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20182020
most citedGrant-Free Random Access in Machine-Type Communication: Approaches and Challenges

8 citations · 8 across the 2 of their papers we have counts for

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5 papers · 1 filter

eess.SP2020

Subcarrier-wise Backscatter Communications over Ambient OFDM for Low Power IoT

Mahyar Nemati, Morteza Soltani, Jie Ding +1

Ambient backscatter communication (AmBC) over orthogonal-frequency-division-multiplexing (OFDM) signals has recently been proposed as an appealing technique for low power Internet-…

eess.SP2020

Short-Range Ambient Backscatter Communication Using Reconfigurable Intelligent Surfaces

Mahyar Nemati, Jie Ding, Jinho Choi

Ambient backscatter communication (AmBC) has been introduced to address communication and power efficiency issues for short-range and low-power Internet-of-Things (IoT) application…

eess.SP2020

Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO

Jie Ding, Daiming Qu, Pei Liu +1

Preamble collision is a bottleneck that impairs the performance of random access (RA) user equipment (UE) in grant-free RA (GFRA). In this paper, by leveraging distributed massive…

eess.SP2020

IoT Connectivity Technologies and Applications: A Survey

Jie Ding, Mahyar Nemati, Chathurika Ranaweera +1

The Internet of Things (IoT) is rapidly becoming an integral part of our life and also multiple industries. We expect to see the number of IoT connected devices explosively grows a…

eess.SP2019

Optimal Preamble Length for Spectral Efficiency in Grant-Free RA with Massive MIMO

Jie Ding, Daiming Qu, Hao Jiang

Grant-free random access (RA) with massive MIMO is a promising RA technique for massive access with low signaling overhead. In the grant-free RA with massive MIMO, preamble length…