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Enviaments recents
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Bluetooth mesh analysis, issues, and challenges
(Institute of Electrical and Electronics Engineers (IEEE), 2020-01-01)
Article
Accés obertBLE is a widely used short-range technology which has gained a relevant position inside the Internet-of-Things (IoT) paradigm development thanks to its simplicity, low-power consumption, low-cost and robustness. New ... -
Learning-based tracking area list management in 4G and 5G networks
(2020-08-01)
Article
Accés obertMobility management in 5G networks is a very challenging issue. It requires novel ideas and improved management so that signaling is kept minimized and far from congesting the network. Mobile networks have become massive ... -
Machine learning adaptive computational capacity prediction for dynamic resource management in C-RAN
(2020-05-23)
Article
Accés obertEfficient computational resource management in 5G Cloud Radio Access Network (C-RAN)environments is a challenging problem because it has to account simultaneously for throughput, latency,power efficiency, and optimization ... -
Delay and energy consumption analysis of frame slotted ALOHA variants for massive data collection in internet-of-things scenarios
(Multidisciplinary Digital Publishing Institute, 2020-01-01)
Article
Accés obertThis paper models and evaluates three FSA-based (Frame Slotted ALOHA) MAC (Medium Access Control) protocols, namely, FSA-ACK (FSA with ACKnowledgements), FSA-FBP (FSA with FeedBack Packets) and DFSA (Dynamic FSA). The ... -
Energy sharing and trading in multi-operator heterogeneous network deployments
(Institute of Electrical and Electronics Engineers (IEEE), 2019-05-01)
Article
Accés obertWith a view to the expected increased data traffic volume and energy consumption of the fifth generation networks, the use of renewable energy (RE) sources and infrastructure sharing have been embraced as energy and ... -
Machine learning techniques applied to multiband spectrum sensing in cognitive radios
(Multidisciplinary Digital Publishing Institute (MDPI), 2019-10-30)
Article
Accés obertIn this work, three specific machine learning techniques (neural networks, expectation maximization and k-means) are applied to a multiband spectrum sensing technique for cognitive radios. All of them have been used as a ... -
Low-cost test measurement setup for real IoT BLE sensor device characterization
(2019-03-01)
Article
Accés obertThe methodology presented in this paper aims to characterize impairments shown by real devices which are usually neglected on standardized tests but that become very important in massive IoT scenarios. For instance, we ... -
Anti-collision adaptations of BLE active scanning for dense IoT tracking applications
(Institute of Electrical and Electronics Engineers (IEEE), 2018-09-15)
Article
Accés obertBluetooth low energy (BLE) is one of most promising technologies to enable the Internet-of-Things (IoT) paradigm. The BLE neighbor discovery process (NDP) based on active scanning may be the core of multiple IoT applications ... -
Performance study of uplink and downlink splitting in ultradense highly loaded networks
(2018-07-15)
Article
Accés obertThis paper provides new insights into the performance of Uplink and Downlink Splitting (UDS) in highly loaded wireless communication systems, in terms of both serving nodes and the number of users with high traffic activity. ... -
Conflict resolution in mobile networks: a self-coordination framework based on non-dominated solutions and machine learning for data analytics [Application notes]
(2018-05-01)
Article
Accés obertSelf-organizing network (SON) is a well-known term used to describe an autonomous cellular network. SON functionalities aim at improving network operational tasks through the capability to configure, optimize and heal ... -
A low-cost tracking system for running race applications based on bluetooth low energy technology
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-03-20)
Article
Accés obertTiming points used in running races and other competition events are generally based on radio-frequency identification (RFID) technology. Athletes’ times are calculated via passive RFID tags and reader kits. Specifically, ... -
Connectivity analysis in clustered wireless sensor networks powered by solar energy
(Institute of Electrical and Electronics Engineers (IEEE), 2018-04)
Article
Accés obertEmerging 5G communication paradigms, such as machine-type communication, have triggered an explosion in ad-hoc applications that require connectivity among the nodes of wireless networks. Ensuring a reliable network operation ...
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