Abstract: Identity-based attacks (IBAs) are a major wireless network threat. RSS is becoming more popular for wireless network IBA detection. Current mobile schemes generate too many false alarms. This project proposes a stronger Reciprocal Channel…
Abstract: Mobile traffic forecasting with high accuracy is essential for proactive network service provisioning and efficient network resource allocation in smart cities due to the rapid development of mobile cellular technologies and the rising popularity…
Abstract: Edge computing dominates networking research. Processing demand has skyrocketed as data analytics-based mobile apps proliferate. Edge networks (EN), a wireless ad-hoc network of mobile cloudlets, vehicular cloudlets, dedicated edge devices, and cloud platforms, can…
Abstract: Inter-node distance measurements are crucial for network topology inference. Sparse distance measurements can lead to ambiguous realizations that differ greatly from the ground truth. Separators, 2D and 3D binary and triple vertex cut sets,…
Abstract: Many communication networks, including MIMO ones, use base station transmit antenna selection (TAS). TAS in small user equipment (UEs) with switchable directional antennas is becoming popular due to the small size of millimeter-wave (mmWave)…
Abstract: Many realistic mobile social networks have evolving bipartite graphs, in which dynamically added elements are divided into two entities and connected by links between them, such as users and items in recommendation networks, authors…
Abstract: Geo-indistinguishability allows users to submit obfuscated locations to Location-Based Service providers and still use services. Inference attacks can compromise these mechanisms. Long-term observation attacks can reveal a user’s real locations if an attacker knows…
Abstract: Fog computing, which integrates mobile-edge and cloud resources, has emerged due to the widespread adoption of Internet-of-Things (IoT) applications. Due to resource constraints, IoT mobility, heterogeneity, network hierarchy, and stochastic behaviors, scheduling application tasks…
Abstract: 3GPP is working hard to achieve 5G sub-millisecond latencies. If exogenous transport layer delays are ignored, such efforts may fail. To avoid wasting wireless resources, Radio Access Networks (RANs) are deployed with large buffers….
Abstract: This project optimizes cellular network underlay multicast device-to-device (D2MD) energy efficiency. We maximize global network and user energy efficiency considering fairness factors like maximum power and minimum rate constraints. We use a canonical mixed-integer…
Abstract: In underwater acoustic networks (UWANs), long propagation delay degrades throughput, making medium access control (MAC) protocol design critical. This paper develops a deep reinforcement learning (DRL)-based MAC protocol for UWANs, delayed-reward deep-reinforcement learning multiple…
Abstract: Wireless network performance depends on user association. We study the user association problem in densely deployed full-duplex cellular networks with highly variable transmit powers and topologies (e.g., heterogeneous networks). Decoupled UL-DL (DUDe) association allows…
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