• Owusu Nyarko-Boateng The University of Energy and Natural Resources, Sunyani-Ghana
  • Isaac Kofi Nti The University of Energy and Natural Resources, Sunyani-Ghana
  • Adebayo Felix Adekoya The University of Energy and Natural Resources, Sunyani-Ghana
  • Benjamin Asubam Weyori The University of Energy and Natural Resources, Sunyani-Ghana
  • Stephen Appiah The University of Energy and Natural Resources, Sunyani-Ghana



Quality Of Service, Wireless Network, Availability, Accessibility, Internet And High-Speed., IEEE802.11


Provision of internet service on university campuses has become essential and critical drivers to the progress and success of contemporary universities. Despite this intriguing technological advancement, universities are finding it challenging to provide the required quality of internet services to meet the high expectation of users on campus. Proper infrastructure, inadequate bandwidth, and effectiveness of internet service delivery achieve an optimal balance between available internet resources and the demands placed on internet resources. This paper set out to find out the state of internet infrastructures in the selected universities in Sunyani metropolis in Ghana. This paper conducted three significant investigations. A survey on user perception was conducted to ascertain the quality of user experience. A physical examination was also conducted. A wireless network analytical tool was deployed to examine the quality of 802.11 a/b/g/n wireless signal on the campuses of the selected university campuses.  The results of the three investigations revealed a poor wireless network at the university campuses. The paper proposed a conceptual framework to improve the network infrastructure on university campuses.

Motivation/Background: This study was motivated by the number of studies in literature concerning the access, usage, and quality of internet service in Africa. The study was designed to examine the quality internet service and the quality of experience (QoE) of internet user in three universities in the Sunyani metropolis in relation to access, availability and quality of internet.

Method: An in SSIDer wireless signal analytics tool was used to examine the quality of signal strength on the selected University campuses. The tool has the ability to measure certain essential indicators used to determine the quality of signal strength, bandwidth, frequency and can report whether the signal is secure or insecure. The test was carried at several locations on the campuses at different times. The result of the test and simulation by the in SSIDer tool, the signal strength at the campuses indicated a weaker signal in all three campuses.

Results: The results obtained from the test conducted at the three University campuses revealed that the wireless signals propagated at the university campuses were very poor.

Conclusions: A conceptual framework has been designed to help reduce the signal attenuations significantly.


Download data is not yet available.


Harald Haas, Cheng Chen, Dominic O’Brien (2017) A guide to wireless networking by light, Progress in Quantum Electronics, Volume 55, 2017, Pages 88-111, ISSN 0079-6727, DOI:

Nyarko‐Boateng, O., Xedagbui, F. E. B., Adekoya, A. F., & Weyori, B. A. (2020). Fiber optic deployment challenges and their management in a developing country: A tutorial and case study in Ghana. Engineering Reports, 2(2), e12121. DOI:

Odero, D. J., & Mutula, S. M. (2007). Internet Access in Kenyan University Libraries. Malaysian Journal of Library & Information Science, 12(1), 65–81.

Owusu Nyarko-Boateng, Adebayo F. Adekoya and Benjamin A. Weyori (2019). Investigating QoS and Performance of Received Signal Strength Indicator in Fiber Optics Broadband Data Communication. AJEAS. DOI: 10.3844/ajeassp.2019.391.401; Volume 12, Issue 3. Pages 391-401

Penard, T., Poussing, N., Mukoko, B., Bertrand, G., & Piaptie, T. (2015). Technology in Society Internet adoption and usage patterns in Africa: Evidence from Cameroon. Technology in Society, 42(2015), 71–80. DOI:

Pontes, H. M., Szabo, A., & Griffiths, M. D. (2015). The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study. Addictive Behaviors Reports, 1, 19–25. DOI:

Nyarko-Boateng, O., & Adekoya, A. F. (2019). Evaluation and analysis of key performance indicators which affect the QoS of mobile call traffic. International Journal of Computer Networks (IJCN), 9 (1), 14-30

Ying Qu, Bryan Ng, Michael Homer (2017). A goodput distribution model for planning IEEE 802.11 WBNs in built environments, Journal of Network and Computer Applications, Volume 99, 2017, Pages 28-46, ISSN 1084-8045, DOI:

Kadir, E. A., Siswanto, A., & Syukur, A. (2016, May). Performance analysis of wireless LAN 802.11 n standard for e-Learning. In 2016 4th International Conference on Information and Communication Technology (ICoICT) (pp. 1-6). IEEE. DOI:

Abd Ghafar, A., Kassim, M., Ya’acob, N., Mohamad, R., & Ab Rahman, R. (2020). QoS of Wi-Fi performance based on signal strength and channel for indoor campus network. Bulletin of Electrical Engineering and Informatics, 9(5), 2097-2108. DOI:

Mohamed, M. A. A. (2019). Development of Efficient Technologies for Multimedia Streaming over Wireless Networks (Doctoral dissertation, Mansoura University).




How to Cite

Osei, D. J., Nti, I. K., Adekoya, A. F., Weyori, B. A., & Appiah, S. (2020). CONCEPTUAL FRAMEWORK FOR EFFICIENT 802.11 A/B/G/N WIRELESS NETWORKS INFRASTRUCTURE TO IMPROVE CAMPUS INTERNET CONNECTIVITY. International Journal of Engineering Technologies and Management Research, 7(11), 1–8.

Most read articles by the same author(s)