Spectral efficient antenna selection beamforming and power allocation for 5g wireless communication systems

Abstract

The revolution in wireless communication in each decade proposes a new standard for wireless technology, which is motivated by the demand for more data traffic and advances in the technology. At present, the fifth generation (5G) wireless communication system is being developed, which is heading for commercial deployment around 2020. The principle design aims of 5G systems are higher system capacity in Gigabits and reducing the system power consumption. To attain the 5G targets in achieving higher orders of magnitude increase in system capacity, the communication theory advocates the following three approaches: (i) higher spectral efficiency, (ii) small cell networks (SCNs) and (iii) new huge bandwidth spectrum -millimeter wave (mmWave) communication. The former, spectral efficiency increase can be attained by using massive multiple-input multiple-output (Ma-MIMO) by using huge number of antennas in terms of 100 and more. The second SCN is used in network densification which is used to boost the network capacity. The latter, new huge bandwidth spectrum is obtained by migrating to higher frequencies which will release huge bandwidth. To achieve high spectral efficiency with low power consumption is a crucial factor in the 5G wireless systems. This thesis addresses the solution to improve the trade-off between higher data rates and power consumption with the focus on Ma-MIMO, SCN and mmWave. Ma-MIMO plays a vital role in achieving higher data rates due to large number of antennas and its beamforming gain to achieve exceptional throughputs. The presence of large number of antennas in Ma-MIMO eventually requires more number of radio frequency chains, which leads to increased power consumption and hardware complexity. However, the possibility to select antennas from a large number of antennas opens the feasibility to reduce the power consumption at the base station. Thus, the scheme proposed in this thesis achieves the optimal performance with reduced number of radio frequency chains. The analytical and numerical results illustrate that the proposed scheme is capable to improve the achievable rate with reduced power consumption in order to implement it in the 5G systems newline