Mohammad Nour Hindia

Statistical Modelling and Characterization of Experimental mm-Wave Indoor Channels for Future 5G Wireless Communication Networks.

This paper presents an experimental characterization of millimeter-wave (mm-wave) channels in the 6.5 GHz, 10.5 GHz, 15 GHz, 19 GHz, 28 GHz and 38 GHz frequency bands in an indoor corridor environment. More than 4,000 power delay profiles were measured across the bands using an omnidirectional transmitter antenna and a highly directional horn receiver antenna for both co- and cross-polarized antenna configurations. This paper develops a new path-loss model to account for the frequency attenuation with distance, which we term the frequency attenuation (FA) path-loss model and introduce a frequency-dependent attenuation factor. The large-scale path loss was characterized based on both new and well-known path-loss models. A general and less complex method is also proposed to estimate the cross-polarization discrimination (XPD) factor of close-in reference distance with the XPD (CIX) and ABG with the XPD (ABGX) path-loss models to avoid the computational complexity of minimum mean square error (MMSE) approach. Moreover, small-scale parameters such as root mean square (RMS) delay spread, mean excess (MN-EX) delay, dispersion factors and maximum excess (MAX-EX) delay parameters were used to characterize the multipath channel dispersion. Multiple statistical distributions for RMS delay spread were also investigated. The results show that our proposed models are simpler and more physically-based than other well-known models. The path-loss exponents for all studied models are smaller than that of the free-space model by values in the range of 0.1 to 1.4 for all measured frequencies. The RMS delay spread values varied between 0.2 ns and 13.8 ns, and the dispersion factor values were less than 1 for all measured frequencies. The exponential and Weibull probability distribution models best fit the RMS delay spread empirical distribution for all of the measured frequencies in all scenarios.

Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks.

As the enterprise of the “Internet of Things” is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application’s priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness.

A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network

Fourth generation wireless networks provide mobile users with high data rate and quality of services, such as Long Term Evolution (LTE), which has been developed by the 3rd Generation Partnership Project (3GPP). However, 3GPP is not a standardized scheduling algorithm to utilize LTE properties in smart grid applications. This paper proposes a two-level scheduling scheme composed of cooperative game theory (bankruptcy and shapely) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). The proposed algorithm improves resource allocation for three smart grid applications, namely, voice, video surveillance, and metering data. On the first level, bankruptcy and shapely value algorithm fairly distribute the resources among smart grid applications. On the second level, TOPSIS algorithm allocates the resources among applications users based on their criteria and the applications preferences. Moreover, the systems performance has been evaluated in terms of throughput, delay, and fairness index. The proposed algorithm is compared with existing algorithms, such as proportional fairness, modified largest weighted delay first, and exponential rule schemes. The results show a significant improvement compared to other algorithms. This paper presents a novel technique consisting of both TOPSIS and game theory algorithms to study three smart grid applications. The novel algorithm has proven to be an effective scheduling technique for smart grid applications.

A Novel LTE Scheduling Algorithm for Green Technology in Smart Grid

Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing scheduling algorithms, a novel bandwidth estimation and allocation technique and a new scheduling algorithm are proposed. The technique allocates available network resources based on application’s priority, whereas the algorithm makes scheduling decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7 % and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively.

Window-based channel impulse response prediction for time-varying ultra-wideband channels

This work proposes channel impulse response (CIR) prediction for time-varying ultra-wideband (UWB) channels by exploiting the fast movement of channel taps within delay bins. Considering the sparsity of UWB channels, we introduce a window-based CIR (WB-CIR) to approximate the high temporal resolutions of UWB channels. A recursive least square (RLS) algorithm is adopted to predict the time evolution of the WB-CIR. For predicting the future WB-CIR tap of window wk, three RLS filter coefficients are computed from the observed WB-CIRs of the left wk−1, the current wk and the right wk+1 windows. The filter coefficient with the lowest RLS error is used to predict the future WB-CIR tap. To evaluate our proposed prediction method, UWB CIRs are collected through measurement campaigns in outdoor environments considering line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. Under similar computational complexity, our proposed method provides an improvement in prediction errors of approximately 80% for LOS and 63% for NLOS scenarios compared with a conventional method.

Teleoperation Scheduling Algorithm for Smart Grid Communications in LTE Network

This paper investigates the performance of three well-known algorithms namely Proportional Fairness, Exponential Proportional Fairness and Modified-Largest Weighted Delay First in LTE network. This study is based on their performance in three smart grid applications (Sub-Station Automation, Advance Metering Infrastructure and Wide Area Situational Awareness). In addition, a new mathematical model has been developed and proposed to target certain weakness of the above mentioned algorithms.

Path loss model in outdoor environment at 32 GHz for 5G system

This paper presents the outcome of outdoor measurement campaigns for 5G system at 32 GHz, which were conducted at the University Technology Malaysia (UTM), Kuala Lumper branch. Featuring measurement results of line-of-sight (LOS) for Co- and Cross antenna polarizations using highly direction horn antennas at transmitter and receiver are investigated for large scale path loss models. For non-line of sight (NLOS) case study, the horn and omni directional antennas are used at the receiver side for comparing horn-horn and horn-omni cases. Based on the measured data, the close-in free space and floating intercept path loss models are investigated for a unique environment. The results show that the path loss exponent range is 3.4–6.7 based on different antenna configuration for LOS and NLOS scenarios. This work founds that the FI path loss model is not suitable for NLOS scenario at such particular environment.

A Stochastic Geometry Approach to Full-Duplex MIMO Relay Network

Cellular networks are extensively modeled by placing the base stations on a grid, with relays and destinations being placed deterministically. These networks are idealized for not considering the interferences when evaluating the coverage/outage and capacity. Realistic models that can overcome such limitation are desirable. Specifically, in a cellular downlink environment, the full-duplex (FD) relaying and destination are prone to interferences from unintended sources and relays. However, this paper considered two-hop cellular network in which the mobile nodes aid the sources by relaying the signal to the dead zone. Further, we model the locations of the sources, relays, and destination nodes as a point process on the plane and analyze the performance of two different hops in the downlink. Then, we obtain the success probability and the ergodic capacity of the two-hop MIMO relay scheme, accounting for the interference from all other adjacent cells. We deploy stochastic geometry and point process theory to rigorously analyze the two-hop scheme with/without interference cancellation. These attained expressions are amenable to numerical evaluation and are corroborated by simulation results.

LTE smart grid performance gains with additional remote antenna units via radio over fiber using a microring resonator system

Abstract Smart grid (SG) systems form the backbone of various services that provide comfort and efficiency enhancements. Increasing numbers of SG users cause additional demands by applications on the SG, and this trend eventually leads to the SG being unable to deliver services with sufficient quality. A system of optical and wireless access technologies, namely radio over fiber (RoF), is proposed here for adoption in SG systems (SG-RoF) in order to ensure provision of adequate capacity in line with transmission bandwidth service requirements. This paper details a microring resonator (MRR) system for use in SG-RoF systems, whereby the extra optical carriers are generated so as to increase the number of serviceable remote antenna units (RAUs). A number of very useful and widely used smart grid applications, namely video surveillances and advanced metering data, are also described in the context of the SG-RoF. The performance of well-known algorithms, such as proportional fairness, modified largest weighted delay first, exponential proportional fairness and exponential rule, are evaluated in this work to determine the optimal candidate for use in the proposed system.

A Stochastic Geometrical Approach for Full-Duplex MIMO Relaying Model of High-Density Network

Abstract In a high-density wireless communication network, users suffer from low-performance gains due to multiple path loss and scattering issues. Relay nodes, a significant multi-hop communication approach, provide a decent cost-effective solution, which not only provides better spectral efficiency but also enhances the cell coverage area. In this approach, full-duplex topology is the most efficient way in order to provide maximum throughput at the destination, however, it also leads to undesired relay self-interference. In this paper, we formulated a new Poisson point process approach including a wide variety of interferences by considering a multi-hop high-density cooperative network (source-to-relay and relay-to-destination). Performance evaluation is carried out by using stochastic geometric approach for full-duplex MIMO relaying network to model signal-to-interference-plus-noise ratio (SINR) and success probability followed by average capacity and outage probability of the system. The obtained expressions are amenable and provide better performance as compared to conventional multiple antenna ultra-density network approach.