Universal Journal of Electrical and Electronic Engineering 7(3): 219-226, 2020 http://www.hrpub.org DOI: 10.13189/ujeee.2020.070306 Transmit Antenna Selection Strategies for SC- FDMA- IDMA Massive MIMO Systems Roopali Agarwal * , M. Shukla Department of Electronics Engineering, Harcourt Butler Technical University, Kanpur, India Received March 17, 2020; Revised April 13, 2020; Accepted April 27, 2020 Copyright©2020 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract The 5 G wireless offers many advancements over the prevalent 4 G LTE communication networks, such as enhanced data transmission rates (in order of Gbps), Substantially reduced latency, many times increase in the Base Station Capacity and praiseworthy betterments in the QoS offered to the users. IDMA has already proven its potential in 5 G and it can be easily integrated in to massive MIMO systems. The ideology behind the concept of Massive MIMO is to match the requirement for efficient usage of spectrum, and is implemented using several numbers of antennas at the Base Station, catering to a number of subscribers concurrently using same band of the given frequency. However, the cost and complexity of implementation of such large-scale antenna systems is quite high. Thus for reduction in the number of radio frequency chains, the technique of Transmit Antenna Selection is used. In this paper, we propose two transmit antenna selection strategies considered for individual user or overall users based on selection criteria maximum sum rate or minimum bit error performance considering for (MIMO) multiuser multiple input and multiple output single carrier frequency division multiple access based interleave division multiple access wireless system (MIMO-SCFDMA-IDMA). We have taken this scheme for the uplink communication and selection of the subcarrier is through the bulk selection. The performance may get degraded in case of heavy load of multiple subcarriers attached to one antenna, which will in turn call for the role of power amplifier and thus efficiency of the system may go down. Therefore, here we prefer bulk subcarrier selection instead of per subcarrier selection. It is shown in this paper that enhanced sum rate can be achieved as more users are allowed to transmit concurrently, and thus multiuser gain is achieved. We also demonstrated the comparison with simulation result of sum rate performance and Bit error rate performance of varying users. Result shows that antenna selection based on overall system is better than the antenna selection considering each user. Keywords Antenna Selection, Large MIMO, SC-FDMA, IDMA, MMSE Detection, Interleaver 1. Introduction Multiple input multiple output (MIMO) systems are necessary part of various wireless standards such as 4G, WiMax, 802.11n, HSPA+.MIMO is that the technique to transfer the information independently from over one antenna at the same time, and at receiver end information is received by one or more antenna, without additional bandwidth or transmit power, better performance and higher data rates can be obtained in MIMO system, but the eminent problem of MIMO systems arises due to the increase in complexness and cost induced by RF chain [1]. Antenna selection is a robust technique for providing low complexity to the system and aggrandizing the performance. Low complexity with low cost of the system is brought about by reducing the number of RF chains in spite of using complete RF chains. As compared to the OFDMA techniques, the peak to average power ratio is less in the SC-FDMA scheme, and due to this quality, it finds its suitability in the third generation partnership project (3GPP) long-term evolution (LTE) and in the Fifth generation uplink communications also. In communication systems, the noise and distortion of the signal due to the impairment in the channel may cause burst errors were not only discrete bits become in error but also a consequent group of bits. To combat such type of errors, the interleaveres are introduced in the system where the bits are reordered at the transmitter to spread the burst error when it occurs and converting them from burst error to discrete errors. At the receiver end, the interleaved information is organized back to the initial sequence with