ISSOR Signal Detection for Energy Efficient and Low Complexity Large Scale MIMO System
Seema M. Hanchate1, Shikha Nema2
1Seema M Hanchate, Department of Electronic & Communication, Usha Mittal Institute of Technology, SNDT University, Mumbai (Maharashtra), India.
2Shikha Nema, Department of Electronic & Communication, Usha Mittal Institute of Technology, SNDT University, Mumbai (Maharashtra), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 327-333 | Volume-9 Issue-1S5 December 2019 | Retrieval Number: A13811291S52019/19©BEIESP | DOI: 10.35940/ijeat.A1381.1291S52019
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Abstract: Scalable version of multiuser MIMO called Large-scale MIMO is a one of the powerful technology in future wireless communication systems in which huge amount of BS (base station) antennas utilized to process multiple user equipment. Energy consumed is high with more antennas and also it leads to increase the signal detection complexity and overall circuit power consumption. Designing energy efficient and low complexity MIMO system is considered as a challenging issue. This paper presents the ISSOR signal detection for energy efficient and low complexity large scale MIMO system. VA-GSM (Variable Antenna Generalized spatial modulation) is used in which the number of active antenna transmissions are varied for every transmission in the large scale MIMO. In transmitter side, Eigen value based approach is used for antenna selection. Then, improved symmetric successive over relaxation (ISSOR) approach is proposed for low complexity signal detection in receiver side. The number of user equipment, transmit power, as well as the amount of antennas at the base station, are considered as the optimal system parameters which are chosen for enhancing the efficiency of utilized energy in the system. The proposed scheme implemented in MATLAB software. The proposed scheme attained the high energy efficiency compared to other approaches. Moreover, the BER is utilized to estimate the performance of an offered algorithm and also compared to the previously determined algorithm of existing literatures.
Keywords: Signal Detection, Antenna Selection, Energy Efficiency, SOR, ISSOR.
Scope of the Article: Signal and Image Processing