Density-aware cell zooming

Ultra-dense deployments and mobile cells significantly change cellular networking paradigm. Infrastructure and topology of cellular networks become dynamic as opposed to legacy systems where the infrastructure is assumed to be stationary. As topology morphs, base station or user density of networks also change impacting the performance in terms of resource utilization and quality of service. To increase network capacity, preserve coverage and conserve energy, network density should be considered in communication stacks to make the network density-aware and -adaptive. In this work, we analyze the impact of density on network outage in cellular networks. We propose a novel cell zooming technique at run-time considering network outage and density jointly with a three-dimensional base station density estimator.


Network density estimators and density-aware wireless networks
Eroğlu, Alperen; Onur, Ertan; Department of Computer Engineering (2020-11)
New network architectures and communication technologies continue to emerge to meet rapidly increasing and changing user demands requiring continuous connectivity and high data rate transmissions. These ubiquitous infrastructures result in a paradigm shift in mobile communications with the advent of mobile robots equipped with sensors, unmanned aerial vehicles, and mobile small-cells, which makes the future networks highly dynamic. This dynamism poses unpredictable variations in the network density causing ...
Density-aware mobile networks: Opportunities and challenges
Mollahasani, Shahram; Eroğlu, Alperen; Demirkol, Ilker; Onur, Ertan (2020-07-05)
We experience a major paradigm shift in mobile networks. The infrastructure of cellular networks is becoming mobile since it is being densified also by using mobile and nomadic small cells to increase coverage and capacity. Furthermore, the innovative approaches such as green operation through sleep scheduling, user-controlled small cells, and dynamic end-to-end slicing will make the network topology and available resources highly dynamic. Therefore, the density of dynamic networks may vary in time and spac...
Density-aware outage in clustered Ad Hoc networks
Eroğlu, Alperen; Onur, Ertan (2018-02-28)
Density of ad hoc networks may vary in time and space because of mobile stations, sleep scheduling or failure of nodes. Resources such as spectrum will be wasted if the network is not density-aware and -adaptive. Towards this aim, distributed and robust network density estimators are required. In this paper, we propose a novel cluster density estimator in random ad hoc networks by employing distance matrix. Monte-Carlo simulation results validate the proposed estimator. The accuracy of the estimator is impr...
Energy Efficient Scheduling in Flow-shop and Parallel Machine Robotic Cells
Aydoğan, Çiya; Gürel, Sinan; Department of Industrial Engineering (2021-9-10)
Robotic cell scheduling studies mostly focus on increasing the throughput of the cell. Therefore, those studies consider cycle time or makespan minimization objectives. However, energy-efficient and environmentally sensitive manufacturing operations become more important and receive attention in recent studies in the literature. In this thesis, we study two robotic cell scheduling problems with machines and a material handling robot. We consider robot energy consumption as an objective to minimize while max...
Mobility and Queue Based Guard Channel Scheme for Cellular Networks
Candan, Idil (2014-05-14)
This paper presents a dynamic and queue based bandwidth allocation scheme for cellular networks. According to mobility values, the bandwidth threshold is dynamically changed and a queuing policy is used for newly originating calls. If the number of busy bandwidth units is greater than or equal to bandwidth threshold, the arriving new calls are queued. The results indicate that, our scheme outperforms other proposed scheme in terms of handoff dropping, new call blocking probabilities and utilization, and als...
Citation Formats
O. YAMAN, A. Eroğlu, and E. Onur, “Density-aware cell zooming,” 2018, Accessed: 00, 2020. [Online]. Available: