In molecular communication via diffusion (MCvD), information is conveyed by diffusing molecules. MCvD enjoys high energy efficiency but suffers from low date rates due to the long tail of the channel impulse response. To this end, the multiple-input multiple-output (MIMO) technique has been introduced to MCvD. However, the inter-symbol interference (ISI) and inter-link interference (ILI) deteriorate the bit error rate (BER) performance of MIMO MCvD systems. In this paper, a novel molecular modulation scheme, called molecular type permutation shift keying in the spatio-temporal domain, is proposed for MIMO MCvD systems to improve the BER performance by combating ILI and ISI. A low-complexity detector without requiring channel impulse response information is proposed. Furthermore, a complementary coding scheme that can effectively reduce ILI is designed. Additionally, the BER upper bound is analyzed. Numerical simulations on BER corroborate the analysis and show that the proposed scheme is a promising multi-molecule modulation alternative, which outperforms the existing MIMO MCvD modulation schemes.
|Title of host publication||2021 IEEE Wireless Communications and Networking Conference, WCNC 2021|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2021|
|Event||2021 IEEE Wireless Communications and Networking Conference, WCNC 2021 - Nanjing, China|
Duration: 2021 Mar 29 → 2021 Apr 1
|Name||IEEE Wireless Communications and Networking Conference, WCNC|
|Conference||2021 IEEE Wireless Communications and Networking Conference, WCNC 2021|
|Period||21/3/29 → 21/4/1|
Bibliographical noteFunding Information:
The work was supported in part by the National Natural Science Foundation of China under Grant 61871190, in part by the Natural Science Foundation of Guangdong Province under Grant 2018B030306005, in part by the Pearl River Nova Program of Guangzhou under Grant 201806010171, in part by the open research fund of the National Mobile Communications Research Laboratory, Southeast University under Grant 2020D03, and in part by the Fundamental Research Funds for the Central Universities under Grant 2019SJ02.
© 2021 IEEE.
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