2012
DOI: 10.1109/lcomm.2012.031212.112648
|View full text |Cite
|
Sign up to set email alerts
|

Full-Diversity Space-Time-Frequency Coding with Very Low Complexity for the ML Decoder

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
12
0

Year Published

2012
2012
2020
2020

Publication Types

Select...
5
1

Relationship

4
2

Authors

Journals

citations
Cited by 9 publications
(12 citation statements)
references
References 8 publications
0
12
0
Order By: Relevance
“…Therefore, if DPPs are known to the transmitter, we can find γ SD so as to maximise the CA of the P‐QOSFBCs. On the other hand, if DPPs are unknown to the transmitter, we optimise the CA of the P‐QOSFBC based on the artificial DPPs (ADPPs) that we have introduced in [5]. In short, we could formulate the problem of finding the optimum positive integer γSDOP to maximise the CA of the P‐QOSFBCs as γSDOP=argmax1<γSD<⌋⌊trueNΓdet)()(bold1Lbold-italicI2bold-italicRnormalFPQOSF It is worthwhile to mention that clearly the optimisation process is the calculation of (((⌊ N /Γ⌋)/2) − 2) determinants of matrices of size Γ M t × Γ M t , which imposes a very low computational complexity on the transmitter compared with the typical optimisation processes.…”
Section: Proposed Modified Qosfbcsmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, if DPPs are known to the transmitter, we can find γ SD so as to maximise the CA of the P‐QOSFBCs. On the other hand, if DPPs are unknown to the transmitter, we optimise the CA of the P‐QOSFBC based on the artificial DPPs (ADPPs) that we have introduced in [5]. In short, we could formulate the problem of finding the optimum positive integer γSDOP to maximise the CA of the P‐QOSFBCs as γSDOP=argmax1<γSD<⌋⌊trueNΓdet)()(bold1Lbold-italicI2bold-italicRnormalFPQOSF It is worthwhile to mention that clearly the optimisation process is the calculation of (((⌊ N /Γ⌋)/2) − 2) determinants of matrices of size Γ M t × Γ M t , which imposes a very low computational complexity on the transmitter compared with the typical optimisation processes.…”
Section: Proposed Modified Qosfbcsmentioning
confidence: 99%
“…Several space–frequency block codes (SFBC) have been proposed as an efficient method for implementing MIMO‐OFDM systems, see [2–5] and references therein. Quasi‐orthogonal SFBCs (QOSFBCs) are one of the most prosperous proposed SFBCs in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…When the DPPs are accessible, simply the matrix R can be constructed and then using (32), γSDOP can be calculated. If there are no prior knowledge of the DPPs at the transmitter, the artificial DPPs (ADPPs) proposed in [14] are used to construct the correlation matrix and then calculating γSDOP by (32). In the next section, we presented simulation results for both scenarios.…”
Section: Sfbcs Improvement Based On the Cadimentioning
confidence: 99%
“…The design criteria for STFBCs are discussed in [7–9]. STFBCs and SFBCs proposed in [10–14] are just some examples of research study currently being pursued in this area. In [12], linear transform based full‐diversity SFBCs and STFBCs are proposed which feature the best performance to the best of our knowledge.…”
Section: Introductionmentioning
confidence: 99%
“…In [9] and [10], authors presented a new class of full-diversity STFBCs and SFBCs based on the generalized block-diagonal quasi-orthogonal space-time block codes. In [11], STFBCs are proposed which feature a very simple decoder complexity for the maximum likelihood (ML) receiver.…”
mentioning
confidence: 99%