Differential Spatial Modulation With Gray Coded Antenna Activation Order

Li, Jun; Wen, Miaowen; Cheng, Xiang; Yan, Yier; Song, Sang Seob; Lee, Moon Ho

doi:10.1109/lcomm.2016.2557801

Cited by 43 publications

(13 citation statements)

References 10 publications

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“…The AM permutations may be derived using the permutation method given in [6], which yields a one-to-one mapping between the AM index, q, and the AM permutation in lexicographical order [6]. In [10], a Gray coded one-to-one mapping between the AM index and the AM permutation is proposed which may yield improved error performance as compared to the lexicographical order given in [6] when N t > 3. However, for simplicity, we will use the lexicographical AM order described in [6].…”

Section: Differential Smmentioning

confidence: 99%

Generalised differential scheme for spatial modulation systems

Kadathlal

Pillay

2017

IET Communications

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Section: Differential Smmentioning

confidence: 99%

Generalised differential scheme for spatial modulation systems

Kadathlal

Pillay

2017

IET Communications

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“…ML detectors are employed for all the GIM systems. The main difference between our proposed GIM e = 0, ρ t = ρ r = 0 and σ 2 e = 1/(10 SN R/10 ), ρ t = ρ r = 0 are calculated via (6) using (13) or (42), while that of Rayleigh fading channel with σ 2 e = 0, ρ t = ρ r = 0.6 is calculated via via (6) using (13) and (56). The ABEP upper bound of Rician channel is calculated via (6) using (49) and (13), while that of Nakagami-m channel is obtained via (6) using (45) and (13).…”

Section: Simulation Resultsmentioning

confidence: 99%

Graph Theory Assisted Bit-to-Index-Combination Gray Coding for Generalized Index Modulation

Xiao

Chen

Hemadeh

et al. 2020

IEEE Trans. Wireless Commun.

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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 distance (HD) between any two ICs having one different value. Specifically, we decompose and transform the optimization problem into two subproblems using the graph theory, i.e., 1) Select an IC set whose corresponding graph has the minimum degree; 2) Design a bit-to-IC mapping principle to minimize the weight of the selected graph. Lowcomplexity algorithms are developed to solve the subproblems with a significant reduced complexity. Both simulation and theoretical results are shown that the GIM systems with our proposed mapping table are capable of providing significant performance gains over the conventional counterparts without the need for any additional feedback-link and without extra computational complexity. It is also shown that the proposed bit-to-IC mapping table is straightforward for any GIM systems over generalized fading channels.

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“…Relying on expanding index bits into the in-phase/quadrature domain, quadrature SM (QSM) was proposed to achieve the doubled length of index bits than SM in [32] and [33]. Moreover, the SM/SSK scheme was extended to the space-time domain to improve its BER performance, e.g, space-time shift keying (STSK) in [34], space-time block coded SM (STBC-SM) in [35], [36], and differential SM (DSM) in [37], [38]. It should be noted that all above SM related works only utilize the index(ices) of transmit antennas.…”

Section: Introductionmentioning

confidence: 99%

Generalized Quadrature Spatial Modulation and its Application to Vehicular Networks With NOMA

Dang

Yan

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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Quadrature spatial modulation (QSM) is recently proposed to increase the spectral efficiency (SE) of SM, which extends the transmitted symbols into in-phase and quadrature domains. In this paper, we propose a generalized QSM (GQSM) scheme to further increase the SE of QSM by activating more than one transmit antenna in in-phase or quadrature domain. A low-complexity detection scheme for GQSM is provided to mitigate the detection burden of the optimal maximum-likelihood (ML) detection method. An upper bounded bit error rate is analyzed to discover the system performance of GQSM. Moreover, by collaborating with the non-orthogonal multiple access (NOMA) technique, we investigate the practical application of GQSM to cooperative vehicular networks and propose the cooperative GQSM with OMA (C-OMA-GQSM) and cooperative GQSM with NOMA (C-NOMA-GQSM) schemes. Computer simulation results verify the reliability of the proposed low-complexity detection as well as the theoretical analysis, and show that GQSM outperforms QSM in the entire SNR region. The superior BER performance of the proposed C-NOMA-GQSM scheme make it a promising modulation candidate for next generation vehicular networks.

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Differential Spatial Modulation With Gray Coded Antenna Activation Order

Cited by 43 publications

References 10 publications

Generalised differential scheme for spatial modulation systems

Generalised differential scheme for spatial modulation systems

Graph Theory Assisted Bit-to-Index-Combination Gray Coding for Generalized Index Modulation

Generalized Quadrature Spatial Modulation and its Application to Vehicular Networks With NOMA

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