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20172022
most citedTwo-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN

52 citations · 62 across the 9 of their papers we have counts for

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Showing cs.ITShow all

9 papers · 1 filter

cs.IT20224 cited

Energy Efficient HARQ for Ultrareliability via Novel Outage Probability Bound and Geometric Programming

Kaiming Shen, Wei Yu, Xihan Chen +1

Hybrid automatic repeat 1 request (HARQ) is a key enabler for ultrareliable communications. This paper optimizes transmit power for the initial transmission and the subsequent retr…

cs.IT20201 cited

Joint User Scheduling and Resource Allocation for Millimeter Wave Systems Relying on Adaptive-Resolution ADCs

Xihan Chen, Yunlong Cai, An Liu +1

Millimeter wave (mmWave) communication systems using adaptive-resolution analog-to-digital converters (RADCs) have recently drawn considerable interests from the research community…

cs.IT20203 cited

Joint Beam Training and Data Transmission Design for Covert Millimeter-Wave Communication

Jiayu Zhang, Min Li, Shihao Yan +4

Covert communication prevents legitimate transmission from being detected by a warden while maintaining certain covert rate at the intended user. Prior works have considered the de…

cs.IT2020

Stochastic Transceiver Optimization in Multi-Tags Symbiotic Radio Systems

Xihan Chen, Hei Victor Cheng, Kaiming Shen +2

Symbiotic radio (SR) is emerging as a spectrum- and energy-efficient communication paradigm for future passive Internet-of-things (IoT), where some single-antenna backscatter devic…

cs.IT2019

Power Control for Massive MIMO Systems with Nonorthogonal Pilots

Xihan Chen, Kaiming Shen, Hei Victor Cheng +3

This letter shows that optimizing the transmit powers along with optimally designed nonorthogonal pilots can significantly reduce pilot contamination and improve the overall throug…

cs.IT2019

Efficient Resource Allocation for Relay-Assisted Computation Offloading in Mobile Edge Computing

Xihan Chen, Yunlong Cai, Qingjiang Shi +3

In this article, we consider the problem of relay assisted computation offloading (RACO), in which user A aims to share the results of computational tasks with another user B throu…