Daniel K C So

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Professor of Communication Engineering

The University of Manchester

United Kingdom

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Daniel K C So is a Professor of Communication Engineering at the University of Manchester, United Kingdom. His research areas encompass advanced communication techniques, particularly in federated learning, massive MIMO systems, and innovative resource allocation strategies for next-generation wireless networks. Recent publications include work on many-to-many matching approaches in cell-free systems and optimization techniques for non-orthogonal multiple access (NOMA) communications.

Recent Grants

Grant: Close

Green Heterogeneous Networks

Open Date: 2013-02-01

Close Date: 2016-01-31

Grant: Close

MIMO LAYERED SPACE-TIME SYSTEM WITH VIRTUAL RECEIVE ANTENNAS

Open Date: 2006-05-01

Close Date: 2008-11-01

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2020

Collaborators (4)

Mohammad Al-Jarrah

The University of Manchester

UNITED KINGDOM

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Zhiguo Ding

The University of Manchester

UNITED KINGDOM

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Jonathon A. Chambers

University of Leicester

UNITED KINGDOM

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Chan-Byoung Chae

Yonsei University

SOUTH KOREA

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Daniel K C So

Research Interests

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About

Recent Grants

Articles (20)

A Socially Aware Many-to-Many Matching Approach for Access Point Selection in Cell-free Massive MIMO

Sum Rate Maximization for NOMA with Simultaneous Cache-Enabled D2D Communications

Joint Sparsity and Low-Rank Minimization for Reconfigurable Intelligent Surface-Assisted Channel Estimation

Throughput Maximization for RIS-Assisted UAV-Enabled WPCN

Age-of-Information Minimization in Federated Learning Based Networks With Non-IID Dataset

Age-of-Information Minimization in Federated Learning based Networks with Non-IID Dataset

Federated Learning Driven Sparse Code Multiple Access in V2X Communications

Power Allocation for NOMA With Cache-Aided D2D Communication

Simultaneous Wireless Information and Power Transfer in IoT-Based Scenarios: Architectures, Challenges, and Prototype Validation

Simultaneous Wireless Information and Power Transfer in IoT-based Scenarios: Architectures, Challenges, and Prototype Validation

Capacity Analysis of IRS-Based UAV Communications With Imperfect Phase Compensation

Drone Mobile Networks: Performance Analysis under 3D Tractable Mobility Models

EE Optimization for Downlink NOMA-Based Multi-Tier CRANs

Hybrid Evolutionary-based Sparse Channel Estimation for IRS-assisted mmWave MIMO Systems

Joint 3D Trajectory and Power Optimization for UAV-Aided mmWave MIMO-NOMA Networks

Multi-Objective Optimization for UAV-Assisted Wireless Powered IoT Networks Based on Extended DDPG Algorithm

Stackelberg Game of Energy Consumption and Latency in MEC Systems with NOMA

Decoupling or Learning: Joint Power Splitting and Allocation in MC-NOMA with SWIPT

Joint 3D Trajectory Design and Time Allocation for UAV-Enabled Wireless Power Transfer Networks

Joint Power Allocation and Splitting Control for SWIPT-Enabled NOMA Systems

Collaborators (4)

Mohammad Al-Jarrah

Zhiguo Ding

Jonathon A. Chambers

Chan-Byoung Chae

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