Emad Danish

Perceptual QoE based resource allocation for mobile 3D video communications

This paper suggests a power and bandwidth efficient resource allocation approach for mobile networks based on consumers perception of 3D video. We simulate a mobile 3D video transmission through which we identify the correlation between receivers signal-to-noise ratio and perceived quality. Our QoE-based approach is shown to save up to 33.13% in power and grant up to 50% more data bits for transmission, compared to QoS-based techniques.

Subjective quality estimation based on neural networks for stereoscopic videos

A neural network based technique is proposed to estimate subjective quality of stereoscopic videos. Moreover, to utilize this model for applications where availability of reference signal is not possible to receiver, it applies objective quality of video with minimum dependency on reference signal. This paper presents fast, accurate and consistent subjective quality estimation. Feasibility and accuracy of the proposed technique is thoroughly analyzed with extensive subjective experiments and simulations. Results illustrate that performance measure of 92.3% in subjective quality estimation can be achieved with the proposed technique.

Signaling Performance for SIP over IPv6 Mobile Ad-Hoc Network (MANET)

The unstable nature of MANETs over different types of wireless topologies and mobility models affects the Quality of Service (QoS) for real time applications such as Voice over IP (VoIP). One of the most efficient signaling systems for VoIP applications is the Session Initiation Protocol (SIP) which is mainly used to initiate, manage, and terminate VoIP calls over different types of IP based network systems. As a part of upgrading to Next Generation Network, MANETs will be considering IPv6 for different types of applications and devices. Therefore, SIP signaling over IPv6 MANETs needs to be investigated with different QoS performance metrics such as bandwidth, packet loss, delay and jitter. In this paper, an evaluation of SIP signaling is conducted for SIP based VoIP calls using GSM voice codec system over MANETs with Static, Uniform, and Random mobility models. This evaluation considered AODV as a reactive routing protocol and OLSR as a proactive routing protocol over both IPv4 as well as IPv6. The evaluation study of SIP signaling examined call setup time, number of active calls, number of rejected calls and calls duration. The results of this study show that, in general, IPv4 has better performance over different types of mobility models, while IPv6 upholds longer delays and poor performance over Random mobility models.

Cross-layer QoE prediction for mobile video based on random neural networks

Based on random neural networks, a cross-layer prediction model is proposed for estimating the perceptual quality of mobile video in no reference mode. The model exploits key parameters affecting video quality. Simulation results show considerable predictability performance with R-squared correlation of 0.90 and 0.39 root mean squared error.

Application of Genetic and Greedy Algorithms for Power Efficiency in Adaptive Sub-channel and Bit Allocation

Energy consumption has attracted significant attention by the research community in response to the green initiatives pertaining to electronic equipment and devices. This is especially applicable to wireless environments since the trend of adopting wireless technologies is on the increase. Hence, in this paper we suggest a method for wireless communications to minimize the total power required for transmission. The method considers sub-channel and bit allocation in orthogonal frequency division multiplexing systems for a multiuser scenario. The problem is addressed by exploiting genetic and greedy algorithms mutually to attain minimum power allocation among several users. Through simulation, the proposed method is shown to outperform static allocation methods with an average of 37.20% less required power. It is also shown that the more required bitrate by users the more power saving is achieved.

QoE-enabled efficient resource allocation for H.264 video streaming over WiMAX

A power and bandwidth efficient resource allocation approach considering consumers Quality of Experience (QoE) in the context of mobile video streaming is presented. Online QoE is estimated using Fuzzy Inference Systems. Compared to Quality of Service (QoS)-based techniques, the proposed QoE-enabled approach offers considerable saving in bandwidth and power.

On the multicast of delay sensitive data in erasure networks using practical network coding

We present a method to estimate the probability of decoding a network coded packet generation transmitted across an erasure network. Simulation results closely correlate to estimated results. The proposed method is used to multicast delay sensitive data at the a.) required delivery probability b.) optimal throughput.