Results 31 to 40 of about 20,102 (166)

Impact of improper Gaussian signaling on hardware impaired systems [PDF]

2017 IEEE International Conference on Communications (ICC), 2017
In this paper, we accurately model the hardware impairments (HWI) as improper Gaussian signaling (IGS) which can characterize the asymmetric characteristics of different HWI sources. The proposed model encourages us to adopt IGS scheme for transmitted signal that represents a general study compared with the conventional scheme, proper Gaussian ...
Sidrah Javed, Osama Amin, Salama S. Ikki, Mohamed-Slim Alouini   +3 more
openaire   +1 more source

A Unified Performance Analysis of Cooperative NOMA With Practical Constraints: Hardware Impairment, Imperfect SIC and CSI

IEEE Access, 2022
Non-orthogonal multiple access (NOMA) has been a strong candidate to support massive connectivity in future wireless networks. In this regard, its implementation into cooperative relaying, named cooperative-NOMA (CNOMA), has received tremendous attention
Safia Beddiaf, Abdellatif Khelil, Faical Khennoufa, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled Rabie, Halim Yanikomeroglu   +7 more
doaj   +1 more source

Beamforming Optimization for IRS-Aided Communications With Transceiver Hardware Impairments [PDF]

IEEE Transactions on Communications, 2021
Accepted by IEEE Transactions on ...
Hong Shen 0002, Wei Xu 0001, Shulei Gong, Chunming Zhao 0001, Derrick Wing Kwan Ng   +4 more
openaire   +2 more sources

Secured NOMA Full-Duplex Transmission With Energy Harvesting

IEEE Access
Nonorthogonal multiple access (NOMA) enhances spectral efficiency by enabling manifold devices to utilize the same frequency-time resource through nonorthogonal signal superposition.
Toi Le-Thanh, Khuong Ho-Van
doaj   +1 more source

Outage Performance Analysis of Reconfigurable Intelligent Surfaces-Aided NOMA Under Presence of Hardware Impairment

IEEE Access, 2020
The future of wireless communications looks exciting with the potential new use cases and challenging requirements of future 6th generation (6G) wireless networks.
Atluri Hemanth, Kaveti Umamaheswari, Arjun Chakravarthi Pogaku, Dinh-Thuan Do, Byung Moo Lee   +4 more
doaj   +1 more source

Impact of Hardware Impairment on the Uplink SIMO Cooperative NOMA With Selection Relay Under Imperfect CSI

IEEE Access, 2023
Non-orthogonal multiple access (NOMA) has emerged as a promising solution for enabling massive connectivity in future wireless networks. A great deal of research has extensively considered the implementation of the NOMA with other technologies such as ...
Safia Beddiaf, Abdellatif Khelil, Faical Khennoufa, Ferdi Kara, Khaled Rabie, Xingwang Li, Hakan Kaya, Ahmet Emir, Halim Yanikomeroglu   +8 more
doaj   +1 more source

Capacity Optimization of Large Intelligent Surface With Hardware Impairment Based on Meta-Deep Learning

IEEE Access
This work proposes a sub-optimal method based on a two-layer structured meta-deep reinforcement learning (MDRL) approach to address the hardware impairment (HWI) optimization issue in large intelligent surface (LIS) systems.
Yifan Mao, Xiaoyu Xiao, Zhirun Hu
doaj   +1 more source

On Bandwidth Efficiency analysis for LS-MIMO with Hardware Impairments

IEEE Access, 2017
Large scale multiple-input-multiple output (LS-MIMO) systems are one of the most promising candidates for 5th generation wireless communication networks. Many researchers have claimed that LS-MIMO systems increase energy efficiency (EE) and bandwidth efficiency (BE) exponentially because of large number of antennas. Significant increase in transmission
Talha Younas, Jiandong Li 0001, Jehangir Arshad Meo   +2 more
openaire   +2 more sources

Estimation of Broadband Time-Interleaved ADC’s Impairments and Performance Using Only Single-Tone Measurements

IEEE Access, 2022
This paper presents a method to estimate the internal impairment parameters of broadband time-interleaved (TI) ADCs using only single-tone measurement data acquired at two different frequencies.
Hong Zhang, Ahmad Hassan, Paul Chen, W. Martin Snelgrove, Anthony Chan Carusone   +4 more
doaj   +1 more source

Digital Twin-Driven Continual Deep Reinforcement Learning for Coexistence of Multiple Radio Access Technology IoT Links With Nonlinear Receivers

IEEE Transactions on Machine Learning in Communications and Networking
This article investigates the coexistence of downlink Internet-of-Things (IoT) links enabled by multiple radio access technologies (RATs), including long-term evolution (LTE) and 5G new radio (NR).
Nahed Belhadj Mohamed, Georges Kaddoum, Md. Zoheb Hassan   +2 more
doaj   +1 more source