INTERNATIONAL JOURNAL OF ELECTRONICS & COMMUNICATION TECHNOLOGY (IJECT)
Vol 10 Issue 2 (April – June 2019)
International Journal of Electronics & Communication Technology Vol 10 Issue 2 (April – June 2019)
|S.No.||Research Topic||Paper ID|
|01||Adaptive Beamforming Algorithms for Mimo Radar and Phased Array Antennas for Future Generation Wireless Communications
L. Surendra, B.Uday Krishna Kanth, Ch.Ruth Suhasini, T.Yamini, G.Durga Bhavani
Next generation wireless communications like 5G and beyond 5G networks for high-speed data transfer rates required with reduced side-lobe levels are indeed required to meet the demands of future wireless communications Many wireless communication and radar signals are frequency or phase modulated signals Some examples of phase and frequency modulated signals are Frequency Modulation (FM), Phase Shift Keying (PSK), Frequency Shift Keying (FSK), Quadrature Amplitude Modulation (QAM) Advanced and sophisticated communication system requires an SLL which is significantly lesser than the main lobe peak This can be achieved by considering CMA and LS-CMA based on CMA These are efficient blind adaptive beamforming algorithms are implemented by using MATLAB.
|02||Massive MIMO Performance over D-GOB, H-SUB Beamforming Algorithms
Surendra Loya, Hari Praneet Sreenivasula, Harshni Vajrala, Kavya Krishnavarapu, Rupa Sri Volupu
Massive MIMO is to equip at base stations in wireless networks with large arrays of phase coherently co-operating antennas. The use of such arrays facilities spatial multiplexing of many User Equipment’s (UE’s) in the same time frequency resource and yields a coherent beamforming gain that translates directly in to reduced interference and improved cell edge coverage. Downlink beamforming in Massive MIMO either relies on Uplink pilot measurements the use of predetermined grid of beams with user equipment’s reporting their preferred beams mostly in frequency division duplexing operation. In this paper we observed the performance of various feedback based CSI beamforming algorithms based on MATLAB.