Category Archive: 'MS Opnet Projects'

A Traffic Load Balancing Framework for Software-Defined Radio Access Networks Powered by Hybrid Energy Sources

Dramatic mobile data traffic growth has spurred a dense deployment of small cell base stations (SCBSs). Small cells enhance the spectrum efficiency and thus enlarge the capacity of mobile networks. Although SCBSs consume much less power than macro BSs (MBSs) do, the overall power consumption of a large number of SCBSs is phenomenal. As the energy harvesting technology advances, base stations (BSs) […]

Coherent Detection and Channel Coding for Bistatic Scatter Radio Sensor Networking

With rapid advances of scatter radio systems, the principle of reflection rather than active transmission employed by backscatter sensor networks, has emerged as a potential key enabler for low-cost, large-scale and dense ubiquitous sensor networks. Despite the presence of three different unknown channel links due to the bistatic setup (i.e., carrier emitter and receiver are dislocated), as […]

Exploiting Efficient and Scalable Shuffle Transfers in Future Data Center Networks

Distributed computing systems like MapReduce in data centers transfer massive amount of data across successive processing stages. Such shuffle transfers contribute most of the network traffic and make the network bandwidth become a bottleneck. In many commonly used workloads, data flows in such a transfer are highly correlated and aggregated at the receiver side. To lower down […]

Cascade with varying activation probability model for influence maximization in social networks

Activation probability is a key parameter in information diffusion models and has been observed to be varying with history activations in many empirical studies. However, such phenomenon has not been incorporated in the diffusion models applied in Influence Maximization Problem. In this paper, we first conduct empirical analyses on the large scale dataset collected from a popular online […]

Design and Evaluation of the Optimal Cache Allocation for Content-Centric Networking

Content-Centric Networking (CCN) is a promising framework to rebuild the Internet’s forwarding substrate around the concept of content. CCN advocates ubiquitous in-network caching to enhance content delivery, and thus each router has storage space to cache frequently requested content. In this work, we focus on the cache allocation problem, namely, how to distribute the cache capacity […]