Cooperative communication in spatially modulated MIMO systems

Varshney, Neeraj; Goel, Amish; Jagannatham, Aditya K.

doi:10.1109/wcnc.2016.7564938

Cited by 11 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By using the Kronecker model, Hedayet et al shows that the identical correlated channels of space‐time coded MIMO systems may be modelled as eigenvalue‐weighted, uncorrelated channels for statistical analysis . This technique has previously been employed in the study of various other correlated MIMO systems such as space‐time trellis coded systems, super‐orthogonal space‐time trellis coded systems, generalised STBC systems, STBC spatial modulation systems, decode‐and‐forward based cooperative STBC spatial modulation system, linear dispersion coded systems, and diagonal‐algebraic space‐time coded systems . It is noted that other correlation models have been proposed in literature, such as the nonseparable correlation model .…”

Section: Introductionmentioning

confidence: 99%

Error performance of Uncoded Space Time Labelling Diversity in spatially correlated Nakagami‐q channels

Patel

Quazi

2018

Int J Communication

View full text Add to dashboard Cite

Summary Greater spectral efficiency has recently been achieved for Uncoded Space Time Labelling Diversity (USTLD) systems by increasing the number of antennas in the transmit antenna array. However, due to constrained physical space in hardware, the use of more antennas can lead to degradation in error performance due to correlation. Thus, this paper studies the effects of spatial correlation on the error performance of USTLD systems. The union bound approach, along with the Kronecker correlation model, is used to derive an analytical expression for the average bit error probability (ABEP) in the presence of Nakagami‐q fading. This expression is validated by the results of Monte Carlo simulations, which shows a tight fit in the high signal‐to‐noise ratio (SNR) region. The degradation in error performance due to transmit and receive antenna correlation is investigated independently. Results indicate that transmit antenna correlation in the USTLD systems investigated (3 × 3 8PSK, 2 × 4 16PSK, 2 × 4 16QAM, and 2 × 4 64QAM) causes a greater degradation in error performance than receive antenna correlation. It is also shown that 2 × 4 USTLD systems are more susceptible to correlation than comparable space‐time block coded systems for 8PSK, 16PSK, 16QAM, and 64QAM.

show abstract

Section: Introductionmentioning

confidence: 99%

Error performance of Uncoded Space Time Labelling Diversity in spatially correlated Nakagami‐q channels

Patel

Quazi

2018

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Selective decode forward is used to decode the signal. The signal at th q relay from the transmitter is written as [9], denotes the AWGN at the relay input.…”

Section: Sm-mimo Cooperative Communication System Modelmentioning

confidence: 99%

Pairwise Error Probability Performance of SM-MIMO and Spatially Modulated Cooperative Communication Employing SDF Protocol

Sachan¹,

Mishra²

2019

IJEAT

View full text Add to dashboard Cite

 Abstract: In this paper, we analyze the performance of spatially modulated (SM) multiple input multiple output (MIMO) system and spatially modulated MIMO cooperative system with multiple relays employing selective decode and forward (SDF) protocol. Here the analysis is done for pre-determined orthogonal channel for SM MIMO and SM MIMO cooperative system using M-PSK modulation and ML detection. Firstly Pairwise error probability (PEP) expression is derived and optimal, sub-optimal detection is done in a spatially modulated MIMO system. Further, the analysis of SDF spatially modulated MIMO cooperative system is extended to single relay and multiple relay configurations. PEP expression is also derived for SDF spatially modulated MIMO cooperative system. Simulation results for the SM MIMO system show optimal detection performs better than suboptimal detection and system performance improves as the number of antenna increases. The simulation results of PEP analysis in the SM MIMO cooperative system include the theoretical PEP, exact PEP and asymptotic PEP and Optimal power allocation (OPA) is also derived for the same. Optimal power allocation for theoretical PEP, exact PEP and asymptotic PEP outperforms the same at equal power allocation.Multi-Output (MIMO) technology is proposed by Spatial Modulation (SM), where spatial resources are exploited in different ways from primary MIMO techniques [4] - [7]. The transmitted SM information bits are divided into two streams: one stream is used to activate single or multiple antenna ( S M ), which is to transmit symbols mapped to another stream [8] - [13]. Spatial multiplexing gain and spatial diversity gain with low complexity consumption are offered by this technique, because at the transmitter a single or several radio frequency chains are needed [14], [15]. Throughout this paper, performance of cooperative MIMO space-time block coded (STBC) communication network with Single and various relays based on a selective decode-and-forward (DF) based technique is analyzed. We derived the closed form expression at the destination node of code block detection for the end to end PEP, while beginning with single relay based MIMO STBC system. The system with order of full diversity can be attained by cooperative MIMO (multi-input multi-output) STBC network [16], [17]. To reduce the unfavorable consequences of channel fading, power allocation (PA) techniques are proficient and BER is decreased and data rate is improved by this technique. In fact, in terms of spatial multiplexing systems PA has been widely studied [18], [19].In order to assist time-varying channels, it is more profitable for modifying the parameters of transmission, using SM with PA is a new MIMO technique. However, in SM-based schemes, only one transmitting antenna (TA) is active in each time slot, the PA approach may not be suitable for the SM system directly for spatial multiplexing based MIMO system. Following are the contributions of this paper: PEP analysis based on a spatially modulated MIMO system using ML det...

show abstract

“…Combining the advantages of both SM and STBC, the STBC‐SM scheme is introduced in [13]. Applying the idea of STBC‐SM to the cooperative systems is investigated in [14], where end‐to‐end pairwise error probability (PEP) analysis and optimal source–relay power allocation is presented.…”

Section: Introductionmentioning

confidence: 99%