Citation

Nizam, Fareha and Chuah, Teong Chee and Lee, Ying Loong (2024) Latency-Aware Resource Optimization for Next-Generation Wireless-Wireline Convergent Networks. IEEE Access, 12. pp. 120661-120671. ISSN 2169-3536

Text Latency-Aware Resource Optimization for Next-Generation Wireless-Wireline Convergent Networks.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

A hybrid wireless-wireline access network (HWWAN) is an integrated network infrastructure that combines wireless and wired technologies to offer users seamless and reliable connectivity. However, the existing resource management schemes for HWWANs have largely overlooked the stringent quality of service (QoS) requirements of latency-critical users. Moreover, the surge in the demands for ultra-broadband applications with extremely strict real-time requirements has resulted in an explosive growth of data traffic, rendering network resource allocation challenging for HWWANs. This paper proposes an efficient radio resource allocation scheme for HWWANs that effectively addresses the requirements of both latency-critical user equipment (UEs) and hybrid customer premises equipment (HCPEs) with throughput gap (TG) requirements. Specifically, we formulate a resource optimization problem to maximize the effective capacity (EC) of UEs while considering the TG requirements of HCPEs, and the availability of physical resource blocks (PRBs) at the base station. The problem is solved using convex optimization. Simulation results indicate the efficacy of the proposed scheme in improving the percentages of satisfied UEs and HCPEs, the sum EC of UEs, and the aggregate throughput of all the HCPEs.

Item Type:	Article
Uncontrolled Keywords:	Hybrid wireless-wireline access network
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Oct 2024 06:03
Last Modified:	01 Oct 2024 06:03
URII:	http://shdl.mmu.edu.my/id/eprint/13030

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