Research Articles

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https://hdl.handle.net/20.500.14155/199

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Browsing Research Articles by Author "Chabalala, S. C."

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    Mobile Messaging for Service Integration in Marginalised Communities in Lesotho
    (IST-Africa 2013 Conference Proceedings, 2013) Chabalala, S. C.; Lerato, L.; Molete, S
    In recent years, growing communication tools, facilitating an affordable platform for improving communication within the communities in which we live and work. Adaption of information and communication technologies (ICT) infrastructure has the potential to enable socio-economic development, more especially in marginalized rural areas (MRAs) where resources are scarce and infrastructure is highly limited. This paper presents part of the work conducted at the National University of Lesotho to establish and setup a prototype towards improving ICT infrastructure access for rural communities in Lesotho. This work involves implementation and integration of a mobile messaging gateway for services development, aiming to break communication barriers in MRAs due to lack of resources. Although short message service (SMS) has mainly been used for person-to-person messaging, services from applications to person have become extremely popular in recent years. The integration of Internet services and mobile technologies brings network services and web applications to a new level of mobility down to the user level. Through adoption of living-labs (LLs) methodology in ICT for development (ICT4D) projects, recent works illustrate that applications targeted at the helm of service provisioning for cross-platform mobile devices have the potential to benefit the MRAs.
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    Multi-User MIMO Downlink Channel Capacity for 4G Wireless Communication Systems
    (International Journal of Computer Science and Network Security, 2013) Chabalala, S. C.; Mphatsi, L.
    This paper investigates the performance of multiple-input multiple-out (MIMO) wireless communication systems in a multi-user environment. The user information is defined by a data matrix generated by the observed input-output data of the system, from which subspace identification method is developed using LQ-decomposition of the matrix. The LQ-decomposition is basically used to solve for the user transmitted signals from a mobile station to the base station. Then the relation between the data matrix and the channel information based is derived using singular value decomposition (SVD) algorithm. The effect of additive white noise due to the wireless channel on the SVD of a rectangular matrix is considered to estimate channel capacity of a MIMO system in multi-user environment. Simulation results are then presented to evaluate the performance of the MIMO system in terms of channel capacity, which illustrate that multi-user MIMO systems have good channel capacity.