Novel Codebook-based MC-CDMA with Compressive Sensing Multiuser Detection for Sporadic mMTC
Mehmood Alam, Qi Zhang

TL;DR
This paper introduces a codebook-based MC-CDMA scheme combined with compressive sensing for efficient multiuser detection in sporadic mMTC, improving spectral efficiency and reducing power consumption with notable performance gains.
Contribution
It proposes a novel direct symbol-to-sequence spreading method integrated with compressive sensing for multiuser detection in mMTC, enhancing spectral efficiency and power savings.
Findings
Achieves 1 dB SNR gain at BER of 10^-5 for 8-ary modulation.
Reduces required SNR for higher modulation orders compared to conventional schemes.
Demonstrates effectiveness of compressive sensing in sparse multiuser detection.
Abstract
Massive machine type communication (mMTC) is one of the basic components of the future fifth generation (5G) wireless communication system. In mMTC, the information processing at the sensor nodes is required to be simple, low power consuming and spectral efficient. In order to increase the spectral efficiency at the cost of minimum performance loss and to simplify the information processing at the sensor node, in this paper a codebook based spreading technique is proposed. In the proposed scheme, first, the modulation and spreading are combined into a direct symbol-to-sequence spreader, which directly maps the input bits into a codeword from the user specific codebook. Secondly, utilizing the sporadic node activity of the mMTC a compressive sensing based algorithm is designed for multiuser activity and data detection. Exploiting the multidimensional structure of the codebook, the…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Communication Networks Research · Advanced MIMO Systems Optimization
