Abstract:
In future wireless networks, there is an increasing demand of high quality of service,
high data rates, network coverage and low latency. However, the existing network is
limited in capacity to address the requirements of the data rate in the order of gigabits.
Massive MIMO and small cells are the foremost technologies to address such challenges for the next generation (5G) wireless systems. Massive MIMO is a technique that
deploying a large number of antennas at the base station, and thus, improving energy
efficiency and spectral efficiency of wireless networks. Small cell provides high data rate
and good coverage with reduced transmit power by reducing the distance between base
station and user. Since, the number of users are increasing, which give a rise to a lot of
problems like increased interference, complexity and power consumption in the processing
and transmission.
This can be analyzed to enhance the data rate and EE by combining massive MIMO
base station and small cell base stations with higher spatial reuse. To provide resource
aware energy saving technique with a low complexity algorithm based on classical regularized zero force (RZF) beamforming is used and compared with optimal solution cases.
The simulation result is conducted to prove that, the total power consumption can
be greatly improved more than 1.2 % by combining massive MIMO and small cells, this
is possible with both optimal beamforming and low-complexity beamforming.
Based on the result obtained, it is better to use the heterogeneous system of massive
MIMO macro cell with low power complementary small cells can achieve a greater EE
(EE) than massive MIMO macro cell alone.
