activity
20112023
most citedSub-channel Assignment, Power Allocation and User Scheduling for Non-Orthogonal Multiple Access Networks

469 citations · 2.4k across the 123 of their papers we have counts for

collaborators
Showing 2020Show all

22 papers · 1 filter

cs.IT2020

Reconfigurable Intelligent Surface assisted Multi-user Communications: How Many Reflective Elements Do We Need?

Hongliang Zhang, Boya Di, Zhu Han +2

Reconfigurable intelligent surfaces (RISs) consisting of multiple reflective elements are a promising technique to enhance communication quality as they can create favorable propag…

cs.IT2020★ 6 cited

Reconfigurable Intelligent Surface Enhanced NOMA Assisted Backscatter Communication System

Jiakuo Zuo, Yuanwei Liu, Liang Yang +2

A reconfigurable intelligent surface (RIS) enhanced non-orthogonal multiple access assisted backscatter communication (RIS-NOMABC) system is considered. A joint optimization proble…

eess.SP2020★ 2 cited

MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning

Jingzhi Hu, Hongliang Zhang, Kaigui Bian +3

Using RF signals for wireless sensing has gained increasing attention. However, due to the unwanted multi-path fading in uncontrollable radio environments, the accuracy of RF sensi…

cs.IT2020★ 7 cited

Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications

Yutong Zhang, Boya Di, Hongliang Zhang +3

Cell-free systems can effectively eliminate the inter-cell interference by enabling multiple base stations (BSs) to cooperatively serve users without cell boundaries at the expense…

eess.SP2020★ 10 cited

MetaLocalization: Reconfigurable Intelligent Surface Aided Multi-user Wireless Indoor Localization

Haobo Zhang, Hongliang Zhang, Boya Di +3

The received signal strength (RSS) based technique is extensively utilized for localization in the indoor environments. Since the RSS values of neighboring locations may be similar…

eess.SY2020★ 16 cited

Intelligent Omni-Surface: Ubiquitous Wireless Transmission by Reflective-Transmissive Metasurface

Shuhang Zhang, Hongliang Zhang, Boya Di +5

Intelligent reflecting surface (IRS), which is capable to adjust propagation conditions by controlling phase shifts of the reflected waves that impinge on the surface, has been wid…

cs.IT2020★ 11 cited

Reconfigurable Intelligent Surface (RIS) Assisted Wireless Coverage Extension: RIS Orientation and Location Optimization

Shuhao Zeng, Hongliang Zhang, Boya Di +2

Recently, reconfigurable intelligent surfaces (RIS) have attracted a lot of attention due to their capability of extending cell coverage by reflecting signals toward the receiver.…

eess.SP2020

On Spatial Multiplexing Using Reconfigurable Intelligent Surfaces

Mohamed A. ElMossallamy, Hongliang Zhang, Radwa Sultan +4

We consider an uplink multi-user scenario and investigate the use of reconfigurable intelligent surfaces (RIS) to optimize spatial multiplexing performance when a linear receiver i…

eess.SP2020★ 5 cited

Beyond Intelligent Reflecting Surfaces: Reflective-Transmissive Metasurface Aided Communications for Full-dimensional Coverage Extension

Shuhang Zhang, Hongliang Zhang, Boya Di +3

In this paper, we study an intelligent omni-surface (IOS)-assisted downlink communication system, where the link quality of a mobile user (MU) can be improved with a proper IOS pha…

eess.SP2020

Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs

Yujie Jin, Hongliang Zhang, Shuhang Zhang +2

In this letter, we study a buffer-aided Internet of unmanned aerial vehicles (UAVs) in which a UAV performs data sensing, stores the data, and sends it to the base station (BS) in…

eess.SP2020★ 5 cited

MetaRadar: Indoor Localization by Reconfigurable Metamaterials

Haobo Zhang, Jingzhi Hu, Hongliang Zhang +4

Indoor localization has drawn much attention owing to its potential for supporting location based services. Among various indoor localization techniques, the received signal streng…

eess.SP2020★ 4 cited

Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning

Jingzhi Hu, Hongliang Zhang, Lingyang Song +2

Due to the advantages of flexible deployment and extensive coverage, unmanned aerial vehicles (UAVs) have great potential for sensing applications in the next generation of cellula…

cs.IT2020★ 3 cited

Reconfigurable Intelligent Surface Assisted Device-to-Device Communications

Yali Chen, Bo Ai, Hongliang Zhang +4

With the evolution of the 5G, 6G and beyond, device-to-device (D2D) communication has been developed as an energy-, and spectrum-efficient solution. In cellular network, D2D links…

eess.SP2020★ 3 cited

Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface

Haobo Zhang, Hongliang Zhang, Boya Di +3

The received signal strength (RSS) based technique is widely utilized for ubiquitous positioning due to its advantage of simple implementability. However, its accuracy is limited b…

eess.SP2020★ 2 cited

Reconfigurable Intelligent Surface (RIS)-Enhanced Two-Way OFDM Communications

Chandan Pradhan, Ang Li, Lingyang Song +3

In this paper, we focus on the reconfigurable intelligent surface (RIS)-enhanced two-way device-to-device (D2D) multi-pair orthogonal-frequency-division-multiplexing (OFDM) communi…

eess.SP2020

Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities

Mohamed A. ElMossallamy, Hongliang Zhang, Lingyang Song +3

Recently there has been a flurry of research on the use of reconfigurable intelligent surfaces (RIS) in wireless networks to create smart radio environments. In a smart radio envir…

eess.SP2020

Beyond D2D: Full Dimension UAV-to-Everything Communications in 6G

Shuhang Zhang, Hongliang Zhang, Lingyang Song

In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular networks, where UAVs work as aerial users to collect various sensory data, and send the coll…

eess.SY2020★ 4 cited

UAV-to-Device Underlay Communications: Age of Information Minimization by Multi-agent Deep Reinforcement Learning

Fanyi Wu, Hongliang Zhang, Jianjun Wu +3

In recent years, unmanned aerial vehicles (UAVs) have found numerous sensing applications, which are expected to add billions of dollars to the world economy in the next decade. To…

eess.SP2020

Cellular UAV-to-Device Communications: Trajectory Design and Mode Selection by Multi-agent Deep Reinforcement Learning

F. Wu, H. Zhang, J. Wu +1

In the current unmanned aircraft systems (UASs) for sensing services, unmanned aerial vehicles (UAVs) transmit their sensory data to terrestrial mobile devices over the unlicensed…

eess.SP2020★ 8 cited

Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

Changyang She, Rui Dong, Zhouyou Gu +6

In the future 6th generation networks, ultra-reliable and low-latency communications (URLLC) will lay the foundation for emerging mission-critical applications that have stringent…

eess.SP2020★ 4 cited

Sensing and Communication Tradeoff Design for AoI Minimization in a Cellular Internet of UAVs

Shuhang Zhang, Hongliang Zhang, Lingyang Song +2

In this paper, we consider the cellular Internet of unmanned aerial vehicles (UAVs), where UAVs sense data for multiple tasks and transmit the data to the base station (BS). To qua…

cs.IT2020★ 5 cited

Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough?

Hongliang Zhang, Boya Di, Lingyang Song +1

Reconfigurable intelligent surface~(RIS) has drawn a great attention worldwide as it can create favorable propagation conditions by controlling the phase shifts of the reflected si…