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Now showing 1 - 5 of 10

Recent Submissions

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Machine Learning Based Throughput Prediction for 4G/5G Mobile Networks Using Large Scale Dataset
(2026-08-25) Ali Jamoos
As cellular networks evolve from 4G LTE to 5G, throughput prediction becomes increasingly important for understanding user experience and supporting data-driven network optimization. However, real active-measurement datasets are often sparse, noisy, and technology-dependent, making throughput modeling a challenging regression problem. This paper presents a machine-learning-based framework for predicting downlink and uplink throughput in both 4G and 5G networks using large-scale active measurement dataset. The original dataset contains 367,104 samples and 81 parameters, including radio indicators, scheduling features, modulation statistics, transport block size information, and contextual variables. Due to the high sparsity of the throughput targets, the data were divided into four independent regression tasks: 4 G downlink, 4 G uplink, 5 G downlink, and 5 G uplink. After preprocessing, feature ranking, and outlier removal, several regression models were trained and evaluated using 10-fold cross-validation in MAT-LAB Regression Learner. The results show that tuned Bagged Trees achieved the best performance across all four datasets, reaching R2 values of 0.9017, 0.9605, 0.8436, and 0.8767 for 4G DL, 4G UL, 5G DL, and 5G UL, respectively. These results demonstrate that target-specific ensemble learning can effectively model the nonlinear relationship between radio/scheduling parameters and measured cellular throughput.
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AQU-WiFiLoc: Context-Aware Indoor Localization Based on WiFi Fingerprinting
(2026-08-25) Ali Jamoos
This paper presents AQU-WiFiLoc, a context-aware indoor localization framework that augments Received Signal Strength Indicator (RSSI) based conventional Wi-Fi fingerprinting with Cisco Access Point (AP) telemetry and magnetic field signatures. A multi-modal dataset containing 1,343 fingerprints was collected from 14 rooms distributed across two floors of the Faculty of Engineering at Al-Quds University, Palestine. Initial experiments showed that all evaluated classifiers achieved perfect classification performance under clean conditions, indicating that the collected radio map provides highly discriminative room-level fingerprints. To evaluate robustness under more realistic operating conditions, additive Gaussian noise was introduced exclusively into test-set RSSI values while auxiliary contextual features remained unchanged. Four machine learning classifiers and six feature configurations were evaluated under progressively increasing RSSI degradation. Results demonstrate that contextual information significantly improves localization robustness. The proposed Context-Aware configuration achieved a macro F1-score of 98.5% using K-Nearest Neighbors under severe noise conditions with standard deviation of 10 dBm, outperforming the RSSI-only baseline. In addition, AP telemetry provided the strongest individual performance gain, highlighting the value of network-side context for robust indoor positioning.
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Performance Evaluation of Palestinian Mobile Networks Based on Crowdsourcing Measurements
(IEEE, 2024-12-10) Ali Jamoos
The evaluation of mobile network performance involves assessing various key performance indicators (KPIs) that gauge the efficiency and effectiveness of these networks. The key performance indicators of the Palestinian mobile networks are usually monitored by the mobile network operators (MNOs) through their operation support subsystems and the carried-out drive tests. This include the received signal level, received signal quality, drop rate, handover success rate, packet loss, latency, throughput, etc. The Palestinian ministry of telecommunications and information technology (MTIT) together with the Palestinian Telecom Regulatory Authority (PTRA) also conduct performance measurements for the mobile networks through drive tests to monitor the quality of service (QoS) measurements delivered by each mobile operator and compare them with the standard KPIs benchmark limits. They aim to enhance user experience and network efficiency. However, these performance measurements either from the MNOs or the regulation agency are limited and do not reflect the exact end user experience. Therefore, in this paper, we address the performance evaluation of the Palestinian MNOs based on a large community of connected people smartphone crowdsourcing technique. Here, using smartphone crowdsourcing can collect continuous real-time data on network performance from a large number of smartphone users with various locations. Thus, the quality of experience (QoE) can be evaluated from the end user perspective with a bigger data set. In this paper, we have developed and implemented a smartphone application called “Signal Sense” for crowdsourced mobile network measurements. The performed measurements include location information, signal level, signal quality and throughput for 3G mobile networks in Palestine. The evaluation of these measurements reflects the relative performance of the Palestinian MNOs.
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The First Restoration of al-Aqsa Mosque under the Supervision of the Supreme Muslim Council (1922–1925): A Study of the Role of the Architect Ahmad Kamal al-Din
(Center for Jerusalem Studies - Al-Quds University, 2026-06-19) Khalil Jamous
The study examines how the collapse of the Ottoman Empire—the entity traditionally responsible for safeguarding Islamic holy sites—precipitated severe post-World War I political and economic challenges that directly hindered restoration efforts at Al-Aqsa Mosque. This historical reality raises critical questions regarding how these destabilizing conditions influenced the selection of architects, shaped project management, and complicated the procurement of the funding necessary to execute the restorations in accordance with required engineering standards. Within this analytical framework, the study posits that, although the Supreme Islamic Council entrusted the Jerusalemite engineer Rushdi Al-Imam Al-Husseini with supervising the restoration of Al-Aqsa Mosque architect, it was, however, suggested to the Council to summon the architect Ahmed Kamal El-Din from Turkey to carry out this task. The research study aims to uncover the underlying reasons behind this preference. The study posits that Ahmad Kamal al-Din visited Jerusalem during the late Ottoman era, between 1910 and 1912, to evaluate the structural integrity of the monuments for restoration purposes, a pre-war survey that demonstrates the Ottoman Empire had actively planned maintenance operations at Al-Aqsa Mosque prior to its eventual defeat. Ultimately, this early site visit provided Ahmad Kamal al-Din with precise, firsthand knowledge of the extent of the structural damage and fissures, which later enabled him to contribute effectively to the restoration project once the Supreme Muslim Council assumed institutional oversight.
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Silwan: A Long Palestinian History, Heritage, and Existence
(Center for Jerusalem Studies - Al-Quds University, 2026-06-19) Daoud Ghoul
Al-Quds (Jerusalem) is one of the most famous cities in the world — renowned for its history, religious sites, and tourism. It is also known for a long colonial struggle, during which the city acquired a unique position among its native people, visitors, and colonizers. It became targeted for Western and Israeli archaeological excavations as part of an effort to claim the history of the city and exterminate its Palestinian historical heritage. This colonial act is known in the literature as “the logic of elimination” (e.g., Wolfe 2006; Salamanca et al. 2012), or the elimination of memory ‘damnatio memoriae’ (Bodnaruk 2022). The settler colonial elimination in Silwan is carried out through various projects that use archaeology to erase the Palestinian history, memory, and existence, transforming the area into the ‘City of David’ (e.g., Hawari 2022). This reflects the Zionist notion that Palestine is ‘a land without a people for a people without a land’. In this paper, I examine the rich literature on Palestinian existence, heritage, and history in Silwan.