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Abstract
In this paper, we present the MU (multi-user) MIMO (multiple-input & multiple-output) system which is capable to serve the maximum number of users without additional bandwidth or power budget. MIMO systems maximize the channel capability as per the DPC scheme (Dirty Paper Coding). According to DPC, several antennas distributed over the base station are used for serving multiple users simultaneously. Nevertheless, DPC is a comprehensive search algorithm employing sequences of encoded user data for transmitting information to multiple users. Due to increased user density and subsequent transmit antennas in the MU-MIMO system, the exhaustive search (i.e. DPC) becomes cumbersome with the expanded search space domain. This search task would not be completed within a coherence time frame of the packet data communication system. The required objective is to consider this as a cost function for optimization to maximize the realizable sum-rate (throughput) of the MU-MIMO systems. This paper illuminates the joint antenna and user scheduling (JAAU) process with binary artificial bee colony (binary ABC) accomplishing nearly 98–99% of system throughput with the suggestively decreased figure in computation complexity and run time. Binary ABC is observed to have the global optimum value swiftly within the stipulated packet time frame of next-generation wireless data communications. Moreover, binary ABC achieves an appreciable system capacity for MU-MIMO systems as compared with DPC (which attains the maximum system throughput with the highest complexity). These findings are corroborated with exhaustive simulation results presented in this article.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Jyoti Mohanty
Jyoti Mohanty completed his BTech in electronics and communication engineering from DRIEMS, Cuttack, Odisha in 2007. He also has his MTech in electronics and communication engineering from ITER, Siksha O Anusandhan (deemed to be University), Bhubaneswar, Odisha passes on 2011. He is currently pursuing his PhD degree in electronics and communication engineering from NIT Silchr, Assam. His varied research interest mostly focuses around wireless communication, soft computing and advances in MIMO technology. Email: [email protected]
Prabina Pattanayak
Prabina Pattanayak completed his PhD degree from IIT Patna, India, in 2017. He has served as lead engineer at HCL Technologies Ltd, after completing his BTech from BPUT, Rourkela. He has been working as an assistant professor in the Department of Electronics and Communication Engineering at NIT Silchar, India since 2018. His current research interests include massive MIMO, multiuser MIMO communications, soft computing techniques, NOMA, smart grid communication systems and cross-layer scheduling. He is a fellow of IETE India and a senior member of IEEE.
Arnab Nandi
Arnab Nandi is an assistant professor in the Dept of Electronics and Communication Engineering (ECE), National Institute of Technology, Silchar, since December 2015. He worked as an assistant professor in the Dept of ECE at NIT Arunachal Pradesh & NIT Meghalaya. He published more than 50 research articles in international conferences & journals. He has authored two book chapters and four books. His research interests are in signal processing, antenna design,wireless sensor networks (WSNs), wireless networks, RF MEMS design, optimization of WSNs and machine learning. Email: [email protected]
Vinay K. Trivedi
Vinay Kumar Trivedi received PhD and BE degree from IIT Patna and BIT Mesra, India in 2020 and 2013, respectively. Currently, he is serving as an assistant professor in Electronics and Communication Engineering Department at Thapar Institute of Engineering and Technology, Patiala. He published several papers in reputed journals and presented his research work at flagship IEEE conferences in India and abroad. His current research interests include improved OFDM for next-generation mobile wireless communication, NOMA, fractional fourier domain equalization, and underwater acoustic communication. Email: [email protected]
Fazal A. Talukdar
Fazal A Talukdar received BE in electrical engineering from the REC Silchar in 1987, MTech in energy studies from IIT Delhi, in 1993, and PhD in power electronics from Jadavpur University India, in 2003. He has been with NIT Silchar, since 1991, where he is currently a professor (HAG) with the Department of Electronics and Communication Engineering. He is a fellow of the Institution of Engineers, India, Senior Member of IEEE, and a Life Member of the Indian Society for Technical Education. His current research interests include power electronics, signal processing, wireless communications, and analog circuits. Email: [email protected]