- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Cooperative Communication and Network Coding
- Millimeter-Wave Propagation and Modeling
- Advanced Wireless Network Optimization
- Software System Performance and Reliability
- Wireless Body Area Networks
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Modular Robots and Swarm Intelligence
- IoT and Edge/Fog Computing
- Advanced Data and IoT Technologies
- Military Defense Systems Analysis
- Underwater Vehicles and Communication Systems
- Full-Duplex Wireless Communications
- Telecommunications and Broadcasting Technologies
- Service-Oriented Architecture and Web Services
- Wireless Networks and Protocols
- Advanced Data Processing Techniques
- Software Engineering Techniques and Practices
- Radar Systems and Signal Processing
- Software Reliability and Analysis Research
- Microwave Engineering and Waveguides
- Advanced Computational Techniques and Applications
- Caching and Content Delivery
DELL (United States)
2024
National University of Sciences and Technology
2020-2023
University of Toronto
2022
Defence Research and Development Canada
2022
University of Oklahoma
2017-2019
University of Tulsa
2017-2019
Bahria University
2012-2013
Jinnah University for Women
2006
Abstract Today, patients are demanding a newer and more sophisticated health care system, one that is personalized matches the speed of modern life. For latency energy efficiency requirements to be met for real‐time collection analysis data, an edge computing environment answer, combined with 5G speeds techniques. Previous surveys have focused on new fog architecture sensor types, which leaves untouched aspect optimal techniques, such as encryption, authentication, classification used...
Abstract Reconfigurable intelligent surfaces (RISs) are envisioned to transform the propagation space into a smart radio environment (SRE) realize diverse applications of sixth‐generation (6G) wireless communication. By smartly tuning massive number elements via controller, an RIS can passively phase‐shift electromagnetic (EM) waves enhance system performance. The absence radio‐frequency (RF) chains makes energy‐efficient and cost‐effective solution for future networks. In this paper,...
Self-healing is a key desirable feature in emerging communication networks. While legacy self-healing mechanisms that are reactive nature can minimize recovery time substantially, the recently conceived extremely low latency and high Quality of Experience (QoE) requirements call for pro-active instead thereby enabling minimal times. A corner stone proactive predictive analytics historical network failure logs (NFL). In current networks NFL data remains mostly dark, i.e., though they stored...
To achieve zero touch automation in next generation wireless networks through artificial intelligence (AI), large amounts of training data is required. This publicly unavailable and a major hindrance research on AI applications to communication. One solution using limited real generate synthetic that can be used lieu data. Generative Adversarial Networks (GAN) have been successfully for this purpose. In paper, we choose two available GAN - based models one deep learning autoregressive model....
In this article, we develop a statistical framework to quantify the area spectral efficiency (ASE) and energy (EE) performance of user-centric cloud based radio access network (UC-RAN) downlink. We propose remote head (RRH) clustering mechanism, which: 1) provides significant improvement in received signal-to-interference-ratio through selection diversity; 2) enables efficient interference protection by inducing repulsion among scheduled RRH clusters; 3) can self-organize cluster radius deal...
Complexity is an inherent property in wireless heterogeneous networks (HetNets). In this paper, we investigate the application of agent-based modeling (ABM) tool for optimization complex and dynamic HetNets. The proposed framework contains a diversity game-theoretic, machine learning, rule-based algorithms within same model. We present analyze HetNet ABM model that runs parallel reinforcement learning (RL) spectrum deployment, interference management, resource allocation, load balancing at...
Network slicing in fifth generation (5G) radio access network (RAN) enables serving massive traffic with diverse and stringent quality of service (QoS) requirements. Multiple logical networks can be built using RAN over a single infrastructure. This paper considers three different types slices that are standardized by third partner project (3GPP): ultra-reliable low-latency communication (URLLC), enhanced mobile broadband (eMBB), machine type (mMTC). Each slice has unique requirements for...
Open radio access network (O-RAN), driven by O-RAN Alliance is based on the disaggregation of traditional RAN systems into unit (RU), distributed (DU) and central (CU) components. It provides a unique opportunity to reduce cost wireless deployment using open-source software, serving as foundation for compliant functions, utilizing low-cost, generic white-box hardware Relying two core pillars openness intelligence , there has been coordinated global effort from operators equipment providers...
This paper presents an analytical framework for performance characterization of a novel Stienen cell based user-centric architecture operating in millimeter wave spectrum. In the proposed architecture, at most one remote radio head (RRH) is activated within non overlapping user equipment (UE)-centric cells (S-cells) generated Voronoi region around each UE. Under presented framework, we derive models three key indicators (KPIs): i) SINR distribution (used as indicator quality service (QoS)),...
With increasing cell density and the heterogeneity in network, optimal user-cell association which is a well known open problem, will become an even more challenging issue. Contrary to current studies that address problem for convectional HetNets with massive MIMO deployments HF (high frequencies) ranges, this paper we investigate dense two-tier networks deployment both at macro femto-tier operating mmWave spectrum, respectively. We evaluate performance of four algorithms network under two...
It is well known that current reactive network management would be unable to support the exponential increase in complexity and rapidity of change future cellular networks. Keeping this perspective, goal paper investigate applicability machine learning predictive models assess cell-level user quality experience (QoE) real-time. For purpose, we leverage a 5 week LTE metrics data collected at cell level granularity for national operator. Domain knowledge applied QoE with key performance...
In this paper, we consider coordinated multipoint transmission (CoMP) by using distributed data base stations (DBSs) in a User-centric Cloud-based Radio Access Network (UCRAN). The creation of non-overlapping virtual cells (or service zones) centered around user, contrary to traditional cellular architecture, shifts the mode operation from station centric “always ON” user-centric “on-demand cells.” contrast existing literature, show that CoMP is only beneficial network architectures where...
With highly heterogeneous application requirements, 6G and beyond cellular networks are expected to be demand-driven, elastic, user-centric, capable of supporting multiple services. A redesign the one-size-fits-all architecture is needed support needs. While several recent works have proposed user-centric cloud radio access network (UCRAN) architectures, these do not consider heterogeneity requirements or mobility users. Even though significant gains in performance been reported, inherent...
Ambitious targets for aggregate throughput, energy efficiency and ubiquitous user experience are propelling the advent of ultra- dense networks. Intercell interference high consumption in an ultra-dense network prime hindering factors pursuit these goals. To address aforementioned challenges, this paper, we propose a novel user-centric orchestration solution Cloud RAN based deployments. In solution, cluster (virtual disc) is created around users depending on their service priority. Within...
The popularity of cellular internet things (IoT) is increasing day by and billions IoT devices will be connected to the internet. Many these have limited battery life with constraints on transmit power. High user power consumption in networks restricts deployment many 5G. To enable inclusion devices, 5G should supplemented strategies schemes reduce consumption. Therefore, we present a novel joint uplink association resource allocation scheme for minimizing while meeting quality service. We...
INDOOR POSITIONING SYSTEM is a system in which we can locate the position of an object indoor environment utilizing ultrasonic waves generated by narrow directional transmitter. To achieve objective detection, have designed transmitter and receiver circuits, RF transmitter, for synchronization purposes. By implementing time arrival method, located object. It accomplished using distances between multiple receivers single room. signal starts timer when will reach at end, it stop then extracted...
Path planning algorithms have drawn attention of researches in the last few years. Mobile path robots are considered to be very useful for surveillance and military use. Efficiency parameters include distance time taken by UGVs reach target destination both known (global) environment real unknown (local) environment. Pre-planned trajectories need complete static information respective a successful implementation. Runtime dynamic obstructions handled using different sensing devices. This...
Wireless and Wired computer networks are excessively used all over the world. The most commonly network protocol for wired wireless IEEE 802.3i 802.11g respectively. provides maximum data rate of 54Mbits/s within a bandwidth 20MHz. Ethernet can provide 10 Mbits/s BASE-T twisted pair technology. number users Wi-Fi technology has increased exponentially since last decade. question that arises is which local area network's performance better under full load condition? In this paper, using OPNET...
A multi-function radar is designed to perform disparate functions, such as surveillance, tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) budget. management (RRM) module system makes decisions on prioritisation, parameter selection, scheduling of associated tasks. However, optimal RRM algorithms are generally computationally complex operational radars resort heuristics. On the other hand, based artificial intelligence (AI) have been shown yield...
Legacy base station (BS) centric cellular architecture is marked by tight interlock between spectral efficiency (SE) and energy (EE). That means, unless new degrees of freedom intelligent dynamic adaptability added, any significant gain in SE must come at the cost EE. Even most predominant approaches for capacity enhancement such as network densification yield gains increased consumption. Moreover, future mobile networks, key challenge not only rampantly growing volume traffic, but also...
User-centric network architectures are a key proponent to enable the uniform Quality of Experience (QoE) requirement for future dense heterogeneous (HetNet) deployments. However, catering spatio-temporally varying user service demands arising from plethora diverse mobile applications remains challenge in such architectures. In this paper, we propose QoE-centric elastic framework multi-tier cellular deployment. The leverages control and data plane separation architecture (CDSA) enabling...
The Global software industry worth about $293 billion in 2011 is plagued by an ironic fact that a huge proportion of the projects are below their schedules or not completed due to bad planning, poor specification product specifications and technical inadequacies. concept quality management gaining increasingly more popularity as firms now prefer use assurance practices provide products reliable efficient. This paper aims augment earlier research conducted relating identifies any link between...