Lukumba Phiri (Ph.D)
Electrical/Electronic/Computer Engineering, Machine Learning, Cyber-Physical Security, CONTROL STRUCTURES AND MICROPROGRAMMING, INPUT/OUTPUT AND DATA COMMUNICATIONS, PERFORMANCE AND RELIABILITY, COMPUTER-COMMUNICATION NETWORKS, SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS, PERFORMANCE OF SYSTEMS, COMPUTER SYSTEM IMPLEMENTATION, PROGRAMMING TECHNIQUES, PROGRAMMING LANGUAGES, OPERATING SYSTEMS, NUMERICAL ANALYSIS, DISCRETE MATHEMATICS, PROBABILITY AND STATISTICS, MATHEMATICAL SOFTWARE, MODELS AND PRINCIPLES, DATABASE MANAGEMENT, INFORMATION STORAGE AND RETRIEVAL, INFORMATION SYSTEMS APPLICATIONS, INFORMATION INTERFACES AND PRESENTATION, ARTIFICIAL INTELLIGENCE, SIMULATION AND MODELING, PHYSICAL SCIENCES AND ENGINEERING, COMPUTERS IN OTHER SYSTEMS, MATHEMATICAL LOGIC AND FORMAL Cyber-Physical Security Computer-Communication Networks Performance and Reliability Special-Purpose and Application-Based Systems Information Systems Applications Smart Grid and Power Systems Smart Grid Energy Management Smart Grid Security and Resilience Electric power system Advanced Signal Processing Techniques Information security management system Building energy efficiency and sustainability Wireless Communication Networks Research Cooperative Communication and Network Coding Orthogonal frequency-division multiple access Space-division multiple access Power-system protection Critical infrastructure protection Control system security Industrial control system Technology and Security Systems Electricity Theft Detection Techniques Supervisory control theory Sampled data systems Building and Construction Computer Networks and Communications Control and Systems Engineering Electrical and Electronic Engineering Information Systems Management of Technology and Innovation

Educational Journey

University of Zambia

Ph.D. Candidate in Electrical and Electronic Engineering • Electrical and Electronic Engineering

2023

Experience

Researcher/Senior Engineer/Lecturer

0 - 0 • Department of Electrical and Electronics Engineering

Editors Role

Reviewer

GJCST

2024 - Present

Research

Performance Study of Downlink Users in Non- Orthogonal Multiple Access (NOMA) for 5G Communications

Article January 23, 2026

An outline of NOMA principles is provided in this article. Furthermore, this page discusses cooperative NOMA and its variations, explains power allocation in detail as a technique of resource allocation for NOMA, and gives an overview of the research challenges related to NOMA. We then, use a two-case scenario, to suggest a dynamic power allocation (DPA) plan for the downlink NOMA users, albeit it can also be expanded to many use cases. The DPA relies on channel state information (CSI) to guarantee the quality of service (QOS) for cell center customers (user c). The Outage probability (OP) as a critical performance criterion simulation data is also provided, and they demonstrate a notable performance improvement when DPA is employed compared to fixed power allocation.