Performance Analysis and Direction of Arrival(DOA) Estimation of various Beamforming schemes for Quality Signal Reception in 5G Wireless Communication Systems
Research Square
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Fifth Generation (5G) wireless communication is an ecosystem of technological advancements involving a multitude of domains. These domains include Augmented Reality (AR), Internet of Things (IoT), Device-to-Device (D2D) Communication, Machine-to-Machine (M2M) Communication, Health IoT (H-IoT), Financial Technology (FinTech) etc. A multi-gigabit network architecture capable of offering data rates of the order of Gigabits per second (Gbps) is expected due to the enormous increase in the number of connected devices. 5G wireless communication systems are enough to accommodate the unavoidable explosion in user data traffic and area-wise connection densities. New and advanced signal processing techniques are used at both the transmitter and receiver sides to meet the growing data needs of the end-users without any outage. These techniques include precoding, zero forcing, Diversity, Beamforming, Relaying, Filtering, Combining, etc. In this paper, we studied and verified different beamforming techniques like Minimum Variance Distortionless Response (MVDR) Beamformer, Beamscan or Beam steering technique Multiple Signal Classification (MUSIC) algorithm, and Linearly Constrained Minimum Variance (LCMV) Beamformer. The diversity order of the antenna elements has also been taken care of and the Direction of Arrival (DOA) estimation of the incoming signals at the receiver’s end is carried out. Also, simulations are carried out to determine DOA estimation in presence of positional errors and multiple closely placed signal sources for the above-mentioned algorithms. While carrying out the simulation, we considered the two spatial geometries of the phased antenna array system viz-a-viz Uniform Linear Array (ULA) and Uniform Rectangular Array (URA). We also calculated the Bit Error Rate (BER) of the modulation schemes employed and visualized the effect of beamforming on BER at the receiver’s end.
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