Browsing by Author "Imran, Ali"
Now showing items 1-20 of 34
-
A Data Driven Framework for QoE-Aware Intelligent EN-DC Activation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)In emerging 5G networks, User Equipment camps traditionally on 4G network. Later, if the user requests a 5G service, it can simultaneously camp on 4G and 5G using EUTRAN New-Radio Dual-Connectivity (EN-DC) approach. In ... -
A Data-Driven Framework for Inter-Frequency Handover Failure Prediction and Mitigation
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)With 5G already deployed, challenges related to handover exacerbate due to the dense base station deployment operating on a motley of frequencies. In this paper, we present and evaluate a novel data-driven solution, to ... -
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ... -
A Framework to Address Mobility Management Challenges in Emerging Networks
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The key enablers for emerging cellular networks (such as densification, concurrent operation at multiple bands, and harnessing mmWave spectrum), give birth to a peculiar set of new network management challenges. One such ... -
A game theoretic framework for energy efficient deployment and operation of heterogeneous LTE networks
( IEEE , 2013 , Conference)In this paper, a game theoretical framework for energy efficient operation of heterogeneous LTE cellular networks is proposed. Within this framework, two game theoretic concepts are studied and analyzed. The first approach ... -
A generic simulation-based dimensioning approach for planning heterogeneous LTE cellular networks
( IEEE , 2014 , Conference)This paper presents a generic approach for dimensioning LTE/LTE-A cellular networks. Dimensioning is the first step of cellular network planning that determines the approximate number of base stations (BSs) needed to cover ... -
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ... -
A mathematical modeling approach and a novel solution for sector azimuth angle planning
( IEEE , 2014 , Conference)State of the art planning tools rely on intricate simulation models and metaheuristic approaches to determine the optimal azimuth angle of each sector in a system. The process is highly time consuming and the quality of ... -
A Zero-Touch Network Service Management Approach Using AI-Enabled CDR Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The detection of cells with sub-optimal performance and the identification of the root-cause of such performance is a crucial and challenging task in Network Performance Management (NPM). The contemporary NPM approaches, ... -
AI-Assisted RLF Avoidance for Smart EN-DC Activation
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)In the first phase of 5G network deployment, User Equipment (UE) will camp traditionally on LTE network. Later on, if the UE requests a 5G service, it will be made to camp simultaneously on LTE and 5G. This dual-camping ... -
A cell outage management framework for dense heterogeneous networks
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2015 , Article)In this paper, we present a novel cell outage management (COM) framework for heterogeneous networks with split control and data planes - a candidate architecture for meeting future capacity, quality-of-service, and energy ... -
Challenges in 5G: How to empower SON with big data for enabling 5G
( IEEE , 2014 , Article)While an al dente character of 5G is yet to emerge, network densification, miscellany of node types, split of control and data plane, network virtualization, heavy and localized cache, infrastructure sharing, concurrent ... -
D-RAN: A DRL-Based Demand-Driven Elastic User-Centric RAN Optimization for 6G & Beyond
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)With highly heterogeneous application requirements, 6G and beyond cellular networks are expected to be demand-driven, elastic, user-centric, and capable of supporting multiple services. A redesign of the one-size-fits-all ... -
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Densification and multi-band operation in 5G and beyond pose an unprecedented challenge for mobility management, particularly for inter-frequency handovers. The challenge is aggravated by the fact that the impact of key ... -
Data-driven analytics for automated cell outage detection in Self-Organizing Networks
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2015 , Conference)In this paper, we address the challenge of autonomous cell outage detection (COD) in Self-Organizing Networks (SON). COD is a pre-requisite to trigger fully automated self-healing recovery actions following cell outages ... -
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Fault diagnosis is turning out to be an intense challenge due to the increasing complexity of the emerging cellular networks. The root-cause analysis of coverage-related network anomalies is traditionally carried out by ... -
Distributed Load Balancing through Self Organisation of cell size in cellular systems
( IEEE , 2012 , Conference)Uneven traffic load among the cells increases call blocking rates in some cells and causes low resource utilisation in other cells and thus degrades user satisfaction and overall performance of the cellular system. Various ... -
Enabling IoT empowered smart lighting solutions: A communication theoretic perspective
( IEEE , 2014 , Conference)The aim of this article is to explore the design space of the IoT empowered smart lighting systems from communication theoretic perspective. It is noted that traditional wired solution such as digital addressable lighting ... -
Enhanced MDT-based performance estimation for ai driven optimization in future cellular networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Minimization of drive test (MDT) allows coverage estimation at a base station by leveraging measurement reports gathered at the user equipment (UE) without the need for drive tests. Therefore, MDT is a key enabling feature ... -
Enhancing Downlink QoS and Energy Efficiency Through a User-Centric Stienen Cell Architecture for mmWave Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)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 ...
