Mobility Load Balancing (MLB) is a common technique to deal with the uneven traffic distribution in mobile networks. The aim of MLB is to alleviate congestion problems by sharing traffic demand among neighbor cells through the modification of handover parameters. MLB has been successfully used in legacy radio access technologies. However, in Long Term Evolution […]
Read moreLong-Term Evolution Advanced (LTE-A) will rely on the concept of “small cell”, i.e. low-power and low-cost radio base station, whose target is to provide broadband and energy-efficient coverage in residential sites and hot spot outdoor environment. Small cells will be characterized by some peculiar features that will make easier the coordination among base stations in […]
Read moreWBAN scan play vital role in medical diagnosis and preventive medical treatment to a next level. So far lots of independent miniature sensors are being used to monitor and record vital patient readings. These miniature sensors can also be installed on human body to form WBAN, so as to assimilate group readings and form more comprehensive information […]
Read moreAn experimental characterization of the off-body propagation channel for the ultrawideband (UWB) band from 3.1 GHz to 8 GHz for body area networks (BAN) is presented in this letter. The channel is evaluated in terms of path loss (PL) and Root Mean Square (RMS) delay spread. Channel statistics from measurements carried out considering subjects of different gender in standing still […]
Read moreRegional ACO-Based Cascaded Adaptive Routing for Traffic Balancing in Mesh-Based Network-on-Chip Systems
The regular topology of mesh-based network-on-chip (NoC) provides flexible and scalable architecture for chip multiprocessor (CMP) systems. However, as the complexity of network increases, routing problems become performance bottlenecks. In the field of wide area networks (WANs), ant colony optimization (ACO) has been applied to an adaptive routing for improving performance and achieving load balancing. […]
Read moreAs a newly emerging network model, heterogeneous information networks (HINs) have received growing attention. Many data mining tasks have been explored in HINs, including clustering, classification, and similarity search. Similarity join is a fundamental operation required for many problems. It is attracting attention from various applications on network data, such as friend recommendation, link prediction, […]
Read moreTo be successful in the 21st century, students must have a fundamental knowledge of complex networks which allows them to explore the interconnectedness of our world. Network science, a relatively new field of study, represents a fundamental shift away from reductionism to a more complex real world approach to problem solving which looks at interactions between […]
Read moreChallenges arose from body effect in design of implant and on-body antennas, has dominated bodyarea network base station antenna design researches. However, design of an efficient base station antenna in a compact size is also a challenge. This letter presents a miniaturized omni-directional antenna in two bands of 403.5 MHz for medical implant communication services (MICS) and 2.45 GHz for industrial, […]
Read moreIn this paper, we investigate a distributed beamforming problem to optimize energy efficiency (EE) in ultra-wideband (UWB) based implant body area networks (IBANs). To evaluate the impact of relay location on the EE, a relay location based cooperative network model is proposed, where multiple on-body relays are employed to assist an implant node to communicate with a BAN coordinator. With the proposed […]
Read moreImproved PCFICH decoding in LTE systems
This paper studies control format indicator (CFI) estimation methods in 4G-LTE communication systems. CFI is an essential control signal in LTE, and must be correctly detected at the receiver to avoid degraded system performance. The standard method of CFI detection involves the use of the Maximum Likelihood (ML) estimation criterion. Unfortunately, ML decoding performance relies on accurate […]
Read more