2020
DOI: 10.1109/twc.2020.3020692
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Graph Theory Assisted Bit-to-Index-Combination Gray Coding for Generalized Index Modulation

Abstract: Generalized index modulation (GIM) which implicitly conveys information by the activated indices is a promising technique for next-generation wireless networks. Due to the prohibitive challenge of bit-to-index combination (IC) mapping optimization, conventional GIM system obtains the bit-to-IC mapping table randomly, which may suffer from some performance loss. To circumvent this issue, we propose a low-complexity graph theory assisted bit-to-IC gray coding for GIM systems by minimizing the average hamming dis… Show more

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Cited by 16 publications
(4 citation statements)
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“…Furthermore, we consider the impact of channel estimation error (CSE). At the receiver, the estimated channel matrix taking into consideration the CSE is given by [39]- [41]…”
Section: Practical Channel Modelmentioning
confidence: 99%
“…Furthermore, we consider the impact of channel estimation error (CSE). At the receiver, the estimated channel matrix taking into consideration the CSE is given by [39]- [41]…”
Section: Practical Channel Modelmentioning
confidence: 99%
“…In this section, the ABEP of UM-MIMO with imperfect CSI is derived based on some theoretical results of [43]. Specifically, assuming that ∆=x i − x j , B=(I Nr ⊗ ∆∆ H ),…”
Section: Abep Of Um-mimo With Imper-fect Csimentioning
confidence: 99%
“…In this section, a unified bit-to-symbol mapping algorithm is designed for generalized constellation modulation based on the mapping concept [10]. Each nonzero element of P 1 of Eq.…”
Section: Proposed Bit-to-symbol Map-ping Algorithmmentioning
confidence: 99%