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Research Publications (Engineering and Built Environment)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/215

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    Towards a hierarchical and distributed power management framework for SGs
    (IEEE, 2023-11-16) Nleya, Bakhe; Shezi, Nokwanda
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    A resources allocation scheme for joint optical wireless transport networks
    (IEEE, 2023-08-03) Molefe, Mlungisi; Sibiya, Khulekani; Nleya, Bakhe
    As the future of networking dives into a new era of connecting every single physical device into the internet termed Internet of Things (loT), this significantly means a rapid increase in the number of online connected devices, which leads to more bandwidth hungry and data consuming devices. The fifth generation (5G) of mobile communication has been deployed already in multiple countries, therefore researchers have migrated their focus to the sixth generation (6G) of mobile communication to cater for extensive coverage and massive number of loT devices. A promising architecture and technology to cope with massive number of online devices and extensive coverage is a joint optical wireless transport network which offers comparably ultra-high systems capacity and extremely low latency while maintaining an improved quality of service. Furthermore, an optical wireless transport network can accommodate high speed mobility for frequently moving end user devices which is essential for 6G. In this paper our focus is to explore and propose an ultimate optical wireless transport network architecture scheme that will cater for loT as well as networks beyond 5G. We thus propose an innovative Optical-Backhaul and Wireless Access (OBWA) network architecture as a favorable solution for future networks. We further present a joint channel and route allocation (JCRA) scheme for achieving optimal quality of experience. Performance evaluation of the proposed JCRA scheme for OBW A network architecture show a significant improvement in the network throughput as well as the network end-to-end delay despite varying load traffic or varying flow channels.
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    Efficient index modulation techniques for 5G and beyond
    (IEEE, 2023-11-16) Mgobhozi, Bhekinkosi; Nleya, Bakhe
    Index modulation (IM) techniques are emerging as promising approaches to improve spectral efficiency and reliability for 5G/future wireless networks. This paper pro vides an overview of key IM schemes including spatial modula tion, orthogonal frequency division multiplexing with index modulation (OFDM-IM), and enhanced variants like SIM OFDM. The spectral efficiency gains of these techniques are quantified mathematically. Spatial modulation uses antenna indices to convey additional information bits, while OFDM-IM utilizes subcarrier indices. SIM-OFDM further activates sub carriers selectively based on incoming bits. Experiments demonstrate spectral efficiency improvements over classical OFDM.
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    Resources allocation for hybrid cloud-edge computing in 5G network slicing
    (TELKOM, 2023-09-01) Molefe, Mlungisi; Sibiya, Khulekani; Nleya, Bakhe; Smuts, Martin; Taute, Anton
    In typical heterogeneous networks such as 5G and beyond, innovative technologies such as edge computing and network slicing can enhance overall network performance in terms of handling critical mission services as they often require extremely low latencies. Notably, network slicing facilitates the provisioning of virtual slices with different characteristics to serve different end-user requirements. The Network operator achieves this goal by utilizing the already existing physical wireless network resource. Current resource provisioning schemes suffer inadequacies in scalability and flexibility Thus to support both Cloud and Edge Computing in 5G and beyond networking, the work herein proposes a novel low latency scheme that affords dynamic and intelligent allocation of multi-dimensional resources. It bases on a Hybrid Cloud-edge Network Slicing (HCENS) architecture on leveraging both Cloud and Edge Computing The proposed scheme creates a flexible, scalable as well as energy efficient resource provisioning. Its architecture comprises both centralized units (CUs) and distributed units (DUs). These provide storage, that in turn enhances function partitioning for various network slices. Several agent-based simulations scenarios are carried out in evaluating the efficacy of the proposed scheme. Obtained analytical and simulation results indicate drastic reductions in network latencies for critical mission end user services. This couples with reductions in storage requirements.
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    Utilizing lean techniques through a P-D-C-A approach to drive built-in-quality in a thermoforming line for an automotive component manufacturer
    (Ponte Academic Journal, 2023-08) Makua, Edward Sontaga; Nleya, Bakhe; Dewa, Mendon
    Automotive component manufacturers are faced with competitive challenges globally. At the heart of these challenges is the need to produce parts that are of high-quality standards. Now more than ever before, organizations need to work as a unit to drive the fundamentals of built in-quality if they are to maintain good quality standards and overall cost competitive leadership. An automotive component manufacturer was struggling with managing the thermoforming line outflow of defects to their customers. Substantial amounts of resources in the form of inspectors were being added on their manufacturing lines to form quality gates and inspect for quality. This has resulted in cost implications and major profitability losses and further expanded their cost of quality. The severity of the problem was further exacerbated by the acceptance of the quality gates as a status quo with little or no initiatives to turn around the situation. The aim of this study was to subdue the traditional quality management approach of inspecting for quality by introducing a series of lean manufacturing techniques that process capability and built-in quality. The study streamlined a sequence of lean manufacturing techniques that supported each other in their findings and results to develop a Plan-Do-Check-Act (PDCA) based strategic approach to drive in-process quality capability in the manufacturer’s Thermoforming line. The results of study were significant manpower reduction on the lines, improved quality capability results, reduced expected scrap rates and reworks, and an overall strategic guideline for the implementation of built-in-quality in automotive component manufacturer’s thermoforming line