Research across Abu Dhabi and Yogyakarta
Postdoctoral fellowWireless communications
Two institutions in one academic journey
Current appointments connect advanced wireless research in Abu Dhabi with teaching and research in Yogyakarta. The theme presents both academic contexts as parts of one professional journey. It does not claim a formal university partnership.
Research moves between advanced network questions and practical application contexts. Teaching keeps the ideas connected to learners. Wireless systems form the common technical language.
Editorial affiliation study
Grant-free access, anti-jamming methods, and distributed radio systems address dense wireless environments. The work studies reliability under contention and interference. It connects communication theory with future network requirements.
Khalifa University provides the current postdoctoral research context. The portfolio remains the researcher’s independent professional record. No institutional partnership is claimed.
Wireless communications and signal processing connect mathematical ideas with student learning. Priority-aware access provides practical examples for heterogeneous traffic. Intelligent systems extend the discussion toward emerging applications.
Universitas Nahdlatul Ulama Yogyakarta provides the current teaching context. Research topics support that academic role. The theme represents one researcher across two appointments.
Cell-free MIMO, radio-over-fiber, and compressive sensing connect network efficiency with practical sensing. Low-overhead multiple access supports dense device populations. These methods motivate applications across health, mobility, industry, energy, and agriculture.
The academic bridge links advanced technical questions with societal application contexts. Each scenario remains prospective and research-aligned. It does not represent measured deployment impact.
Application horizons in Indonesia
Six research-aligned contexts connected to practical needs.
Kei Islands · MalukuConnected monitoring and efficient medical-image reconstruction
Illustrative application setting
Jakarta · JavaDense vehicle, roadside, and aerial communication
Illustrative application setting
Batam · Riau IslandsReliable machine sensing and distributed automation
Illustrative application setting
Sumba · East Nusa TenggaraNetworked awareness for distributed infrastructure
Illustrative application setting
Jatiluwih · BaliWide-area sensing and sparse-data reconstruction
Illustrative application setting
Riau · SumatraForest and land fires (karhutla) motivate environmental sensing research. Priority-aware alerts could support response coordination. The setting remains prospective.
Illustrative application setting
Abu DhabiPriority-aware access for wearable monitoring and emergency telemetry
Illustrative application setting
DubaiDense uplink access for vehicles, transit, and roadside sensing
Illustrative application setting
Khalifa Port · Abu DhabiReliable sensor access for logistics, machinery, and distributed automation
Illustrative application setting
Al Dhafra · Abu DhabiLow-overhead monitoring for solar generation and distributed infrastructure
Illustrative application setting
Al Ain · Abu DhabiSparse sensing for irrigation, soil conditions, and crop monitoring
Illustrative application setting
Fujairah · Hajar MountainsFlash-flood monitoring motivates rainfall and water-level sensing research. Priority-aware alerts could support emergency coordination. The setting remains prospective.
Illustrative application settingThe locations shown are editorial application settings for research-aligned pathways. They do not claim joint deployment, institutional partnership, local adoption, or measured societal impact. Each setting remains a prospective illustration.
Postdoctoral fellow / lecturer / IEEE Senior Member
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.
Academic journey and affiliations
Five institutions across the UAE, Indonesia, Ireland, Germany, and South Korea.
Institution marks identify the affiliations and doctoral training listed in this profile.
Wireless and emerging network systems, including resilient grant-free transmissions.
Teaching and research across wireless communications, signal processing, and intelligent systems.
NOMA-enabled radio-over-fiber fronthaul and resource allocation for cell-free massive MIMO.
Digital communications research, teaching support, and student supervision at the Institute for Digital Communications.
Where the work connects
From waveform and access-protocol design to fronthaul and network-wide resource allocation, the work connects physical-layer ideas with deployable system goals.
Urban services create dense, uneven, and time-sensitive access demands. UMa-MC studies coordinated urban macrocell access for those conditions. The concept connects communication theory with realistic UAE and Indonesia application settings.
Research focus / 2026 to 2030
UMa-MC is a researcher-initiated concept, not an International Telecommunication Union designation. It focuses on event-burst massive access, differentiated priorities, information freshness, and macrocell coordination. The primary IMT-2030 lens is Massive Communication, with resilience and sustainability treated as cross-cutting design goals.
Conceptual receiver sequence for research communication. It does not represent deployment footage or measured field validation.
Project roadmap
The roadmap moves from formal definition to contextual evaluation. Each stage keeps analytical, simulation, prototype, and deployment evidence separate. Progression depends on the evidence produced at the preceding stage.
Specify traffic classes, reliability and freshness objectives, urban scenarios, and reproducible access baselines.
Develop priority-aware access, macrocell coordination, overload control, analytical bounds, and simulation comparisons.
Study UAE and Indonesia urban digital-twin scenarios across mobility, outages, energy limits, resilience, and event bursts.
Build a testbed or hardware-in-loop path when resources allow, then compare selected results with relevant ITU evaluation criteria.
Assemble an integrated demonstrator, publish scenario-specific design guidance, and share methods or data where permitted.
ITU candidate radio-interface submissions begin in February 2027 and close in February 2029. Independent evaluation follows that submission window. These milestones frame the project schedule without implying standardization or adoption.
This roadmap states planned research activities. It does not claim ITU adoption, operational deployment, interoperability, or measured societal impact. The panorama presents illustrative application settings rather than verified field deployments.
Urgent updates. Routine sensing. Shared radio resources.
QPRA-QNOMA-ALOHA / IEEE Internet of Things Journal / 2026
Quadrature priority random access (QPRA) combines quadrature non-orthogonal multiple access (QNOMA) with slotted ALOHA. The published framework includes finite-user collision analysis and adaptive power-group allocation. Enhanced user barring links admission decisions to transmit power and spatial fairness.
Each admitted device selects one in-phase (I) or quadrature (Q) branch within the same physical slot. Phase precompensation supports branch separation. Priority classes select different power groups, while either class can use either branch. Successive interference cancellation (SIC) proceeds from high to low power separately within each branch.
Source basis: Accepted author manuscript.
Quadrature NOMA-Based Priority Random Access in Heterogeneous Massive IoT
Urgent and routine traffic enter the access process.
Each device chooses one branch. Priority determines power groups, not the reception branch.
One base station · Two signal branchesThe published evidence
vs 1.789 packets per slot
At four devices per slot, QPRA exceeded the single-branch, eight-level baseline in the collision-event simulation. Both provided eight branch-power contention choices. Aggregate throughput does not establish higher efficiency per dimension.
vs 1.789 bit/use/dimension
Normalizing the same operating point by branch dimensions reverses the comparison. The proposed scheme uses two branches, while the baseline uses one. The published gain is not a universal spectral-efficiency gain.
vs 44.52 frames
With 2,400 devices activated over 60 frames, adaptive QPRA with enhanced user barring reduced mean delay against single-branch priority access with the same barring. The experiment included burst arrivals, backlog, and retransmissions. Results describe simulated access delays, not measured service response.
frames with 16 orthogonal preambles per slot
The resource-matched preamble-based priority scheme achieved a lower high-priority mean delay in the same experiment. Adaptive QPRA with conventional barring achieved 14.70 frames. Access resources and admission policy both matter.
The reported model uses synchronized single-cell access, phase precompensation, uncoded packet-threshold simulations, and feasible channel inversion. Channel coding, hardware validation, multicell operation, and peak-power constraints remain future work. Secrecy performance is not validated by the paper.
From the paper to 2030
The researcher-initiated urban macrocell massive communication (UMa-MC) concept provides a longer research context. Each year below connects the published access model with a proposed extension. Planned activities are not results already demonstrated by the paper.
Use the published two-class model, finite-user analysis, and normalized comparisons as starting points. Define urban traffic and service objectives separately. The paper does not validate an urban macrocell implementation.
Explore 2026 roadmapInvestigate adaptive power groups, class-specific barring, and feasible controller updates within coordinated urban access. The paper supports the access-control building blocks. Macrocell coordination remains a proposed extension.
Explore 2027 roadmapBuild on the reported burst-load, phase-leakage, cancellation, and channel-error studies. Extend evaluation toward mobility, outages, peak-power limits, and multi-cell interference. Regional scenarios require new traffic and propagation models.
Explore 2028 roadmapInvestigate a testbed with synchronization, channel estimation, coded packets, and calibrated power measurements. Compare observed delay and reliability with the analytical baseline. Hardware work depends on resources and successful earlier evaluation.
Explore 2029 roadmapCombine validated access components into a research demonstrator. Report scenario-specific operating limits, service trade-offs, and reproducible evidence. Integration does not imply standards adoption or guaranteed critical-service performance.
Explore 2030 roadmapTwo regional contexts / Six application types
Urgent updates and routine sensing can compete for the same radio resources. The regional scenes connect that access question with possible services. They illustrate research directions, not deployed systems or measured local impact.
Study differentiated access when health-event reports compete with routine monitoring packets. The research question concerns communication access. Clinical safety and diagnostic performance need separate validation.
Explore priority access for incident messages during dense transport activity. Delay and delivery probability would need scenario-specific evaluation. The paper does not establish collision-avoidance or autonomous-driving guarantees.
Investigate access differentiation when equipment alarms arrive with routine industrial reports. Compare burst handling and retransmission delay under matched resources. Industrial safety certification remains outside the published study.
Study fault-report access alongside periodic energy-system measurements. Assess admission, delay, and power trade-offs for the chosen deployment model. The paper does not validate grid protection or measured energy savings.
Explore priority for threshold events during routine field sensing. Evaluate access under sparse coverage and device power constraints. Water savings and crop-yield improvements are not established by the paper.
Investigate smoke and heat alerts in Riau, and rainfall and water-level alerts in Fujairah. Study access contention when many sensors report together. Hazard prediction and guaranteed emergency delivery require separate evidence.
The paper reports analysis and simulation. Roadmap links and regional scenarios are prospective extensions, not field deployments, guaranteed emergency performance, or standards adoption. No institutional partnership is implied.
Frequency index × time index + constellation symbol
FT-IMMA × IMT-2030
FT-IMMA uses frequency indices, time indices, and conventional constellation symbols to carry information in a grant-free uplink. Viewed through the ITU's IMT-2030 Massive Communication scenario, the method explores richer sharing of frequency-time resources across dense device populations.
Based on research by Muhammad Sajid Sarwar, I Nyoman Apraz Ramatryana, Gelar Budiman, and Soo Young Shin, published in IEEE Transactions on Vehicular Technology, vol. 74, no. 5, pp. 7866–7880.
How the message expands
The selected frequency position carries information.
The selected transmission interval adds another information dimension.
The conventional modulation symbol carries the remaining payload.
These scenes illustrate possible research directions. FT-IMMA is a research proposal, not an adopted IMT-2030 standard or a field-validated 6G deployment.
Air, energy, and street systems producing short uplink updates.
Robots, safety sensors, and maintenance systems sharing dense status data.
Vehicles, chargers, and roadside units creating irregular uplink bursts.
Distributed soil, water, and crop sensors reporting across wide areas.
Animated editorial application map
Cross-layer random-access design for dense machine-type networks, including adaptive traffic load, prioritized access, and throughput analysis.
Rate-splitting and non-orthogonal multiple-access methods for overloaded uplinks, spanning slotted ALOHA, coded access, and vortex-wave communications.
Next-generation radio access and radio-over-fiber fronthaul for distributed cell-free massive MIMO, including low-complexity radio and optical resource allocation.
Sparse reconstruction and compressive sensing for communications and medical imaging, alongside modulation and signal-space designs for efficient transmission.
Jamming-resilient grant-free transmission and secure IoT connectivity for networks that must remain dependable under contention and interference.
Animated reconstruction study
LinkedIn profile / public professional snapshot
LinkedIn foregrounds a wireless-communications career connecting Asia, Europe, and the Middle East—from doctoral training in Korea and academic work in Indonesia to postdoctoral research in Germany and Ireland, followed by current research at Khalifa University in Abu Dhabi.
Abu Dhabi, United Arab Emirates
Senior Member, IEEE / wireless communications researcher
500+ connections on the public LinkedIn profile
RSMA/NOMA-ALOHA, resilient networks, telecom AI, and wireless timing
Current LinkedIn profile photo / Khalifa University / Abu Dhabi.
RSMA, NOMA-ALOHA, massive IoT, and dependable grant-free connectivity.
Korea / Indonesia / Germany / Ireland / United Arab Emirates.
A short reading list
IEEE Internet of Things Journal
IEEE Wireless Communications Letters
IEEE Wireless Communications Letters
IEEE Transactions on Wireless Communications
IEEE Communications Letters
IEEE Transactions on Vehicular Technology
IEEE Wireless Communications Letters
IEEE Networking Letters
IEEE Transactions on Vehicular Technology
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Explore the verified professional timeline, DOI-linked publications, and wider research record across these academic and professional profiles.
