Postdoctoral fellowWireless communications

I NyomanAprazRamatryana.

Designing reliable access for 6G-scale networks—from jamming-resilient grant-free transmission and RSMA-ALOHA to cell-free massive MIMO and compressive sensing.

Official portrait of Dr. I Nyoman Apraz Ramatryana
Postdoctoral Fellow / IEEE Senior Member01
FocusMassive access and resilient wireless systems
Portrait source ↗
Massive Random AccessRSMA / NOMANextG RAN / Cell-Free MIMOResilient Grant-Free Access
01Profile

Postdoctoral fellow / lecturer / IEEE Senior Member

Making crowded networks work better.

Dr. Ramatryana is a Postdoctoral Fellow at Khalifa University in Abu Dhabi and a Lecturer in Electrical Engineering at Universitas Nahdlatul Ulama Yogyakarta.

His work asks how future radio networks can support massive, heterogeneous traffic without giving up throughput, reliability, energy efficiency, or fair access.

His research spans wireless communications, signal processing, artificial intelligence, NextG random and multiple access, and NextG radio access networks. He received his Ph.D. in Wireless Communications from Kumoh National Institute of Technology in 2023 and became an IEEE Senior Member in 2025.

Current

Postdoctoral Fellow

Khalifa University · Abu Dhabi, UAE

Wireless and emerging network systems, including resilient grant-free transmissions.

Current

Lecturer, Electrical Engineering

Universitas Nahdlatul Ulama Yogyakarta · Indonesia

Teaching and research across wireless communications, signal processing, and intelligent systems.

2025–2026

Postdoctoral Researcher

Dublin City University · Ireland

NOMA-enabled radio-over-fiber fronthaul and resource allocation for cell-free massive MIMO.

2023–2024

Postdoctoral Researcher

FAU Erlangen–Nürnberg · Germany

Digital communications research, teaching support, and student supervision at the Institute for Digital Communications.

01Model
02Simulate
03Validate
02Research atlas

Where the work connects

Signals, access, intelligence.

From waveform and access-protocol design to fronthaul and network-wide resource allocation, the work connects physical-layer ideas with deployable system goals.

Editorial illustration of distributed cell-free antennas connecting a dense field of IoT devices through layered data streams and fiber links
Visual study 01Massive access, layered streams, distributed intelligence.

Original editorial illustration / AI-generated

01

Massive Random Access for Future IoT

Cross-layer random-access design for dense machine-type networks, including adaptive traffic load, prioritized access, and throughput analysis.

  • Massive IoT
  • Random access
  • Traffic-load adaptation
02

RSMA, NOMA & 6G Multiple Access

Rate-splitting and non-orthogonal multiple-access methods for overloaded uplinks, spanning slotted ALOHA, coded access, and vortex-wave communications.

  • RSMA
  • NOMA
  • Slotted ALOHA
03

NextG RAN, Cell-Free MIMO & RoF

Next-generation radio access and radio-over-fiber fronthaul for distributed cell-free massive MIMO, including low-complexity radio and optical resource allocation.

  • NextG RAN
  • CF mMIMO
  • Radio-over-fiber
04

Wireless Signal & Image Processing

Sparse reconstruction and compressive sensing for communications and medical imaging, alongside modulation and signal-space designs for efficient transmission.

  • Compressive sensing
  • Medical imaging
  • Signal processing
05Current research

Secure & Resilient Grant-Free Access

Jamming-resilient grant-free transmission and secure IoT connectivity for networks that must remain dependable under contention and interference.

  • Grant-free access
  • Anti-jamming
  • Secure IoT
Sparse signal samples passing through a reconstruction lattice to form layered retinal data
Visual study 02From sparse measurements to meaningful images.

Original editorial illustration / AI-generated

03Portraits

One real portrait / two visual interpretations

A research practice, pictured.

The official photograph establishes identity. The two illustrated scenes imagine the process of working with signals and ideas; they are editorial artwork, not documentary photography.

04Selected work

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