Spatial modulation and space shift keying in single carrier communication

“…In [70], an optimal ML detector was proposed for SC-SM 667 especially for high CIR lengths L and for a large APM size 668 M SM . Hence, the low-complexity yet efficient MMSE-based 669 TEQ is the one that is commonly used.…”

mentioning

confidence: 99%

Single-Carrier SM-MIMO: A Promising Design for Broadband Large-Scale Antenna Systems

Yang

Xiao

Guan

et al. 2016

IEEE Commun. Surv. Tutorials

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217

103

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“…For example,x (0) can be the MMSE solution vectorx MMSE . Using the neighborhood definition in (13), it considers all the neighbors ofx (0) and searches for the best neighbor with least ML cost which also has a lesser ML cost than the current solution. If such a neighbor is found, then it declares this neighbor as the current solution.…”

Section: Lsd-sm Algorithmmentioning

confidence: 99%

“…The total power gain of the channel is assumed to be unity, i.e., L−1 l=0 Ω l = 1. Further, we use cyclic prefixed single carrier (CPSC) transmission at each user terminal [11], [12], [13].…”

Section: Sm-mimo In Frequency Selective Fadingmentioning

confidence: 99%

Large-scale multiuser SM-MIMO versus massive MIMO

Narasimhan

Raviteja

Chockalingam

2014

2014 Information Theory and Applications Workshop (ITA)

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Abstract-Spatial modulation (SM) is attractive for multiantenna wireless communications. SM uses multiple transmit antenna elements but only one transmit radio frequency (RF) chain. In SM, in addition to the information bits conveyed through conventional modulation symbols (e.g., QAM), the index of the active transmit antenna also conveys information bits. In this paper, we establish that SM has significant signal-to-noise (SNR) advantage over conventional modulation in large-scale multiuser (multiple-input multiple-output) MIMO systems. Our new contribution in this paper addresses the key issue of largedimension signal processing at the base station (BS) receiver (e.g., signal detection) in large-scale multiuser SM-MIMO systems, where each user is equipped with multiple transmit antennas (e.g., 2 or 4 antennas) but only one transmit RF chain, and the BS is equipped with tens to hundreds of (e.g., 128) receive antennas. Specifically, we propose two novel algorithms for detection of large-scale SM-MIMO signals at the BS; one is based on message passing and the other is based on local search. The proposed algorithms achieve very good performance and scale well. For the same spectral efficiency, multiuser SM-MIMO outperforms conventional multiuser MIMO (recently being referred to as massive MIMO) by several dBs. The SNR advantage of SM-MIMO over massive MIMO can be attributed to: (i) because of the spatial index bits, SM-MIMO can use a lower-order QAM alphabet compared to that in massive MIMO to achieve the same spectral efficiency, and (ii) for the same spectral efficiency and QAM size, massive MIMO will need more spatial streams per user which leads to increased spatial interference.

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“…In [18], the 72 SM scheme's TA activation concept was combined with frequency-73 shift keying modulation, which spreads the transmitted signal not 74 only across the spatial domain but across the frequency domain (FD) 75 as well. In [19], a cyclic prefix (CP)-based SC-MIMO scheme was 76 developed, which relied on exhaustive maximum likelihood (ML) 77 detection. In [20], zero padding (ZP)-aided SC-SM schemes based on 78 time domain (TD) ML equalization and reduced-complexity parallel-79 interference cancelation were proposed to achieve the maximum at-80 tainable transmit and receive diversity gains.…”

Section: Introductionmentioning

confidence: 99%