dc.contributor.author | Kakembo, Edris Diriisa | |
dc.date.accessioned | 2019-11-18T12:56:19Z | |
dc.date.available | 2019-11-18T12:56:19Z | |
dc.date.issued | 2019-06-26 | |
dc.identifier.citation | Kakemb, D.E. (2019).Energy-efficiency optimization of wireless access networks for 5G and LTE-Advanced. Unpublished undergraduate dissertation. Makerere University: Kampala, Uganda. | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12281/7222 | |
dc.description | A report Submitted to the School of Electrical and Computer Engineering of Makerere University
in Partial Fulfilment of the Requirements for the Degree of Bachelor of Science in
Telecommunications Engineering | en_US |
dc.description.abstract | Traditional wireless and mobile network focuses on higher throughput, coverage and larger
capacity. In future, energy efficiency will be of vital importance for wireless networks due to a
large number of connected and battery constrained mobile devices. In Long Term Evolution
Advanced (LTE-Advanced) and 5G Networks, Carrier Aggregation, Massive Multiple in Multiple
Out(MIMO) and Heterogeneous networks are proposed to increase the transmission bandwidth
and hence data rate. In this work, we investigated the effect of Carrier aggregation, Massive MIMO
and Heterogeneous Networks on the energy efficiency of the network based on the Orthogonal
Frequency Division Multiple Access (OFDMA) downlink while taking the users Quality of
Service constraints into consideration. A power consumption model is developed for LTE and
LTE-Advanced macro cell and femtocell base stations, along with a suitable energy efficiency
measure. All the simulations were done in MATLAB. The simulations results include; Power per
bit transmitted against cell radius for different values of Bandwidth, Energy efficiency with
Number of antennas, Energy efficiency with Small cell density (AP density) and also Energy
efficiency against AP density for different values of spectral efficiency. The project evaluates the
performance of Carrier Aggregation when fixed and dynamic powers are allocated to the MIMO
sub-channels and the analysis is done by comparing their throughputs verified over SNR. The
simulation outputs are shown as graphs and discussed | en_US |
dc.language.iso | en | en_US |
dc.subject | Optimization of wireless access networks | en_US |
dc.subject | 5G and LTE-Advanced | en_US |
dc.title | Energy-efficiency optimization of wireless access networks for 5G and LTE-Advanced. | en_US |
dc.type | Thesis | en_US |