu,S. R. Jino Ramson,S. Senith,Theodoros Anagnostopoulos,Adnan M. Abu-Mahfouz,Xiaozhe Fan,Shuba Srinivasan,A. Alfred Kirubaraj +7 more
TL;DR: This work proposes an IoT-enabled solid waste management system for smart cities to overcome the limitations of the traditional waste management systems and measures the sleep current and active current contributions of a PBLMU to estimate its average current consumption.
References
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Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
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Jinsong Gui,Jian Deng +1 more
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Opportunistic Two-Way Full-Duplex Relay Selection in Underlay Cognitive Networks
Bin Zhong,Zhongshan Zhang +1 more
TL;DR: The performance of secondary user in underlay cognitive networks is analyzed by considering opportunistic selection of two-way full-duplex (FD)-based amplify-and-forward (AF) relays, and results show that the performance of the secondary users can be substantially influenced by parameters such as the number of relays, the average SNR, the primary user’s tolerable interference threshold.
Journal ArticleDOI
Training Sequence Design for Feedback Assisted Hybrid Beamforming in Massive MIMO Systems
TL;DR: This paper considers the problem of training sequence design and the mapping of training signals to training periods, and focuses on reduced-dimension training sequence designs, along with transmit precoder designs, aimed at reducing both hardware complexity and power consumption.
Posted Content
Training Sequence Design for Feedback Assisted Hybrid Beamforming in Massive MIMO Systems
TL;DR: In this paper, the authors considered the problem of training sequence design that employs a set of training signals and its mapping to the training periods, and extended the resulting designs to hybrid analog-digital beamforming systems, which employ a limited number of active RF chains for transmit precoding.
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