Channel Estimation: Key Factor for LDM Based Local Content Delivery on SFNs

Montalbán, Jon; Iradier, Eneko; Angueira, Pablo; Park, Sung Ik; Kwon, Soon-Bark; Hur, Namho

doi:10.1109/bmsb.2018.8436729

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…1−δγ th during TxID detection is in outage. On the contrary, more ys are covered in the integration in (b) of (23) than (a) of (17). It also reveals that TxID detection failure event is more occurred with preamble detection failure in Scenario 2 than Scenario 1.…”

Section: −δγ Thmentioning

confidence: 95%

“…Therefore, the TxID failure events coming together with preamble mis-detection should be counted as well. We accordingly find the joint probability of TxID and preamble detection failures as (17) for Scenario 1, where (a) owes to the given inequality 3 π 2 M δ ≥ (1+δ)γ th 1−δγ th . In Scenario 1, we here find from (a) that preamble detection failure is strictly a subset of TxID failures, underlining that ToC is set to make preambles more robust than TxID signals.…”

Section: B Tdfp Analysismentioning

confidence: 99%

“…As TxID detections inform about time-domain channel signatures, it is able to improve a channel estimation accuracy by using the multipath-awareness. 1 For example, a windowing-based method in [17], [18] and a subspace projection-based approach extending the idea of [19] are possible. On the other hand, the use cases in other verticals have been noted as well.…”

Section: Introductionmentioning

confidence: 99%

“…c (ζ ) is a slack variable defined as c (ζ )γ th 1−δγ th − 3 π 2 M δ .Similarly, let γ th 1−δγ th − δ−6 denoted as c (ζ ). Recalling(17) in the proof of Theorem 3, the joint probability of TxID and preamble detection failures can be written by…”

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confidence: 99%

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Probabilistic Analysis on Successive Cancellation-Assisted Transmitter Identification in SFN With Randomly Distributed Co-Channel Interferers

et al. 2020

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This paper investigates the detection error of radio frequency (RF)-watermark type transmitter identification (TxID) signal in a single frequency network (SFN). Based on the Cramer-Rao bound (CRB) of TxID detection, closed-form failure probabilities for TxID detection are derived. In order to reflect the practical network condition, the interference from Poisson-distributed out-of-guard interval transmitters is accounted for TxID detection failure probability (TDFP). The proposed approach consequently examines the possible TDFP gain that can be obtained by applying successive preamble cancellation to the TxID detection. Numerical results reveal that the performance of the preamble cancellation-assisted technique is dependent on the threshold signal-to-interference noise ratio (SINR) for preamble signal detection. Nevertheless, the assistance of preamble cancellation is verified to guarantee more than 4 dB improvement of TxID detection capability under practical preamble signal configurations. INDEX TERMS Transmitter identification (TxID), successive interference cancellation (SIC), Poisson point process (PPP).

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Section: −δγ Thmentioning

confidence: 95%

Section: B Tdfp Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Probabilistic Analysis on Successive Cancellation-Assisted Transmitter Identification in SFN With Randomly Distributed Co-Channel Interferers

et al. 2020

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“…Important concepts in the LDM context were also investigated, such as, the error propagation in the cancellation stage [25], more effective channel estimators [26][27][28][29][30], more efficient video encoding techniques [31][32][33], the comparison between LDM and the traditional time-division multiplexing (TDM) or frequency-division multiplexing (FDM) [34], the use of NUCs to improve LDM performance [35], the application of the technique in satellite broadcast system [36], performance analysis using optimized demappers [37] and the use of Multiple-Input Multiple-Output (MIMO) schemes [38].…”

Section: Related Workmentioning

confidence: 99%

Implementation of a 3-layer LDM Broadcast System Backward-compatible with ISDB-TB

Rabaca¹,

Jerji²,

Akamine³

2021

RADIOENGINEERING

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This paper presents an implementation of a 3layer transmitter and receiver using Layer Division Multiplexing (LDM), in Software Defined Radio (SDR). The main idea of this work is to show another point of view of the traditional LDM technique that uses two layers. This proposal uses an attenuated intermediate layer, called Middle Layer (ML), between the highest power layer, called Upper Layer (UL), and the most attenuated layer, called Lower Layer (LL). The UL is fully compatible with the Integrated Services Digital Broadcasting Terrestrial -Version B (ISDB-T B ). The ML, with greater robustness, and LL, with higher capacity, use powerful channel coders, a custom frame size and an adapted bit interleaver. With the use of this modified LDM, it is possible to develop a system with different robustness levels between layers and with lower layers that complement each other, to achieve bit rates that allow for the deployment of High Definition Television (HDTV), in the UL, and Ultra High Definition Television (UHDTV), in the ML and LL. In addition, a system was also implemented with three layers, but with the ML with higher capacity and the LL with greater robustness. The performance of the 3-layer system was compared with the 2-layer LDM technique and there was an improvement in the system modularity, without a decrease in the bit rate.

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