activity
20182026
most citedImproved propagation models for lte path loss prediction in urban & suburban Ghana

4 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Entropy Gate: Entropy Quenching for Near-Lossless Token Compression in LLM Pipelines

Justice Owusu Agyemang, Jerry John Kponyo, Kwame Opuni-Boachie Obour Agyekum +3

LLM pipelines waste substantial token budgets on low-information content: repeated context, verbose responses, and redundant boilerplate. We introduce Entropy Gate, a token compres…

cs.CR2025★ 2 cited

Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics

Daniel Commey, Benjamin Appiah, Griffith S. Klogo +4

Quantum computing threatens the security foundations of consumer electronics (CE). Preparing the diverse CE ecosystem, particularly resource-constrained devices, for the post-quant…

cs.NI2025

A transformer-based deep q learning approach for dynamic load balancing in software-defined networks

Evans Tetteh Owusu, Kwame Agyemang-Prempeh Agyekum, Marinah Benneh +4

This study proposes a novel approach for dynamic load balancing in Software-Defined Networks (SDNs) using a Transformer-based Deep Q-Network (DQN). Traditional load balancing mecha…

eess.SP2020★ 4 cited

Improved propagation models for lte path loss prediction in urban & suburban Ghana

James D. Gadze, Kwame A. Agyekum, Stephen J. Nuagah +1

To maximize the benefits of LTE cellular networks, careful and proper planning is needed. This requires the use of accurate propagation models to quantify the path loss required fo…

cs.NI2018★ 3 cited

Performance Evaluation of a Deployed 4G LTE Network

E. T. Tchao, J. D. Gadze, J. O. Agyapong

In Ghana and many countries within Sub-Sahara Africa, Long Term Evolution (LTE) is being considered for use within the sectors of Governance, Energy distribution and transmission,…