Energy-efficiency optimization of wireless access networks for 5G and LTE-Advanced.

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