Search Results for author: Zhiguo Ding

Found 22 papers, 1 papers with code

Joint Robust Beamforming Design for WPT-assisted D2D Communications in MISO-NOMA: Fractional Programming and Deep Reinforcement Learning

no code implementations25 Sep 2022 Shiyu Jiao, Fang Fang, Zhiguo Ding

The proposed PFP algorithm and the DDPG-based algorithm are compared in the presence of different channel estimation errors.

Secrecy Sum Rate Maximization for a MIMO-NOMA Uplink Transmission in 6G networks

no code implementations Physical Communication 2022 Yunus Dursun, Kaidi Wang, Zhiguo Ding

Non-orthogonal multiple access (NOMA), as a well-qualified candidate for sixth-generation (6G) mobile networks, has been attracting remarkable research interests due to high spectral efficiency and massive connectivity.

Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications

no code implementations28 Apr 2022 Xiaoxia Xu, Yuanwei Liu, Qimei Chen, Xidong Mu, Zhiguo Ding

A multi-cell cluster-free NOMA framework is proposed, where both intra-cell and inter-cell interference are jointly mitigated via flexible cluster-free successive interference cancellation (SIC) and coordinated beamforming design.


An Interdisciplinary Approach to Optimal Communication and Flight Operation of High-Altitude Long-Endurance Platforms

no code implementations1 Mar 2022 Sidrah Javed, Mohamed-Slim Alouini, Zhiguo Ding

We design optimal power allocation for downlink (DL) NOMA users along with the ideal position and speed of flight with the aim to maximize sum data rate during the day and minimize power expenditure during the night, while ensuring quality of service.

Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning

no code implementations30 Nov 2021 Yi Guo, Fang Fang, Donghong Cai, Zhiguo Ding

Simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) has been considered as a promising auxiliary device to enhance the performance of the wireless network, where users located at the different sides of the surfaces can be simultaneously served by the transmitting and reflecting signals.

Reinforcement Learning (RL)

Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications

no code implementations17 Sep 2021 Zhaoyuan Shi, Xianzhong Xie, Huabing Lu, Helin Yang, Jun Cai, Zhiguo Ding

Due to the non-convexity of this optimization problem and the stochastic nature of the wireless environment, we propose a distributed multidimensional resource management algorithm based on deep reinforcement learning (DRL).

Management reinforcement-learning +1

A Reinforcement Learning Approach for an IRS-assisted NOMA Network

no code implementations17 Jun 2021 Ximing Xie, Shiyu Jiao, Zhiguo Ding

This letter investigates a sum rate maximizationproblem in an intelligent reflective surface (IRS) assisted non-orthogonal multiple access (NOMA) downlink network.

reinforcement-learning Reinforcement Learning (RL)

Deep Reinforcement Learning Based Optimization for IRS Based UAV-NOMA Downlink Networks

no code implementations17 Jun 2021 Shiyu Jiao, Ximing Xie, Zhiguo Ding, Fellow, IEEE

This paper investigates the application of deep deterministic policy gradient (DDPG) to intelligent reflecting surface (IRS) based unmanned aerial vehicles (UAV) assisted non-orthogonal multiple access (NOMA) downlink networks.

reinforcement-learning Reinforcement Learning (RL)

IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity

no code implementations27 May 2021 Arthur S. de Sena, Pedro H. J. Nardelli, Daniel B. da Costa, F. Rafael M. Lima, Liang Yang, Petar Popovski, Zhiguo Ding, Constantinos B. Papadias

In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC).

On the Application of BAC-NOMA to 6G umMTC

no code implementations12 Feb 2021 Zhiguo Ding, H. Vincent Poor

This letter studies the application of backscatter communications (BackCom) assisted non-orthogonal multiple access (BAC-NOMA) to the envisioned sixth-generation (6G) ultra-massive machine type communications (umMTC).

Information Theory Information Theory

Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems

no code implementations2 Feb 2021 Weiheng Jiang, Yu Zhang, Jun Zhao, Zehui Xiong, Zhiguo Ding

Cognitive radio (CR) is an effective solution to improve the spectral efficiency (SE) of wireless communications by allowing the secondary users (SUs) to share spectrum with primary users (PUs).

Information Theory Signal Processing Information Theory

IRS-Assisted Massive MIMO-NOMA Networks: Exploiting Wave Polarization

no code implementations7 Dec 2020 Arthur S. de Sena, Pedro H. J. Nardelli, Daniel B. da Costa, F. Rafael M. Lima, Liang Yang, Petar Popovski, Zhiguo Ding, Constantinos B. Papadias

By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain.

What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?

no code implementations20 Sep 2020 Arthur S. de Sena, Dick Carrillo, Fang Fang, Pedro H. J. Nardelli, Daniel B. da Costa, Ugo S. Dias, Zhiguo Ding, Constantinos B. Papadias, Walid Saad

Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks.


Joint Optimization of Beamforming, Phase-Shifting and Power Allocation in a Multi-cluster IRS-NOMA Network

no code implementations14 Sep 2020 Ximing Xie, Fang Fang, Zhiguo Ding

To address this non-convex problem, we propose an alternating optimization based algorithm.

Energy-Efficient Resource Allocation for NOMA enabled MEC Networks with Imperfect CSI

no code implementations14 Sep 2020 Fang Fang, Kaidi Wang, Zhiguo Ding, Victor C. M. Leung

In this paper, we mainly focus on energy-efficient resource allocation for a multi-user, multi-BS NOMA assisted MEC network with imperfect channel state information (CSI), in which each user can upload its tasks to multiple base stations (BSs) for remote executions.

Association Edge-computing

Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks

no code implementations11 Sep 2020 Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis

We adopt the partial offloading policy, in which each user can partition its computation task into offloading and locally computing parts.


Energy-Efficient Design of IRS-NOMA Networks

no code implementations11 Sep 2020 Fang Fang, Yanqing Xu, Quoc-Viet Pham, Zhiguo Ding

Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency.

Spectral-Energy Efficiency Trade-off-based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems

no code implementations19 Jun 2020 Haitham Al-Obiedollah, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam, Jie Tang, Alister G. Burr, Zhiguo Ding, Octavia A. Dobre

In particular, we formulate a joint SE-EE based design as a multi-objective optimization (MOO) problem to achieve a good tradeoff between the two performance metrics.

I/Q Imbalance Aware Nonlinear Wireless-Powered Relaying of B5G Networks: Security and Reliability Analysis

no code implementations6 Jun 2020 Xingwang Li, Mengyan Huang, Yuanwei Liu, Varun G Menon, Anand Paul, Zhiguo Ding

Physical layer security is known as a promising paradigm to ensure security for the beyond 5G (B5G) networks in the presence of eavesdroppers.

NOMA for Energy-Efficient LiFi-Enabled Bidirectional IoT Communication

no code implementations20 May 2020 Chen Chen, Shu Fu, Xin Jian, Min Liu, Xiong Deng, Zhiguo Ding

In order to improve the energy efficiency (EE) of the bidirectional LiFi-IoT system, non-orthogonal multiple access (NOMA) with a quality-of-service (QoS)-guaranteed optimal power allocation (OPA) strategy is applied to maximize the EE of the system.

Precoder Design and Statistical Power Allocation for MIMO-NOMA via User-Assisted Simultaneous Diagonalization

1 code implementation5 May 2020 Aravindh Krishnamoorthy, Zhiguo Ding, Robert Schober

In this paper, we investigate the downlink precoder design for two-user power-domain multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA).

Information Theory Information Theory

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