A Joint Optimization Based Sub-band Expediency Scheduling Technique for MIMO Communication System
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A Joint Optimization Based Sub‑band Expediency Scheduling Technique for MIMO Communication System Nidhi Sindhwani1 · Manjit Singh2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In the recent days, the multiple input multiple output (MIMO) is considered as the important technology of wireless due to its characteristics. The channel selection and scheduling plays an important roles in MIMO communication systems. For this purpose, various techniques are proposed in the traditional works, but it has some major drawbacks such as increased bit error rate, inefficient channel selection, and reduced spectral efficiency. In order to overcome these issues, this paper aims to develop a new optimization based scheduling technique for a successful MIMO communication. At first, the Rayleigh fading channel is initialized and its parameters are extracted, then the beamforming technique is used to extract the features. After that, the optimal channel is selected from the available number of channels by implementing a joint optimization (JO) technique. Consequently, the power spectral density is estimated before scheduling the channel for communication. Finally, the sub-band expediency based scheduling (SES) technique is implemented for scheduling the channel based on the priority. The novel concept of this paper are, an optimal channel is selected based on the correlation coefficient value, and the priority based channel scheduling is performed for communication. The experimental results evaluate the performance of the proposed JO-SES technique based on the measures of BET, SNR, and average sum rate. Also, some of the existing techniques are considered in this work for proving the betterment of the proposed technique. Keywords Multiple input multiple output (MIMO) · Cellular network (CN) · Joint optimization (JO) · Sub-band expediency based scheduling (SES) · Channel allocation · Power spectral density (PSD)
* Nidhi Sindhwani [email protected] 1
Department of Electronics and Communication Engineering, Amity School of Engineering and Technology, Amity University, Noida, India
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Department of Electronics and Communication Engineering, Punjabi University, Patiala, India
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N. Sindhwani, M. Singh
1 Introduction Multiple input multiple output (MIMO) is one of the most widely used wireless technology that transfers the large amount of data at the same time by utilizing multiple transmitters and receivers [1]. It allows multiple antennas for sending and receiving more number of spatial streams at a time [2]. Moreover, it integrates the data streams from various paths by enabling the antennas to work smarter [3, 4]. This communication system has the capability to increase the channel’s throughput based on the increase in number of transmit and receive antennas. Also, it allows a variety of signals to carry the data and to select the separate path for each antenna. Figure 1 shows the block diagram of MIMO, which includes multiple transmitting antennas at sender side and
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