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In this paper, we analyze a new medium access control (MAC) protocol for a multi-beam directional network via high-fidelity simulation using a real-time emulator. Multi-beam directional systems are a novel approach to networking which leverage recent advances in physical layer technology, allowing formation of multiple simultaneous beams in both transmit and receive. These multiple beams significantly...
This paper presents experimental verification of the performance of Group Centric Networking (GCN), a networking protocol developed for robust and scalable communications in lossy networks where users are localized to geographic areas, such as military tactical networks. Initial simulations in NS3 showed that GCN offers high delivery with low network overhead in the presence of high packet loss and...
In this paper, we consider medium access control (MAC) policies for emerging systems that are equipped with fully digital antenna arrays which are capable of adaptive multi-beam directional communications. With this technology, a user can form multiple simultaneous transmit or receive beams, allowing for greater spatial reuse and higher network throughput. The enabling technology that we consider...
Thanks to the convergence of pervasive mobile communications and fast-growing online social networking, mobile social networking is penetrating into our everyday life. Aiming to develop a systematic understanding of mobile social networks, in this paper we exploit social ties in human social networks to enhance cooperative device-to-device (D2D) communications. Specifically, as handheld devices are...
Computational issues affecting the feasibility of optimal distributed detection with correlated measurements are well recognized. We propose utilizing the t-cherry junction tree, an approach based on probabilistic graphical models, to approximate the joint distribution of the correlated measurements. In principle, this approach provides a sequence of progressively more efficiently represented approximations...
The massive scale of online social networks makes it very challenging to characterize the underlying structure therein. In this paper, we employ the t-cherry junction tree, a very recent advancement in probabilistic graphical models, to develop a compact representation and good approximation of an otherwise intractable model for users' relationships in a social network. There are a number of advantages...
An increasingly common problem facing cellular data networks is the overloading issue during peak times. We propose two methods to reduce the maximum load of a cellular network caused by interest diffusion over a social network. The first is via preloading, in which social networks can be used to predict user demand and serve users early. The second method is offloading, which uses peer-to-peer communications...
In this work, we have proposed to partition a channel into a narrow and a wide subchannel for overcoming MAC overheads. The narrow subchannel is used for sending short packets and the wide channel is used for sending long packets. We have proposed a centralized algorithm for partitioning the channel and have discussed some interesting problems when extending this to a distributed algorithm.
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