The Information Processing and Transmission (IPT) Lab is intended to provide a research platform that investigates problems at the interface of wireless communication theory, signal processing theory, and Applied Mathematics. The research at IPT helps in solving theoretical problems that find applications in real system. The mission of the lab is to provide innovative solutions from a variety of areas, including communication and information theories, statistical signal processing, signal estimation and detection, multi-hop cooperative networks, green wireless communications, smart grid communications, and multi-user systems.
School of Electrical Engineering and Computer Science
National University of Sciences and Technology
Biography: Syed Ali Hassan received his Ph.D. in Electrical Engineering from Georgia Institute of Technology, Atlanta, USA in 2011. He received his MS Mathematics from Georgia Tech in 2011 and MS Electrical Engineering from University of Stuttgart, Germany, in 2007. He was awarded BE Electrical Engineering (highest honors) from National University of Sciences and Technology (NUST), Pakistan, in 2004. His broader area of research is signal processing for communications. Currently, he is working as an Assistant Professor at the School of Electrical Engineering and Computer Science (SEECS), NUST, where he is heading the IPT research group, which focuses on various aspects of theoretical communications.
Dr. Syed Ali Hassan
[J23] H. Munir, S. A. Hassan, H. B Parveiz, L. Musavian, Q. Ni, “Resource Optimization in Multi-Tier HetNets Exploiting Multi-Slope Path Loss Model”, IEEE Access, May, 2017.
[J22] M. A. Aslam, S. A. Hassan, “Analysis of Linear Network Coding in Cooperative Multi-Hop Networks”, Springer Wireless Personal Communications, to appear, 2017.
[J21] A. Ijaz, S. A. Hassan, S. A. R. Zaidi, D. N. K. Jayakody, , “Coverage and Rate Analysis for Downlink HetNets Using Modified Reverse Frequency Allocation Scheme“, IEEE Access, Feb, 2017.
[J20] E. Mushtaq, S. Ali, S. A. Hassan , “On Low Complexity ML Decoder For Quaternion Orthogonal Designs“, IEEE Communications Letters, to appear, Feb, 2017.
[J19] M. Hussain, S. A. Hassan, “Impact of Intra-Flow Interference on the Performance of 2D Multi-Hop Cooperative Network“, IEEE Communications Letters, to appear, 2017.
[J18] Muhammad Ahsen, Syed Ali Hassan, D. Nalin K. Jakakody, “Propagation Modeling in Large-Scale Cooperative Multi-hop Ad Hoc Networks”, IEEE Access, Dec. 2016.
[C71] E. Mushtaq, S. Ali, S. A. Hassan, “Novel Construction Methods of Quaternion Orthogonal Designs based on Complex Orthogonal Designs,” IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, Jun 2017.
[C70] R. I. Ansari, S. A. Hassan, C. Chrysostomou, “A SWIPT-based Device-to-Device Cooperative Network,” 24th International Conference on Telecommunications (ICT), Limassol, Cyprus, May 2017.
[C69] O. W. Bhatti, H. Suhail, U. Akber, S. A. Hassan, H. Pervaiz, L. Musacian, Q. Ni, “Performance Analysis of Decoupled Cell Association in Multi-Tier Hybrid Networks using Real Blockage Environments”, Proceedings of the IEEE IWCMC, Jun, 2017, Spain.
[C68] S. Habib, S. A. Hassan, A. A. Nasir, H. Mehrupuyn, “Millimeter Wave Cell Search for Initial Access: Analysis, Design, and Implementation”, Proceedings of the IEEE IWCMC, Jun, 2017, Spain.
[C67] A. Raza, A. Aziz, S. Q. A. Naqvi, S. A. Hassan, A. A. Nasir, “Multiple Carrier Frequency Offsets Estimation in Cooperative Networks: An Experimental Study”, Proceedings of the IEEE IWCMC, Jun, 2017, Spain.
[C66] J. Abdullah , S. A. Hassan, “Geometry Optimization for WiFi-based Indoor Passive Multistatic Radars’ “, Proceedings of the IEEE IWCMC, Jun, 2017, Spain.
[Chap 1] S. A. R. Naqvi, S. A. Hassan, F. Hussain, “IoT Applications and Business Models”, Springer International Publishing, ISBN 978-3-319-55405-1, 2017.
[Chap 2] S. A. Hassan, S. S. Syed, F. Hussain, “Communication Technologies in IoT Networks”, Springer International Publishing, ISBN 978-3-319-55405-1, 2017.
[Chap 3] S. A. R. Naqvi, S. A. Hassan, Z. Mulk, “Encoding and Detection in mmWave Massive MIMO”, Springer, ISBN 978-0-12-804418-6, Nov, 2016.
Estimates of signal-to-noise ratio (SNR) are used in many wireless receiver functions, including signal detection, power control algorithms and turbo decoding etc. Although SNR is an important parameter in studying performance analysis of different communication systems, it can also be used in determining which nodes to participate in the Cooperative Transmission (CT), which is an emerging area of research.
Multi-hop wireless transmission, where radios forward the message of other radios, is becoming popular both in cellular as well as sensor networks. This research is concerned with the statistical modeling of multi-hop wireless networks that do cooperative transmission (CT). CT in a physical layer wireless communication scheme in which spatially separated wireless nodes collaborate to form a virtual array antenna for the purpose of increased reliability. The key contribution of this research is to model the transmissions that hop from one layer of nodes to another under the effects of channel variations, carrier frequency offsets, and path loss. It has been shown that the successive transmission process can be modeled as a quasi-stationary Markov chain in discrete time..
Blind source separation (BSS) has become an area of prime interest. Conventional adaptive source separation systems use a training sequence to estimate and separate sources with the help of predefined optimization criteria. In BSS, the key idea is to use the data statistics to get apriori knowledge and thus separate the sources blindly
Cooperative relaying methods have attracted a lot of interest in the past few years. A conventional cooperative relaying scheme has a source, a destination, and a single relay. This cooperative scheme can support one symbol transmission per time slot, and is called full rate transmission. However, existing full rate cooperative relay approaches provide asymmetrical gain for different transmitted symbols..
The objective of this study is a comparison of WiMAX and Wireless DOCSIS, two access technologies for fixed wireless access (FWA), for rural environments. The band of interest is 2.5 GHz. In this band, WiMAX is called Mobile WiMAX, even though it is used also for FWA. The technologies will be compared in terms of data density, expressed as Mbps per km. The study is to be limited to the PHY layer and for a single cell in the downlink direction.
The IEEE 802.11 WiFi standard has been widely used in wireless local area networks (WLAN), which specifies an over-the-air interface between wireless clients and access point or between two wireless clients. With the recent development of multiple-input multiple-output (MIMO) systems at the physical (PHY) layer and frame aggregation at the medium access control (MAC) layer, the IEEE 802.11n standard provides the fastest data rates and larger coverage areas in different environments. However, as wireless network proliferates in indoor environments specially homes, the network topology has evolved from simple single access point-based network into more complex multi-hop topologies.
Design and Development of Opportunistic Large Array Networks for Smart Grid Communications
Sensors and sensor networks have an important impact in meeting environmental challenges. Sensor applications in multiple fields such as smart power grids,smart buildings/meters and smart industrial process control significantly contribute to more efficient use of resources. Wireless sensor and actuator networks (WSANs) are networks of nodesthat sense and potentially also control their environment. They communicate the information through wirelesslinks enabling interaction between people, devices, or computers and the surrounding environment.
Interference Alignment in Femtocells
The topology and architecture of cellular networks are undergoing a major paradigm shift from voice- centric, circuit switched and centrally optimized for coverage towards data-centric, packet switched and organically deployed for capacity. Current cellular systems in the world, especially in Pakistan, are homogenous in the sense that there is a base station that serves a specified larger area (in kilometers) and then an adjacent base station serves the adjacent area. This macro-cellular system is deployed in most parts of the world since 3 last decades. However, a disadvantage of the macro-cellular system is that in remote areas or some typical terrains where the base-station’s signal cannot reach the end-user, the probability of outage (i.e., a user without signal coverage) increases
In recent years, wireless data traffic has exponentially grown due to a change in the way today’s society creates, shares and consumes information. This change has been accompanied by an increasing demand for higher speed wireless communication. Massive MIMO links are expected to become a reality within the next ten years. Towards this aim, the Massive MIMO communication is envisioned as one of the key wireless technologies of the next decade. These very high bit-rates will enable a plethora of long-awaited applications, such as ultra-fast massive data transfers among nearby devices, or high-definition videoconferencing among mobile personal devices in small cells, also to address spectrum scarcity and capacity limitations of current cellular systems. The latter application of current cellular systems is one of the most critical one that motivates one to carry out research in this particular area.
The objective of this project is to initiate a research collaboration between Mid Sweden University (MIUN) and the National University of Sciences and Technology (NUST) to investigate enabling ICT technologies for power distribution systems that can reliably monitor the load variations and transmission losses in real-time. Such monitoring is essential to i) cope with the potential failures in the distribution network caused by gap in demand and capacity, ii) develop smart metering solutions and, iii) guard against transmission losses and theft. The project aims to extend this effort for M2M and future 5G enabling technologies.
In summary, the project will focus on these elements:
1) Research Visits: We organize two-sided short visits (1-3 weeks) of senior researchers and MSc/PhD students to work on the problem
2) Guest Lectures: Senior researchers deliver thematic lectures at the universities
3) Workshops: We intend to organize a workshop by inviting other researchers and the specialists. The main purpose of this workshop is in depth discussion on the research problems and gathering real-life requirements.