@inproceedings{Torre2019b,

title = {Evaluating the Latency Overhead of Network-Coded Cooperative Networks for Different Cloud Sizes},

author = {Roberto {Torre} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-10-01},

booktitle = {IEEE 5G World Forum's Secret Workshop},

address = {Dresden, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre20192,

title = {Network-coded Cooperative Communication in Virtualized Mobile Small Cells},

author = {Sarah {Irum} and Roberto {Torre} and Hani {Salah} and Gerrit {Schulte} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-10-01},

booktitle = {IEEE 5G World Forum's Secret Workshop},

address = {Dresden, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre19-rlnc-modeling,

title = {Optimization of a Random Linear Network Coding System with Newton Method for Wireless Systems},

author = {Roberto {Torre} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-05-20},

booktitle = {2019 IEEE International Conference on Communications (ICC): Communication QoS, Reliability and Modeling Symposium},

address = {Shanghai, China},

abstract = {Random Linear Network Coding (RLNC) is widely considered a key enabler for 5G networks. It compensates for lost and corrupted packets by sending redundant coding packets. Despite the considerable attention RLNC received from the research community, the impact of the number of redundant coded packets on the network performance is poorly understood. An excessive number of redundancies would pollute the network with useless packets that give no additional information, and an insufficient number of redundancies would not provide enough packet loss resilience. We introduce a novel formal model for predicting the number of losses a system will have when RLNC is applied, by optimizing simulation results with the Newton-Raphson method. The model allows the sender to set the minimum amount of RLNC redundancies needed to keep the packet loss under a certain threshold. We validate our model against simulations by calculating the MSE between simulation results and our model.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ew20192,

title = {Towards a Better Understanding of Live Migration Performance with Docker Containers},

author = {Roberto {Torre} and Elena {Urbano} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-05-01},

booktitle = {European Wireless},

address = {Aarhus, Denmark},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ccnc219,

title = {Demonstration of Mobile Edge Cloud for 5G Connected Cars},

author = {Oleksandr {Zhdanenko} and Jianhui {Liu} and Roberto {Torre} and Stanislav {Mudriievskyi} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2019)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{survey-cell-mcast,

title = {A Study on Data Dissemination Techniques in Heterogeneous Cellular Networks},

author = {Roberto {Torre} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-08-31},

booktitle = {SpringerLink Digital Library},

volume = {1},

number = {1},

pages = {10},

publisher = {Springer},

address = {Faro, Portugal},

organization = {Technische Universit\"{a}t Dresden},

series = {1},

abstract = {Cellular networks are undergoing a major shift in their deployment and optimization. Even though the deployment of LTE led to an overall performance increase in cellular networks, disseminating data to multiple users inside a cell is still under development. Currently, it is done via unicast connections, which is inefficient in terms of throughput and power consumption because the data is duplicated. The 3rd Generation Partnership Project (3GPP) developed a novel technology to be able to multicast and broadcast information over cellular networks, MBMS. However, different studies stated that this solution had problems related to the spectrum, and new multicasting alternatives which provide better performance have appeared. Since these new alternatives came up, a race for the control of multicasting/broadcasting in cellular networks has started. In this paper, we collect, analyze and compare the leading technologies that enable the system to efficiently disseminate data over cellular networks, and indicate which ones are the most likely to succeed.},

keywords = {},

pubstate = {accepted},

tppubtype = {inproceedings}

}

@inproceedings{mgproto-nc,

title = {Network-Coded Multigeneration Protocols in Heterogeneous Cellular Networks},

author = {Roberto {Torre} and Sreekrishna {Pandi} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-08-31},

booktitle = {SpringerLink Digital Library},

volume = {1},

number = {1},

pages = {10},

publisher = {Springer},

address = {Faro, Portugal},

organization = {Technische Universit\"{a}t Dresden},

series = {1},

abstract = {In the upcoming era of 5G a huge increase in the number of devices will define a heterogeneous environment with a massive amount of lossy wireless communications. Among all error correction protocols, Random Linear Network Coding is now taking the lead. However, these protocols were firstly designed to provide in-order-delay in D2D communications. The interplay between Network Coding and Mobile Clouds creates a mesh network where nodes may receive information from multiple sources. Nevertheless, Network Coding protocols still have some weaknesses in multipath environments because they can only handle one generation at the same time. In this paper, we propose a method to improve conventional RLNC protocols by making them be able to manage multiple generations simultaneously. We also identify possible trade-offs between conventional RLNC protocols and our new approach. We conclude that multigeneration protocols have better behavior in terms of throughput and resilience, but the average latency per decoded packet is higher.},

keywords = {},

pubstate = {accepted},

tppubtype = {inproceedings}

}

@inproceedings{nccnet-model,

title = {A Network-coded Cooperation Protocol for Efficient Massive Content Distribution},

author = {Israel {Leiva-Mayorga} and Roberto {Torre} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Vicent {Pl\`{a} Bosc\`{a}} and Jorge {Martinez-Bauset} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-08-15},

booktitle = {IEEE GLOBECOM 2018 Conference Proceedings},

volume = {1},

number = {1},

pages = {7},

publisher = {IEEE},

address = {Dubai, United Arab Emirates},

organization = {Technische Universit\"{a}t Dresden},

series = {1},

abstract = {Massive content delivery in cellular networks is in the spotlight of the research community as data traffic is increasing at an incredibly fast pace. The existing LTE-A implementation for content broadcast presents several issues such as indoor coverage, along with low energy and spectral efficiency. Therefore, novel systems that provide efficient massive content delivery and reduced energy consumption are needed. In this paper we present a massive content distribution protocol that combines the benefits of cooperative mobile clouds (CMCs) with Random Linear Network Coding (RLNC) through multicast WiFi links. Our main goal is to offload data traffic from the LTE-A link and to reduce the energy consumption at the cooperating UEs. We solve the problem of excessive signaling that oftentimes arises in cooperative approaches by eliminating feedback messages within the CMCs. Instead, we provide a simple but accurate analytic model to correctly configure the number of coded transmissions to be performed within the CMCs. Results show that energy savings of more than 37 percent can be achieved with our protocol when compared to direct content download from the cellular base station. Furthermore, bandwidth utilization at the LTE-A link is sharply reduced.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pand1801:Massive,

title = {Massive Video Multicasting in Cellular Networks using Network Coded Cooperative Communication},

author = {Sreekrishna {Pandi} and Roberto {Torre} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-01-01},

booktitle = {2018 15th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2018)},

address = {Las Vegas, USA},

abstract = {The sharp increase in the video traffic and handheld devices in the last 

decade warrant for new paradigms of applications including massive video 

multicasting, such as in the football stadiums, or concert halls where 

multiple angles of the live feed could be multicasted to the users' 

smartphones or tablets. However, the current state-of-the-art cellular 

solution is simply individually unicast the video stream to each node, 

which is extremely resource-inefficient. In this demo, we show how we 

perform reliable massive video multicasting over standard LTE links by 

combining the principle of cooperative networking and Random Linear Network 

Coding. We offload the majority of the traffic from LTE onto Wifi 

multicasts, thus increasing the efficiency of the LTE channel usage by 

multiple orders of magnitude. This demo has been demonstrated at the Mobile 

World Congress 2017 as a part of Nokia's booth to demonstrate the 5G 

stadium experience.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}