{"title":"MOTIVE - Time-Optimized Contextual Information Flow On Unmanned Vehicles","authors":"Kostantinos Gerakos, Kakia Panagidi, Charalampos Andreou, Dimitris Zampouras","doi":"10.1145/3479241.3486691","DOIUrl":"https://doi.org/10.1145/3479241.3486691","url":null,"abstract":"The last decades, an increasing interest has been witnessed on the exploitation of unmanned vehicles in fields such as environmental monitoring, commercial air surveillance, domestic policing, geophysical surveys, disaster relief, scientific research, civilian casualties, search and rescue operations, maritime patrol,traffic management, etc. Regardless of the domain (i.e., aerial, ground or surface) that they belong to, the key elements that distinguish them as the leading edge of their technology, are the provided degree of autonomy (i.e., the ability to make decisions without human intervention) and the endurance and the payload that they can support. The mobile IoT paradigm has been significantly expanded with the proliferation of drones and unmanned robotic devices. End-to-end communication and edge decision support are major challenges when operating with mobile nodes and especially with drones. In this paper, we propose a framework that uses two decision making stochastic optimization models of on-line control unit applied on transmission functionalities of mobile and static nodes adaptive to changes in network quality statistics. This is driven by a novel dynamic suppression control of telemetry process and control messages based on the principles of the Optimal Stopping Theory (OST). MOTIVE's time-optimized control mechanism ensures the optimal delivery of critical information from unmanned vehicles to ground control station and vice versa. The main goal, through this proposal, is to significantly enhance the operation of unmanned vehicles when operating under saturated, high traffic wireless networks.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116301127","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}
Necati A. Ayan, Arti Ramesh, A. Seetharam, A. A. D. A. Rocha
{"title":"Hierarchical Models for Detecting Mobility Clusters during COVID-19","authors":"Necati A. Ayan, Arti Ramesh, A. Seetharam, A. A. D. A. Rocha","doi":"10.1145/3479241.3486690","DOIUrl":"https://doi.org/10.1145/3479241.3486690","url":null,"abstract":"Analyzing and developing mobility models that accurately capture human mobility is critical for combating the COVID-19 pandemic and minimizing the spread of the disease. In this paper, we design a two-layer hierarchical mobility model to model user mobility in the city of Rio de Janeiro and its suburbs by analyzing cellular network connectivity data during the COVID-19 pandemic. To this end, we collaborate with one of the main network providers in Brazil, TIM Brazil, to collect user connectivity logs from April 5th, 2020 to July 2nd, 2020, which we use to generate mobility graphs. We adopt the Louvain community detection algorithm in the first layer of our hierarchical model to detect the main communities in the city from the mobility graphs. Our model then uses the KMeans++ and Agglomerative clustering methods in the second layer to identify high, medium, and low mobility clusters within each community. Via extensive experiments, we show that the Louvain, and the Kmeans++ and Agglomerative algorithms outperform traditional clustering approaches in the first and second layers, respectively. Our results also demonstrate that our hierarchical model is able to pinpoint main mobility locations within each community and can be used by authorities to implement partial lockdown measures in place of widely unpopular complete lockdowns.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121660141","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":"Modelling Downlink Aggregation in Paced WLANs","authors":"F. Gringoli, D. Leith","doi":"10.1145/3479241.3486697","DOIUrl":"https://doi.org/10.1145/3479241.3486697","url":null,"abstract":"We derive an analytic model of packet aggregation on the the downlink of an 802.11 WLAN when packet arrivals are paced. The model is closed-form and so suitable for both analysis and design. We validate the model against both simulations and experimental measurements and we show its remarkable accuracy despite its simplicity. With proposed next generation architectures for over-the-top services it is straightforward to introduce packet pacing at the network edge and indeed it is this observation that motivates the current work. With this in mind the model developed here provides a new basis for the analysis and design of next generation edge networks.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126047261","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}
Joe Saad, K. Khawam, Mohamad Yassin, Salvatore Costanzo
{"title":"A Multi-Slice Multi-Operator Dynamic Weighted Fair Queuing RAN Scheduling in a Game Theoretic Framework","authors":"Joe Saad, K. Khawam, Mohamad Yassin, Salvatore Costanzo","doi":"10.1145/3479241.3486703","DOIUrl":"https://doi.org/10.1145/3479241.3486703","url":null,"abstract":"In 5G networks, multiple services with different Quality of Service (QoS) constraints are supported such as services requiring high throughput, low latency, or dense coverage. In order to support these different types of services, slicing is a key mechanism for providing logical partitioning of the same physical infrastructure based on the network service demands. Radio resource allocation optimization remains an important aspect in the context of slicing especially when multiple virtual operators with diverse types of services come into play. In such a context, numerous factors should be considered when allocating radio resources such as the available capacity, the diverse resource needs of virtual operators (VO) and the monetary cost of resources allotted by the infrastructure provider. This paper portrays the resource allocation problem as a non-cooperative game then as a Stackelberg game in a multi-VO multi-slice network. In such a context, the infrastructure provider seeks to satisfy the VO minimal throughput requirement via Dynamic Weighted Fair Queuing (DWFQ) while guaranteeing its own monetary profit, whereas VOs strive to selfishly fulfill their throughput requirements in any slice. Through exhaustive simulations, adequate pricing and satisfactory resource allocation to each VO in each slice were obtained based on specific network inputs.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114511762","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":"An Evolution of Proxy Mobile IPv6 to the Cloud","authors":"Ákos Leiter, Nándor Galambosi, L. Bokor","doi":"10.1145/3479241.3486684","DOIUrl":"https://doi.org/10.1145/3479241.3486684","url":null,"abstract":"Network Function Virtualization (NFV) and Software Defined Networks (SDN) do not leave any legacy network services untouched. This work will present how Proxy Mobile IPv6 (PMIPv6) can evolve to the cloud. Our approach is to introduce this evolution within a step-by-step architecture guideline while keeping standards compatibility. We also show how PMIPv6 can fit into a central cloud - edge cloud environment on the top of Kubernetes and Openstack under a unified orchestration umbrella. The proper integration of PMIPv6 into this new environment does not just enforce acquiring new capabilities, e.g., scaling PMIPv6 elements; it also can ensure closed-loop orchestration where PMIPv6 can be controlled continuously by the actual network needs.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128025751","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}
Eirini Barri, Christos Bouras, V. Kokkinos, Aspasia Koukouvela
{"title":"A Mechanism for Improving the Spectral Efficiency in mu-MIMO for 5G and Beyond Networks","authors":"Eirini Barri, Christos Bouras, V. Kokkinos, Aspasia Koukouvela","doi":"10.1145/3479241.3486681","DOIUrl":"https://doi.org/10.1145/3479241.3486681","url":null,"abstract":"The ultimate challenge that arises in 6G and 5G and beyond networks is how the mobile networks of the future will be able to cope with the constantly increasing number of devices. In Multiuser Multiple-Input and Multiple-Output (mu-MIMO), the base station basically serves many users at the same time using the same frequency. The topic considered in this paper is the spectral performance in Downlink mu-MIMO. This paper's goal is to improve the achieved spectral efficiency of the communication system, as well as the achieved reliability of the communication link. An algorithm based on downlink scheduling and the resource allocation is proposed to achieve maximum spectral use of the system. Considering user's demands, this paper's mechanism is able to allocate the potential user of the queue to the \"best antenna\" based on its demands and distance. That provokes a larger number of devices that can be supported, always according to the specifications stated in IEEE 802.11ax.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124169704","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":"Towards the Design of Smart Vehicular Traffic Flow Prediction","authors":"A. Boukerche, Jiahao Wang","doi":"10.1145/3479241.3486701","DOIUrl":"https://doi.org/10.1145/3479241.3486701","url":null,"abstract":"Thanks to the fast development of computing hardware and Machine Learning-based (ML) model, many impressive prediction models have been proposed under the topic of traffic flow prediction. While ML models highly improve the accuracy of the prediction system, it has higher time consumption on the training phase when being applied to a large traffic network, compared to traditional time-series models. The other thing we should consider when predicting the traffic flow in a large traffic network is to utilize the spatial correlation among the detectors. To solve above problems, we will provide a traffic flow prediction solution in this paper. The solution has three parts: a hybrid prediction model based on Graph Convolutional Network (GCN) and Recurrent Neural Network (RNN), which can extract spatial-temporal features from dataset; a prediction strategy for multi-step prediction; an efficient training strategy for prediction on large-scale network.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232446","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":"Minimizing Rate Variability with Effective Resource Utilization in 5G Networks","authors":"Fidan Mehmeti, T. L. Porta","doi":"10.1145/3479241.3486692","DOIUrl":"https://doi.org/10.1145/3479241.3486692","url":null,"abstract":"One of the main features of 5G networks is to provide high data rates with low variability to mobile users. However, this has been shown to be ineffective from the operator's perspective as it leads to abundantly unused network resources. Reallocating the unused resources to the same users increases back the data rate variability. A more efficient way is to provide different low-variability data rates to the users depending on their channel conditions, while not wasting network resources considerably. In this paper, the goal is to minimize the coefficient of variation across all users in the cell. To that end, we consider two approaches, one with reserved resources for every user and the other where the amount of allocated resources is decided on the fly. Then, for each of them, we look at different allocation policies and derive the maximum achievable constant rate for every user. We evaluate the performance on a real trace. Results show that utilizing policies with no-resource-reservation increases considerably the utilization of network resources and the achievable data rates at the expense of a slight increase in variability. Also, using our policies, the waste of resources drops to 15%, which is almost 4x lower than with other state-of-the-art techniques.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132293596","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}
Rafał Marjasz, Konrad Polys, Anna Strzoda, K. Grochla
{"title":"Improving Delivery Ratio in LoRa Network","authors":"Rafał Marjasz, Konrad Polys, Anna Strzoda, K. Grochla","doi":"10.1145/3479241.3486698","DOIUrl":"https://doi.org/10.1145/3479241.3486698","url":null,"abstract":"The LoRa (Long Range) radio communication provides large coverage areas, low bandwidth, small data rates, and transmitting limited data sizes, with very low energy usage. Multiple transmission channels are used, but the number of channels available is fairly limited - e.g. 8 in most countries in Europe. The amount of interferences may be estimated by the continuous observation of the number of delivered packets and the received signal strength. We propose to aggregate and analyse those metrics per channel and geographical area. When the proportion of received packets per some of the areas decreases, it is subjected to heavier interferences than other parts of the network and should be used less intensively. Thus we propose to allocate the weights for each channel per geographic area and/or device, defining the probability of the channel usage. Furthermore, we created an algorithm that periodically updates the weights and a simulation model using OMNeT++, FloRa, taking into account possible packets collisions. The algorithm has been validated for both random and realistic network topologies. The simulation evaluations show a significant improvement in the package delivery efficiency, by almost 50% in scenarios with very high interference level simulated and by more than 13% in scenarios fed with real-life measurements of packet delivery probability changes in time.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"18 Odontol Sect 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123422110","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}
Nimrah Mustafa, Imdadullah Khan, Muhammad Asad Khan, Z. Uzmi
{"title":"Social Groups Based Content Caching in Wireless Networks","authors":"Nimrah Mustafa, Imdadullah Khan, Muhammad Asad Khan, Z. Uzmi","doi":"10.1145/3479241.3486694","DOIUrl":"https://doi.org/10.1145/3479241.3486694","url":null,"abstract":"The unprecedented growth of wireless mobile traffic, mainly due to multimedia traffic over online social platforms has strained the resources in the mobile backhaul network. A promising approach to reduce the backhaul load is to proactively cache content at the network edge, taking into account the overlaid social network. Known caching schemes require complete knowledge of the social graph and mainly focus on one-to-one interactions forgoing the prevalent mode of content sharing among circles of 'friends'. We propose Bingo, a proactive content caching scheme that leverages the presence of interest groups in online social networks. The mobile network operator (MNO) can choose to incrementally deploy Bingo at select network nodes (base stations, packet core, data center) based on user profiles and revenue numbers. We approximate the group memberships of users using the available user-content request logs without any prior knowledge of the overlaid social graph. Bingo can cater to the evolving nature of online social groups and file popularity distribution for making caching decisions. We use synthetically generated group structures and simulate user requests at the base station for empirical evaluation against traditional and recent caching schemes. Bingo achieves up to 30%-34% gain over the best baseline.","PeriodicalId":349943,"journal":{"name":"Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128304598","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}