Adaptive Modulation and Superposition Coding for MIMO Data Transmission Using Unequal Error Protection and Ordered Successive Interference Cancellation Techniques

Saad, Wasan Kadhim and Jabbar, Waheb A. and Hamza, Bashar J. (2019) Adaptive Modulation and Superposition Coding for MIMO Data Transmission Using Unequal Error Protection and Ordered Successive Interference Cancellation Techniques. Journal of Communications, 14 (8). pp. 696-705. ISSN 1796-2021. (Published)

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Abstract

This paper proposes and discusses an efficient multiple input multiple output (MIMO) system for adaptive modulation coding (AMC) based on unequal error protection (UEP) and superposition coding (SPC) by exploiting the features of sub channel partitioning. Using AMC, an appropriate order of modulation and code rate to suit the channel state information (CSI) can be selected. The realization of UEP is achieved through adaptive allocation and transmission of high and low-priority data signals over high and low quality sub channels respectively. A multistage decoding (MSD) receiver with the ordered successive interference cancellation (OSIC) technique is employed in the receiver by using two linear receiver signal combiner (RSC) techniques: zero-forcing (ZF) and minimum mean square error (MMSE). The data priority can be distinguished by the signal-to-noise ratio (SNR) and can be categorized as mode-B and mode-G. The simulation results show that the SNR performance enhancement for the UEP- MIMO scheme is approximately 9.4 dB compared to the others schemes. In addition, for the UEP-MIMO scheme, the overall data system transmission from mode-B outperforms that of mode-G with SNR gains of 8.2 dB compared to the 7.5 dB for the UEP-SISO scheme. Also, MMSE-SPC also outperforms the ZF-SPC with a 3 dB SNR at a bit error rate (BER) of 10-3.

Item Type: Article
Uncontrolled Keywords: Adaptive modulation and coding (AMC), multiple-input multiple-output (MIMO) channel, superposition coding (SPC), unequal error protection (UEP), spatial multiplexing (SM), zero-forcing (ZF) and minimum mean square error (MMSE).
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Engineering Technology
Depositing User: Noorul Farina Arifin
Date Deposited: 07 Aug 2019 03:53
Last Modified: 07 Aug 2019 03:53
URI: http://umpir.ump.edu.my/id/eprint/25613
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