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  • 1.
    Banda, Laurence
    et al.
    Univ Witwatersrand, Wits Business Sch WBS, ZA-2000 Johannesburg, South Africa..
    Mzyece, Mjumo
    Univ Witwatersrand, Wits Business Sch WBS, ZA-2000 Johannesburg, South Africa..
    Mekuria, Fisseha
    Univ Witwatersrand, Wits Business Sch WBS, ZA-2000 Johannesburg, South Africa.;Council Sci & Ind Res CSIR, ZA-0001 Pretoria, South Africa..
    5G Business Models for Mobile Network Operators-A Survey2022Inngår i: IEEE Access, E-ISSN 2169-3536, Vol. 10, s. 94851-94886Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Emerging Fifth-generation (5G) mobile networks and associated technologies are expected to provide multi-service wireless applications with diverse specifications intended to address not only consumer-based smartphone applications, but also the needs of various vertical industry markets (e.g., healthcare, education, energy, mining, agriculture, manufacturing, and so forth). This paper extends 5G networks' technology orientation towards attaining economic value for all key 5G stakeholders, including customers, mobile network operators (MNOs), equipment vendors, public institutions, private enterprises, digital business start-ups and other third parties. Although several surveys and tutorials have discussed business models in connection with 5G networks, there is no comprehensive study on business models for emerging 5G networks from the MNO's perspective. In this survey article, we present and investigate key advances on business models for 5G networks and 5G MNOs in particular, from industry, use cases and research community perspectives. The paper focuses the theoretical business model concept from both strategic management and technological innovation perspectives. Thereafter, we discuss conventional business models for MNOs before presenting particular disruptive business models which can be considered for rolling out 5G networks with an aim to improve business efficiency. Additionally, the paper explores the emerging network deployment concept of private 5G networks and their related business models. Finally, we present some of the open research challenges and provide possible guidelines for implementing 5G business models based on various countries' socio-economic status and relevant 5G use cases applicable in a specific context of emerging economies.

  • 2.
    Masonta, Moshe T.
    et al.
    Tshwane Univ Technol, FSATI, ZA-0001 Pretoria, South Africa.;CSIR Meraka Inst, ZA-0001 Pretoria, South Africa..
    Mekuria, Fisseha
    CSIR Meraka Inst, ZA-0001 Pretoria, South Africa..
    Mzyece, Mjumo
    Tshwane Univ Technol, FSATI, ZA-0001 Pretoria, South Africa..
    Djouani, Karim
    Tshwane Univ Technol, FSATI, ZA-0001 Pretoria, South Africa..
    Adaptive Spectrum Decision Framework for Heterogeneous Dynamic Spectrum Access Networks2015Inngår i: Proceedings of the 2015 12th IEEE International Conference on Green Innovation for Africon Renaissance (AFRICON), Institute of Electrical and Electronics Engineers (IEEE), 2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Spectrum decision is the ability of a cognitive radio (CR) system to select the best available spectrum band to satisfy dynamic spectrum access network (DSAN) users' quality of service (QoS) requirements without causing harmful interference to primary users. In order to have reliable spectrum decision, CR nodes or secondary users (SUs) should identify available spectrum bands and from these candidate spectrum, a SU can select channels which are suitable to meet user QoS requirements. This paper proposes an adaptive spectrum decision framework (ASDF) which is a channel allocation scheme that selects suitable channels from a list of available channels based on SU preferred options. The scheme relies on a geo-location spectrum database for identification of available chanels. Key parameters (i.e. available channel bandwidth, time, and power) are extracted from each available spectrum and tagged according to their level in order to build a matrix of available channels. Our ASDF then maps channels with SUs based on channel properties and SU preferred options. Simulation results show that our ASDF is reliable and consistent when it comes to channel selection. Furthermore, our scheme provides efficient bandwidth utilization when compared to the first come first serve channel allocation scheme.

  • 3.
    Mfupe, Luzango
    et al.
    CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa.;Tshwane Univ Technol TUT, Dept Elect Engn, ZA-0001 Pretoria, South Africa..
    Mekuria, Fisseha
    CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa..
    Mzyece, Mjumo
    Tshwane Univ Technol TUT, Dept Elect Engn, ZA-0001 Pretoria, South Africa..
    Geo-location White Space Spectrum Databases: Models and Design of South Africa's First Dynamic Spectrum Access Coexistence Manager2014Inngår i: KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, ISSN 1976-7277, Vol. 8, nr 11, s. 3810-3836Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Geo-location white space spectrum databases (GL-WSDBs) are currently the preferred technique for enabling spectrum sharing between primary users and secondary users or white space devices (WSDs) in the very-high frequency (VHF) and ultra-high frequency (UHF) bands. This is true because technologies for making low-cost WSDs capable of autonomous sensing and detection of available white space (WS) spectrum are not yet feasible. This paper reviews the necessary enabling technical conditions to allow coexistence of primary and secondary systems in the VHF and UHF spectrum through a GL-WSDB approach. The practical implementation of South Africa's first GL-WSDB was performed. Results of WS channels available from five cities in South Africa calculated from the implemented GL-WSDB was compared with a commercially available GL-WSDB and was found to be 68% similar. Additionally, results from the implemented GL-WSDB were compared with measurements obtained from field spectrum scanning campaigns at two different locations in Cape Town, South Africa, and was found to be 64% similar.

  • 4.
    Mfupe, Luzango
    et al.
    CSIR, ZA-0001 Pretoria, South Africa..
    Mekuria, Fisseha
    CSIR, ZA-0001 Pretoria, South Africa..
    Mzyece, Mjumo
    Tshwane Univ Technol, Dept Elect Engn, ZA-0001 Pretoria, South Africa..
    Multicriteria Decision Analysis of Spectrum Management Frameworks for Futuristic Wireless Networks: The Context of Developing Countries2017Inngår i: International Journal of Mobile Information Systems, ISSN 1574-017X, E-ISSN 1875-905X, Vol. 2017, artikkel-id 8610353Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    National regulatory authorities (NRAs) in developing countries need an accelerated means to formulate technical regulations for the telecommunications sector. This will enable countries to gain maximum benefits from the rapid advances in technology. The existing regulation-making processes are time-consuming and do not cope with the emergence of global technological changes. This article presents an efficient and quicker approach to formulate regulatory framework to govern the wireless technologies that are based on the Dynamic Spectrum Access (DSA) technique. The approach utilises Multicriteria Decision Analysis (MCDA) tools. The article uses a case study to evaluate dominant Dynamic Spectrum Management (DSM) frameworks. Finally, a sustainable DSM framework that has potential to address the digital divide challenges in the context of developing countries is proposed.

  • 5.
    Mfupe, Luzango
    et al.
    Tshwane Univ Technol, Dept Elect Engn, ZA-0001 Pretoria, South Africa.;CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa..
    Montsi, Listietsi
    CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa..
    Mzyece, Mjumo
    Tshwane Univ Technol, Dept Elect Engn, ZA-0001 Pretoria, South Africa..
    Mekuria, Fisseha
    CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa..
    Enabling Dynamic Spectrum Access through Location Aware Spectrum Databases2013Inngår i: AFRICON, 2013, Institute of Electrical and Electronics Engineers (IEEE), 2013, s. 517-522Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Dynamic spectrum access (DSA) regulations and associated radio network technologies are expected to result in efficient frequency spectrum utilization by future wireless networks. TV white space (TVWS) networks supported by location aware spectrum databases (LASDs) will be the first step to realize DSA, until cost-effective cognitive radio (CR) devices are reliable enough for building future networks. This paper describes a design and development process of a LASD for rural communities in South Africa. Apart from avoiding the difficult problem of spectrum sensing, the database also protects primary TV broadcasters from any harmful interference that might be caused due to secondary spectrum usage. The LASD is designed as a tool for testing DSA policy frameworks and enables reconfigurable TVWS networks to provide full capacity and affordable wireless broadband Internet connectivity for rural communities.

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