Michele Segata, M. Lestas, P. Casari, Taqwa Saeed, Dimitrios Tyrovolas, G. Karagiannidis, C. Liaskos
{"title":"Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces","authors":"Michele Segata, M. Lestas, P. Casari, Taqwa Saeed, Dimitrios Tyrovolas, G. Karagiannidis, C. Liaskos","doi":"10.23919/WONS57325.2023.10062109","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10062109","url":null,"abstract":"Future cooperative autonomous vehicles will be able to organize into flexible platoons to improve both the efficiency and the safety of driving. However, platooning requires dependable coordination through the periodic wireless exchange of control messages. Therefore, challenging propagation scenarios as found, e.g., in dense urban areas, may hinder coordination and lead to undesirable vehicle behavior. While reconfigurable intelligent surfaces (RISs) have been advocated as a solution to improper coverage issues, no system-level simulation exists that accounts for realistic road mobility and communication aspects. To this end, we present one such simulator built on top of the OMNeT++-based PLEXE and Veins frameworks. Specifically, our contribution is a simulator that takes into account vehicle mobility, physical layer propagation, RIS coding, and networking protocols. To test our simulator, we implement an RIS-assisted autonomous platoon merging maneuver taking place at an intersection where the absence of any RIS would limit successful communications to an area dangerously close to the intersection itself. Our results validate the simulator as a feasible tool for system-level RIS-assisted cooperative autonomous vehicle maneuvering, and ultimately show the benefit of RIS as roadside infrastructure for wireless coverage extension.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114988318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pitfalls in Measuring Ultra Low Power Energy Harvesting Wireless Sensor Networks","authors":"Sven Pullwitt, Lars C. Wolf","doi":"10.23919/WONS57325.2023.10062282","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10062282","url":null,"abstract":"Applications and evaluations in the area of ultra-low power energy harvesting Wireless Sensor Networks (WSNs) verge toward utilizing state-of-the-art hardware with extremely low power consumption. For the evaluation of these networks, real-world deployments are a common approach where special performance logging hardware is often used in conjunction with the sensor nodes. This hardware needs to be kept simple and cost-effective to allow for scalability. At the same time, it needs to be ensured that the measurement hardware does not interfere with the performance of the sensor node, thereby distorting the evaluation results. Herein lies an especially prominent challenge with ultra-low power sensor nodes. We outline some pitfalls that should be considered when designing or selecting this hardware.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vehicles or Pedestrians: On the gNB Placement in Ultradense Urban Areas","authors":"Gabriele Gemmi, Michele Segata, L. Maccari","doi":"10.23919/WONS57325.2023.10062000","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10062000","url":null,"abstract":"This paper tackles the problem of base stations placement to guarantee line of sight connectivity to vehicles in urban areas, when high frequency communications (mmWave or TeraHertz) are used. Our novel methodology takes advantage of vehicular traffic simulation to generate a realistic demand model for vehicles in urban areas. Then, through a bounded error heuristic, find the maximal coverage that can be achieved with a given density of base stations. The heuristic is implemented on GPU and used to evaluate the coverage in a densely urbanized area in the city of Luxembourg. Our results indicate that a reasonably low density (20 base stations per km2) is sufficient to provide coverage for vehicles in urban environments. However, optimizing solely on vehicles negatively affects the coverage of pedestrians.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121613870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensitivity Analysis of Ambient Backscattering Communications in Heavily Loaded Cellular Networks","authors":"Ritayan Biswas, Jukka Lempiäinen","doi":"10.23919/WONS57325.2023.10062021","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10062021","url":null,"abstract":"The purpose of this article is to evaluate the impact of adjacent cell interference on monostatic ambient backscattering communication (AmBC) systems at LTE and 5G frequencies. In dense urban areas, cellular macro cell and small cell networks are utilised to provide coverage to backscatter devices (BDs) and traditional users. However, due to the close proximity of adjacent cell mobile base stations, a significant amount of interference is noticed in the serving cell during peak hours. Thus, the signal-to-interference ratio (SIR) is much more of a limiting factor than the signal-to-noise ratio (SNR) of the system. Therefore, the SIR needs to be considered in the system design of AmBC systems. AmBC systems utilise ambient signals as the only source of power, so, there is a necessity for good SIR for proper communication with the BD. Therefore, based on the simulations, the area in close proximity to the base station can be utilised for the deployment of the BDs. Furthermore, it is observed that the achievable range of communication reduces by 44 percent in a heavily loaded cell in comparison with an empty cell when the SIR increases by 10 dB.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115697310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Larrañaga, M. C. Lucas-Estañ, Imanol Martinez, J. Gozálvez
{"title":"5G Configured Grant Scheduling for 5G-TSN Integration for the Support of Industry 4.0","authors":"A. Larrañaga, M. C. Lucas-Estañ, Imanol Martinez, J. Gozálvez","doi":"10.23919/WONS57325.2023.10062219","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10062219","url":null,"abstract":"Factories are evolving towards digitalized data-based ecosystems under the paradigm of the Industry 4.0 where new industrial services allow the implementation of more robust, resilient and customized manufacturing systems. Such services (e.g., digital twins, extended reality or cooperative robots) will require highly reliable and deterministic communication networks capable of supporting stringent latency and reliability requirements. 5G networks and their future evolution have the necessary capabilities to meet these requirements. However, the use of 5G in industrial environments requires its effective and efficient integration with Time Sensitive Networking (TSN), which is becoming the standard wired technology for Industry 4.0 environments. TSN provides unprecedented deterministic service levels with perfectly bounded latencies. The integration of the industrial 5G and TSN networks will be key to support the flexibility and determinism demanded by the Industry 4.0 paradigm. A critical aspect to achieve this integration is the coordination of the schedulers of both networks. TSN has information about the capabilities of the 5G-TSN integrated network, and it is in charge of deciding the path and scheduling for each TSN traffic flow. The scheduling in 5G must be done according to the scheduling decisions and information provided by TSN to guarantee the end-to-end latency requirements of TSN traffic. In this context, this paper proposes a novel Configured Grant (CG) scheduling scheme for 5G integrated into a TSN network that aims to meet the latency requirements of the different TSN flows. The proposed scheme exploits the information provided by TSN about the characteristics of the TSN traffic to coordinate its decision with the scheduling of TSN. This study demonstrates that the proposed scheduling scheme considerably increases the number of TSN flows that can be satisfactorily served in the integrated 5G-TSN network compared with a commonly used CG scheduling scheme.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114696408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maurine Chepkoech, Ngonidzashe Mombeshora, B. Malila, Joyce B. Mwangama
{"title":"Evaluation of Open-Source Mobile Network Software Stacks: A Guide to Low-cost Deployment of 5G Testbeds","authors":"Maurine Chepkoech, Ngonidzashe Mombeshora, B. Malila, Joyce B. Mwangama","doi":"10.23919/WONS57325.2023.10061896","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10061896","url":null,"abstract":"Wireless mobile networks are evolving towards supporting ubiquitous data exchange between interconnected systems and humans. Such interconnections will accelerate digital transformation in service sectors, e.g., healthcare, education, transport, and industrial automation. However, each service sector demands a diverse set of network performance requirements that must be met to achieve the optimal quality of service. Hence, network testbeds are necessary to evaluate the performance of target applications before their field implementations. Traditionally, network deployments relied on proprietary and vendor-specific hardware and software. As a result, network deployment was expensive and rigid. This paper presents a guide to configuring, deploying, operating, and evaluating open-source-based 4G and 5G mobile network testbeds. This design overcomes proprietary restrictions and achieves fast, cheaper, flexible, and permissionless private network deployment. Quality of service parameters, such as latency, throughput, and received signal strength, were evaluated against the theoretical specifications for 4G and 5G. Furthermore, comparative evaluations were done between the performance of the network testbeds and a commercial network, i.e., MTN South Africa. Evaluation results show that it is easy and cheaper to configure and operate open-source-based 4G and 5G network testbeds that meet the theoretical specifications and enable performance evaluation for test applications before their real-world implementation.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On Mitigating DIS Attacks in IoT Networks","authors":"Ghada Aljufair, M. Mahyoub, A. Almazyad","doi":"10.23919/WONS57325.2023.10061962","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10061962","url":null,"abstract":"Routing protocols deem a pivotal component of the communication stack in the Internet of Things (IoT). The ipv6 Routing Protocol for Low power and lossy networks (RPL) has been standardized by the Internet Engineering Task Force (IETF) for routing in IoT-based networks. RPL-related control messages are transmitted in the network to construct an optimized forwarding structure. A malicious insider node can attack RPL networks by sending a high number of unnecessary control messages which causes a detrimental side effect on the network performance. One of these attacks targets DIS control messages transmitted by a new node to join the network. This attack is called the DIS attack. The attacker can exploit the joining process to flood the network with a large volume of DIS messages. This paper aims to investigate the effect of DIS attacks on network performance and develop an effective technique to mitigate the adverse effects of such attacks. The proposed technique is implemented in the Contiki operating system and evaluated using the Cooja emulator. Compared to the standard RPL and other comparable work in the literature, the proposed technique retains low routing control cost, high throughput, and low energy consumption.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vehicle-to-Infrastructure Communication for Real-Time Object Detection in Autonomous Driving","authors":"Faisal Hawlader, François Robinet, R. Frank","doi":"10.23919/WONS57325.2023.10061953","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10061953","url":null,"abstract":"Environmental perception is a key element of autonomous driving because the information received from the perception module influences core driving decisions. An outstanding challenge in real-time perception for autonomous driving lies in finding the best trade-off between detection quality and latency. Major constraints on both computation and power have to be taken into account for real-time perception in autonomous vehicles. Larger object detection models tend to produce the best results, but are also slower at runtime. Since the most accurate detectors cannot run in real-time locally, we investigate the possibility of offloading computation to edge and cloud platforms, which are less resource-constrained. We create a synthetic dataset to train an object detection model and evaluate different offloading strategies. Using real hardware and network simulations, we compare different trade-offs between prediction quality and end-to-end delay. Since sending raw frames over the network implies additional transmission delays, we also explore the use of JPEG compression at varying qualities and measure its impact on prediction metrics. We show that models with adequate compression can be run in real-time on the cloud while outperforming local detection performance.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"1949 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129120778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wi-Fi Throughput Estimation for Vehicle-to-Network Communication in Heterogeneous Wireless Environments","authors":"Daniel Teixeira, Rui Meireles, Ana Aguiar","doi":"10.23919/WONS57325.2023.10061940","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10061940","url":null,"abstract":"Vehicles increasingly need to be connected to networking infrastructure, to support applications such as over-the-air updates, edge computing, and even autonomous driving. The ubiquity of Wi-Fi networks makes them a good candidate for opportunistic vehicular access. However, that ubiquity also creates a problem of choice. In a heterogeneous Wi-Fi environment, with multiple different networks available, it becomes important for vehicles to be able to pick the best-performing one. Focusing on delay-insensitive traffic, we equate network performance with throughput, and aim to estimate it to inform network selection. Throughput estimation is traditionally done by injecting probe traffic, which induces congestion. We provide a solution that avoids this by using only passive measurements of variables such as signal strength to estimate throughput. Taking real-world training data collected in a diverse vehicular Wi-Fi communication scenario, with IEEE 802.11n, ac, and ad networks, we used Symbolic Regression (SR) and Unscented Kalman Filter (UKF) to develop a computationally inexpensive throughput estimation model, UKF-SR. Using a separate testing dataset, we compared the proposed UKF-SR model against traditional linear and support-vector regression, decision tree, random forest, and shallow neural network models. UKF-SR was competitive with even the most complex models. It yielded the lowest Root-Mean-Square Errors (RMSE) for 802.11n and ac, by 4.71% and 27.59 %, respectively, and was within 1% of the best-performing model for 802.11ad.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113997900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radio-in-the-Loop Simulation Modeling for Energy-Efficient and Cognitive IoT in Smart Cities: A Cross-Layer Optimization Case Study","authors":"Sebastian Boehm, H. Koenig","doi":"10.23919/WONS57325.2023.10062069","DOIUrl":"https://doi.org/10.23919/WONS57325.2023.10062069","url":null,"abstract":"Wireless communication technologies and Internet of Things (IoT) applications are the main drivers of upcoming sustainable Smart City networks which require an effective resource management. The reduction of the transmission energy consumption and the efficient utilization of the available spectrum for wireless communication, for instance, have to be enabled by energy-efficient and cognitive IoT networks. These are implemented through optimized communication protocol stacks and algorithms that rely on actual physical layer and channel state information. The modeling and the prototype evaluation of protocol optimization approaches are mainly driven by pure simulation studies with abstracted physical layer and channel models. With the Radio-in-the-Loop (RIL) simulation [1] and modeling [2], we have created an evaluation approach that integrates real wireless hardware and radio environments into the simulation of protocol sequences and algorithms. In this paper, we demonstrate a cross-layer optimization case study for energy efficient modeling using software-defined radios alongside this basic methodology. We exemplary show the scenario of a receiver-sensitivity control to increase the energy efficiency of receiver-dominated IoT nodes in Smart City networks.","PeriodicalId":380263,"journal":{"name":"2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132121603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}