Wireless Networks

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    Techno-Economic Analysis of 5G Deployment Scenarios involving Massive MIMO HetNets over mmWave: A Case Study on the US State of Texas
    ( 2018-01-03) Jha, Ashutosh ; Saha, Debashis
    The fifth generation (5G) of mobile services envisages network heterogeneity, cell densification, and high spectral efficiency using Massive MIMO, operating at millimeter-wave frequencies. Accurately assessing the potential of financial returns for such a complex network poses to operators unique challenges including techno-economic analysis leading to the identification of decision variables most sensitive to the profitability parameters. Attempting to demystify their concerns, we evaluate the profitability potential for realistic 5G deployment scenarios over 28 GHz frequency in the State of Texas. Interestingly, we discover that the total cost of ownership for 5G network is about one-third of that for 4G LTE-Advanced (LTE-A) deployment, yielding estimated returns amounting to $482.14 million for the period 2020-2030. The sensitivity analyses predict profitability in 70% of the cases of 5G, against LTE-A. For operators, the crucial levers having the maximum impact on profitability are decisions pertaining to the spectrum acquisition and the pricing of services.
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    Quantifying Location Privacy in Urban Next-Generation Cellular Networks
    ( 2018-01-03) Roth, John ; Tummala, Murali ; McEachen, John ; Scrofani, James
    With urbanization and cellular subscribership rising sharply, cellular use in urban locales has become a normative behavior for the majority of the world’s population. As the research community pushes the limits of what is possible in the next generation cellular arena, it is prudent to simultaneously hold in tension the responsibility to provide appropriate protections to the ultimate end users of such technology. To this end, this research illustrates a location-based attack in modern cellular networks. This attack leverages control information sent over the radio access network without the benefit of encryption. We show how this attack is particularly potent in urban localization where it is important to infer location in three dimensions. We quantify the efficacy of such an attack, and therefore the associated location privacy, through simulation both in a generic cellular environment and in an environment modeled after downtown Honolulu. Our results show that accuracy on the order of 15 meters is possible.
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    Modeling the GPRS Network Latency with a Double Pareto-lognormal or a Generalized Beta Distribution
    ( 2018-01-03) Pfitzinger, Bernd ; Baumann, Tommy ; Emde, Andreas ; Macos, Dragan ; Jestädt, Thomas
    Taking a newly collected large data set on the TCP connection termination latency in GPRS networks we try to identify the underlying statistical distribution. The data extends the observed latencies to large time scales necessitating a heavy-tail distribution. Many distributions work well for the main body of the data. However, the heavy tail of the distribution benefits from mixing different statistical distributions. We compare several distributions and find that the double Pareto-lognormal distribution and the generalized Beta distribution of the second kind fit the data equally well.
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    Network-wide Measurement of TCP RTT in 2G Networks
    ( 2018-01-03) Pfitzinger, Bernd ; Baumann, Tommy ; Emde, Andreas ; Macos, Dragan ; Jestädt, Thomas
    We analyze existing server-side log data of a large scale automatic toll system to measure the TCP round-trip-time (RTT) as experienced by the communication between the central system and the on-board units (OBUs) deployed for tolling heavy-goods vehicles. The RTT is estimated from passive monitoring by parsing server-side log files and aggregating fleet-wide statistics over time. Using this data we compare the characteristics of the four different types of OBU and the three GPRS (2G) networks used. We find the RTT data to be consistent with existing, smaller samples and extend the observed RTT range by an order of magnitude. The OBU types exhibit a markedly different behavior, most notably for long RTTs, and we find one of the 2G networks to -˜hum’ at 50 Hz and harmonics.
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    MoHiD : A Scalable Mobility Platform based on Hierarchical DHT
    ( 2018-01-03) Kim, Haeun ; Park, Jaehyun ; Han, Sangyup ; Kim, Myungchul
    In order to resolve the scalability and handover performance issues of existing approaches, we propose a scalable mobility platform which is based on the hierarchical Distributed Hash Table (HDHT), referred to here as MoHiD, to provide host mobility through a hierarchical DHT. In MoHiD, the location information of the hosts is stored in the HDHT running on the MoHiD Access Router to provide mobility. In the HDHT, the storage level of each entry can be specified, which drastically reduces the handover delay by limiting the number of overlay hops occurring during the query processing steps. In order to demonstrate the feasibility of MoHiD, we used a commercial cloud to measure the entry query time of the HDHT on the global scale and constructed a testbed to measure the handover performance. The experimental results show that the HDHT query delay and the total handover delay are 16.7 ms and 115.9 ms, respectively, this providing evidence of rapid handovers.