International Journal of Mobile Network Design and Innovation 

About: International Journal of Mobile Network Design and Innovation is an academic journal published by Inderscience Publishers. The journal publishes majorly in the area(s): Wireless network & Wireless sensor network. It has an ISSN identifier of 1744-2850. Over the lifetime, 200 publications have been published receiving 851 citations. The journal is also known as: IJMNDI & Mobile network design and innovation.

Modelling the cost of heterogeneous wireless access networks

Abstract: Heterogeneous wireless access networks are today considered to be a key enabler for affordable wireless access to the internet. Thanks to the diverse usage patterns and quality of service requirements for mobile and wireless data services, operators may reduce their costs significantly by exploiting different radio access technologies. These are then accessed via 'multiradio' terminals that automatically select between available systems. As a means to identify efficient combinations of radio access technologies, we propose a methodology to estimate the total infrastructure cost for non-uniform traffic distributions. With a few numerical examples including the packet data optimised evolutions of third generation mobile systems (3G) as well as Wireless Local Area Network (WLAN) technology, the model is used to quantify the average total cost of different system configurations. The methodology should prove useful as a basis for more specific analysis of the economics of heterogeneous wireless access networks.

Improving throughput for downlink multi user MIMO-LTE advanced networks using SINR approximation and hierarchical CSI feedback

Abstract: In multi user MIMO-LTE advanced networks, the main issue is related to signal to noise ratio SINR mismatch which can result in reduced throughput and performance. Also the conventional code books may result in feedback overhead when the channels change slowly. Hence in this paper, we propose downlink multi user MIMO-LTE advanced networks using SINR approximation and hierarchical CSI feedback. Initially, signal and spatially correlated flat fading channels model of MU-MIMO is defined. Then a signal to noise ratio SINR approximation techniques is employed which utilises the channel state information at the base station. An advance structural codebook and an idea of hierarchical feedback are introduced. The main idea of hierarchical feedback is that if the channel is altered slowly, the channel state information feedback can be aggregated over multiple feedback intervals so that the aggregated bits index a larger codebook. There are pre-defined numbers of levels in a hierarchical codebook tree. This increased codebook size can effectively improve the performance of MU-MIMO. By simulation results, we show that the proposed technique improves the throughput and reduces the overhead.

On predicting in-building WiFi coverage with a fast discrete approach

Abstract: A new approach for predicting coverage of wireless LAN at 2.4 GHz is presented. Coverage prediction is one of the core parts of indoor wireless LAN planning tools. The main concern it has to deal with is providing a good trade-off between prediction accuracy and computational load. Usual approaches belong to either empirical or deterministic methods. A new perspective has recently been offered that exploits a discrete formalism based on the TLM formulation. It is referred to as Multi-Resolution Frequency Domain ParFlow (MR-FDPF). While ray-tracing handles computational load by restricting the number of considered paths, the proposed approach acts by adapting the spatial resolution. This paper presents the straight lines of MR-FDPF and details the conditions for efficient in-building coverage prediction at 2.4 GHz. In a second part this paper tackles the calibration problem and claims for an automatic calibration process to improve the fit between predictions and measurements. A couple of experiments are presented.

Automatic identification of informal social groups and places for geo-social recommendations

Abstract: Mobile locatable devices can help identify previously unknown ad hoc or semi-permanent groups of people and their meeting places. Newly identified groups or places can be recommended to people to enhance their geo-social experience, while respecting privacy constraints. For instance, new students can learn about popular hangouts on campus or faculty members can learn about groups of students routinely having research discussions. This paper presents a clustering algorithm based on user copresence that identifies such groups and places even when group members participate to only a certain fraction of meetings. Simulation results demonstrate that 90 96% of group members can be identified with negligible false positives when the user meeting attendance is at least 50%. Experimental results using one-month of mobility traces collected from smart phones running Intel's PlaceLab location engine successfully identified all groups that met regularly during that period. Additionally, the group places were identified with good accuracy.

A kriging approach to predicting coverage in wireless networks

Abstract: This paper introduces kriging as a new tool to predict network coverage in wireless networks. The proposed approach aims to reduce the cost of active site surveys by estimating network coverage at points where no site survey data is available. The proposed approach was compared with a radial basis function artificial neural network using several problems.