[C139] A. Umer, S. A. Hassan, H. Jung, “Computation Offloading and Resource Allocation in NOMA-MEC Enabled Aerial-Terrestrial Networks Exploiting mmWave Capabilities for 6G,” IEEE ICC June 2024.

[C138] F. M. A. Khan, H. A. Zeid, S. A. Hassan, “Enhancing the Performance of Model Pruning in Over-the-Air Federated Learning with Non-IID Data,” IEEE ICC June 2024.

[C137] K. M. Hamza, S. Basharat, H. Jung, M. Gidlund, S. A. Hassan, “Secrecy Analysis of RIS-assisted Uplink NOMA Systems under Nakagami-m Fading,” IEEE ICC June 2024.

[C136] M. Bilal, S. F. Zahra, H. Rizwan, T. Umer, S. A. Hassan, et al., “Single versus Double IRS-Assisted Networks: A Comparative Analysis using Practical Phase Shifting,” IEEE WCNC April 2024.

[C135] M. Ibrahim, W. H. Raza, M. Moiz, S. A. Hassan, H. Jung, M. Gidlund, “On the Performance of Multi-IRS-assisted Networks Across Real Urban, Suburban, and Rural Environments,” IEEE WCNC April 2024.

[C134] M. T. Qaiser, M. S. Sohail, M. Shafqat, S. A. Ullah, H. Jung, S. A. Hassan, “Optimizing Resource Allocation in MEC-Enabled CR-NOMA-Assisted IoT Networks: A DRL-Driven Strategy,” IEEE WCNC April 2024.

[C133] S. Basharat, S. A. Hassan, H. Jung, K. Dev, A. Mahmood, M. Gidlund, “Ergodic Rate Analysis of RIS-Assisted BAC-NOMA Systems under Nakagami-m Fading,” IEEE Globecom, Dec 2023, Malaysia.

[C132] S. A. Ullah, S. A. Hassan, H. Jung, K. Dev, “Impact of Imperfect CSI on Multiuser MIMO-OFDM-based IIoT Networks: A BER and Capacity Analysis,” IEEE Globecom Dec 2023, Malaysia.

[Chapter 18] M. K. Shehzad, S. A. Hassan, M. A. L-Nieto, P. Otero, “UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks“, in Intelligent Unmanned Air Vehicles Communications for Public Safety Networks, Springer, Singapore, ISBN 9789811912924, May 2022.

[Chapter 17] M. W. Akhter, S. A. Hassan, “Future Autonomous Transportation: Challenges and Prospective Dimensions“, in Intelligent Cyber Physical Systems for Autonomous Transportation, Springer, Cham, ISBN 9783030920548, December 2021.

[Chapter 16] M. Amjad, M. Waheed, S. A. Hassan, H. K. Qureshi, “UAV-assisted Energy Harvesting for WSN/IoT Networks“, in Energy Harvesting in Wireless Sensor Networks and Internet of Things, IET Publishers, ISBN 9781785617362, December 2021.

[Chapter 15] M. K. Shehzad, M. W. Akhtar, S. A. Hassan, “Performance of mmWave UAV-Assisted 5G Hybrid Heterogeneous Networks“, in Autonomous Airborne Wireless Networks, First Edition, John Wiley and Sons, ISBN 9781119751687, July 2021.

[Chapter 14] O. Popoola, S. Ansari, R. I. Ansari, L. Mohjazi, S. A. Hassan, et al, “IRS-Assisted Localization for Airborne Mobile Networks“, in Autonomous Airborne Wireless Networks, First Edition, John Wiley and Sons, ISBN 9781119751687, July 2021.

[Chapter 13] R. Mustafa, S. A. Hassan, “Machine-learning-enabled smart cities“, in Communication Technologies for Networked Smart Cities, IET Digital Library, ISBSN 9781839530296, June 2021.

[Chapter 12] Shah Zeb, Qamar Abbas, Syed Ali Hassan, Aamir Mahmood, and Mikael Gidlund, “Enhancing Backscatter Communication in IoT Networks with Power-Domain NOMA“, in Wireless-Powered Backscatter Communications for Internet of Things, pp. 81-101, Springer, Cham, 2020.

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.

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.

Summary

Dr. Syed Ali Hassan and Dr. Aamir Mahmood (Assistant Professor, Mid Sweden University, Sweden) established their collaboration through an Initiation Grant from STINT, Sweden in 2017, for a joint research project. Since then, they have actively worked together in joint supervision of students are various levels, writing funding applications, organizing bilateral research visits, extending their internationalization activities and networks, and arranging special issues in conferences and journals.