Citation

Nizam, Fareha (2025) Resource allocation techniques toward next-generation fixed-mobile convergence for rural connectivity. PhD thesis, Multimedia University.

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Abstract

The growing demand for universal broadband connectivity has intensified interest in fixed–mobile convergence (FMC) as a solution to bridge the digital divide in rural and underserved regions. FMC integrates DSL, fiber, Wi-Fi, 4G/5G, and satellite into a unified infrastructure to enhance coverage and optimize resource utilization. However, network heterogeneity introduces challenges in resource allocation, latency management, and user association. This thesis develops novel strategies to address these issues in next-generation FMC systems. The study begins with a comprehensive review of FMC architectures, integration issues, and resource management approaches, identifying gaps in QoS differentiation, traffic-aware optimization, and scalable allocation. The first contribution proposes a hierarchical resource allocation framework for network slicing-enabled hybrid wireless–wireline access networks (HWWANs). A demand-oriented greedy algorithm is designed for inter-slice allocation, while convex optimization addresses intra-slice allocation, yielding superior throughput, fairness, and user satisfaction. The second contribution introduces a user association scheme for heterogeneous HWWANs. By formulating the problem as a convex optimization task, the scheme effectively balances load, reduces call blocking, and improves resource efficiency across multi-access environments. The third contribution addresses latency-aware allocation in HWWANs by maximizing effective capacity for latency-sensitive devices while meeting throughput gap requirements of hybrid CPEs. This approach enhances user satisfaction and network performance under varying traffic loads. The final contribution extends coverage to rural regions through a hybrid wireless–wireline and satellite network (HWWSAN) architecture. A fairness-aware greedy association scheme and QoS-constrained resource allocation model maximize weighted throughput while accounting for satellite and base station resource constraints. Simulation results confirm that HWWSAN improves scalability, throughput, and user satisfaction in rural deployments. In summary, this thesis presents a unified framework for resource management in FMC systems. By integrating network slicing with heterogeneous access technologies, the proposed solutions enhance rural broadband availability, reduce latency, and improve overall system performance in converged next-generation networks.

Item Type:	Thesis (PhD)
Additional Information:	Call No.: TK5103.2 .F37 2025
Uncontrolled Keywords:	Wireless communication systems
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	22 May 2026 08:26
Last Modified:	22 May 2026 08:26
URII:	http://shdl.mmu.edu.my/id/eprint/15906

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