Low-complexity recursive convolutional precoding for OFDM-based large-scale antenna systems | IEEE Conference Publication | IEEE Xplore

Low-complexity recursive convolutional precoding for OFDM-based large-scale antenna systems


Abstract:

Large-scale antenna (LSA) has gained a lot of attention recently since it can significantly improve the performance of wireless systems. Similar to multiple-input multipl...Show More

Abstract:

Large-scale antenna (LSA) has gained a lot of attention recently since it can significantly improve the performance of wireless systems. Similar to multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) or MIMO-OFDM, LSA can be also combined with OFDM to deal with frequency selectivity in wireless channels. However, such combination suffers from substantially increased complexity proportional to the number of antennas in LSA systems. In this paper, we propose a low-complexity recursive convolutional pre-coding to address the issues above. The traditional ZF precoding is implemented through the recursive convolutional precoding in the time domain so that only one IFFT is required for each user and the matrix inversion can be also avoided. Simulation results show that the proposed approach can achieve the same performance as that of ZF but with much lower complexity.
Date of Conference: 20-25 March 2016
Date Added to IEEE Xplore: 19 May 2016
ISBN Information:
Electronic ISSN: 2379-190X
Conference Location: Shanghai, China

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