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 Broadcasting, IEEE Transactions on   [SJR: 1.114]   [H-I: 62]   [10 followers]  Follow         Hybrid journal (It can contain Open Access articles)    ISSN (Print) 0018-9316    Published by IEEE  [191 journals]
• Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• IEEE Transactions on Broadcasting information for authors
• Abstract: These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Intercarrier Interference-Aware Pilot-Aided Channel Estimation in OFDM
Systems
• Authors: Mohammed Almoneer;Christian Rohde;Khaled Hassan;Wolfgang H. Gerstacker;
Pages: 449 - 462
Abstract: Linear pilot-aided channel estimation in orthogonal-frequency division multiplexing systems is carried out optimally via 2D Wiener filters. The standard approach employed in conventional receivers is based on cascaded $2\times 1\text{D}$ Wiener filtering. In doing so, suboptimal performance is tolerated for the sake of lower complexity. By means of the 2D+1D filtering scheme proposed in this paper, the performance of cascaded filtering is enhanced while maintaining the low complexity of the $2\times 1\text{D}$ approach. A theoretical analysis of different cascaded Wiener filtering approaches is provided, and the approaches are compared. Furthermore, the effect of Doppler-induced intercarrier interference (ICI) is taken into account for the calculation of the mean-squared error (MSE) of the different channel estimation schemes. Additionally, practical real-time adaptive versions of these schemes are demonstrated. Results from full link-level simulations with respect to the digital video broadcasting standard for satellite services to handheld devices are presented. The proposed 2D+1D filtering scheme shows enhanced MSE and bit error rate performance than both conventional $2\times 1\text{D}$ scheme and more advanced ICI cancellation schemes, since it provides more accurate channel estimates in high Doppler spread conditions.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Classification of Error Correcting Codes and Estimation of Interleaver
Parameters in a Noisy Transmission Environment
• Authors: R. Swaminathan;A. S. Madhukumar;
Pages: 463 - 478
Abstract: Channel encoder, which includes a forward error correcting (FEC) code followed by an interleaver, plays a vital role in improving the error performance of digital storage and communication systems. In most of the applications, the FEC code and interleaver parameters are known at the receiver to decode and de-interleave the information bits, respectively. But the blind/semi-blind estimation of code and interleaver parameters at the receiver will provide additional advantages in applications, such as adaptive modulation and coding, cognitive radio, non-cooperative systems, etc. The algorithms for the blind estimation of code parameters at the receiver had previously been proposed and investigated for known FEC codes. In this paper, we propose algorithms for the joint recognition of the type of FEC codes and interleaver parameters without knowing any information about the channel encoder. The proposed algorithm classify the incoming data symbols among block coded, convolutional coded, and uncoded symbols. Further, we suggest analytical and histogram approaches for setting the threshold value to perform code classification and parameter estimation. It is observed from the simulation results that the code classification and interleaver parameter estimation are performed successfully over erroneous channel conditions. The proposed histogram approach is more robust against the analytical approach for noisy transmission environment and system latency is one of the important challenges for the histogram approach to achieve better performance.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Application-Layer FEC Scheme Configuration Optimization via Hybrid
Simulated Annealing
• Authors: César Díaz;Julián Cabrera;Fernando Jaureguizar;Narciso García;
Pages: 479 - 493
Abstract: An optimization technique based on an adapted combination of simulated annealing (SA) and tabu search (TS) is presented. This method aims at finding near-optimal unequal error protection (UEP) application-layer FEC code configurations. This approach is intended to smartly protect audio and video transmission over IP networks when hard time restrictions apply. The considered code is a UEP version of the widely-used Pro-MPEG COP3 codes enabling the use of several matrices of dissimilar size and thus of unequal recovery capability. Finding the optimal configuration frequently requires the evaluation of a large solution space. So, to fulfill the imposed constraints, SA is adapted to the specifics of the scenario. In particular, the annealing schedule is conditioned by the real-time restrictions. Furthermore, solution neighborhood structures are determined by a proposed definition of distance between protection configurations, which, jointly with TS, conditions the selection of candidate solutions. Experimental results show a significantly improved performance of the optimization process, which invariably fulfills imposed timing constraints, at the expense of a very low distortion increase, when compared to using exhaustive search. These results allow the use of UEP Pro-MPEG COP3 codes for protecting video and audio transmission, which distinctly outperforms the standard code in a wide range of scenarios.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Channel Pre-Inversion and Max-SINR Vector Perturbation for Large-Scale
• Authors: David A. Karpuk;Peter Moss;
Pages: 494 - 506
Abstract: We study channel pre-inversion and vector perturbation (VP) schemes for large-scale broadcast channels, wherein a transmitter has ${M}$ transmit antennas and is transmitting to ${K}$ single-antenna non-cooperating receivers. We provide results which predict the capacity of MMSE pre-inversion as $\boldsymbol {K\rightarrow \infty }$ . We construct a new VP strategy, max-SINR VP (MSVP), which maximizes a sharp estimate of the signal-to-interference-plus-noise ratio. We provide results which predict the performance of MSVP and demonstrate that MSVP outperforms other VP methods. Lastly, we combine MSVP with the low-complexity sorted QR precoding method to show that MSVP has the potential to efficiently deliver data to a very large number of users at close to channel capacity.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Towards the Perceptual Quality Evaluation of Compressed Light Field Images
• Authors: Pradip Paudyal;Federica Battisti;Mårten Sjöström;Roger Olsson;Marco Carli;
Pages: 507 - 522
Abstract: Evaluation of perceived quality of light field images, as well as testing new processing tools, or even assessing the effectiveness of objective quality metrics, relies on the availability of test dataset and corresponding quality ratings. This paper presents SMART light field image quality dataset. The dataset consists of source images (raw data without optical corrections), compressed images, and annotated subjective quality scores. Furthermore, analysis of perceptual effects of compression on SMART dataset is presented. Next, the impact of image content on the perceived quality is studied with the help of image quality attributes. Finally, the performances of 2-D image quality metrics when applied to light field images are analyzed.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• QoE-Driven Dynamic Adaptive Video Streaming Strategy With Future
Information
• Authors: Li Yu;Tammam Tillo;Jimin Xiao;
Pages: 523 - 534
Abstract: DASH, the Dynamic adaptive video streaming over hypertext transfer protocol (HTTP), has become the de-facto video delivery mechanism nowadays, which takes advantage of the existing low cost and wide-spread HTTP platforms. Standards like MPEG-DASH defines the bitstreams conformance and decoding process, while leaving the bitrate adaptive algorithm open for research. So far, most DASH researches focus on the constant bitrate video delivery. In this paper, various bitrate (VBR) video delivery is investigated in the on-demand streaming scenario. Detailed instant bitrates of future segments are exploited in the proposed adaptation method to grasp the fluctuation traits of the VBR video. Meanwhile, the adaptation problem is formulated as an optimization process with the proposed internal QoE goal function, which keeps a good balance between various requirements. Besides, the parameters within the internal QoE function can be tuned to guarantee the flexibility of meeting different preferences. The experimental results demonstrate that our proposed QoE-based video adaptation method outperforms the state-of-the-art method with a good margin.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Adaptive Inter CU Depth Decision for HEVC Using Optimal Selection Model
and Encoding Parameters
• Authors: Yue Li;Gaobo Yang;Yapei Zhu;Xiangling Ding;Xingming Sun;
Pages: 535 - 546
Abstract: High efficiency video coding adopts a new hierarchical coding structure, including coding unit (CU), prediction unit (PU), and transform unit to achieve higher coding efficiency than its predecessor H.264/AVC high profile. However, its hierarchical unit partitioning strategy leads to huge computational complexity. In this paper, an adaptive inter CU depth decision algorithm is proposed, which exploits both temporal correlation of CU depth and available encoding parameters. An optimal selection model of CU depth is established to estimate the range of candidate CU depth by exploiting the temporal correlation of CU depth among current CU and temporally co-located CUs. To reduce the accumulated errors in the process of CU depth prediction, the maximum depth of the co-located CUs and the coded block flag (CBF) of the current CU are used. Moreover, PU size and CBF information are also used to decide the maximum depth for the current CU. Experimental results show that the proposed CU depth decision approach reduces 56.3% and 51.5% average encoding time, and the Bjontegaard delta bit rate increases only 1.3% and 1.1% for various test sequences under the random access and the low delay B conditions, respectively.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC
Encoding
• Authors: Linwei Zhu;Yun Zhang;Zhaoqing Pan;Ran Wang;Sam Kwong;Zongju Peng;
Pages: 547 - 561
Abstract: High Efficiency Video Coding (HEVC) improves the compression efficiency at the cost of high computational complexity by using the quad-tree coding unit (CU) structure and variable prediction unit (PU) modes. To minimize the HEVC encoding complexity while maintaining its compression efficiency, a binary and multi-class support vector machine (SVM)-based fast HEVC encoding algorithm is presented in this paper. First, the processes of recursive CU decision and PU selection in HEVC are modeled as hierarchical binary classification and multi-class classification structures. Second, according to the two classification structures, the CU decision and PU selection are optimized by binary and multi-class SVM, i.e., the CU and PU can be predicted directly via classifiers without intensive rate distortion (RD) cost calculation. In particular, to achieve better prediction performance, a learning method is proposed to combine the off-line machine learning (ML) mode and on-line ML mode for classifiers based on a multiple reviewers system. Additionally, the optimal parameters determination scheme is adopted for flexible complexity allocation under a given RD constraint. Experimental results show that the proposed method can achieve 68.3%, 67.3%, and 65.6% time saving on average while the values of Bjøntegaard delta peak signal-to-noise ratio are −0.093dB, −0.091dB, and −0.094dB and the values of Bjøntegaard delta bit rate are 4.191%, 3.842%, and 3.665% under low delay $P$ main, low delay main, and random access configurations, respectively, when compared with the HEVC test model version HM 16.5. Meanwhile, the proposed method outperforms the state-of-the-art fast coding algorithms in terms of complexity-reduction and RD performance.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• New PTS Schemes for PAPR Reduction of OFDM Signals Without Side
Information
• Authors: Hyun-Seung Joo;Kee-Hoon Kim;Jong-Seon No;Dong-Joon Shin;
Pages: 562 - 570
Abstract: In this paper, two partial transmit sequence (PTS) schemes without side information (SI) are proposed for reducing peak-to-average power ratio of orthogonal frequency division multiplexing signals. The proposed schemes do not transmit SI identifying a rotating vector because identifiable phase offset is applied to the elements of each rotating vector. To extract SI from the received signal and recover the data sequence, the maximum likelihood (ML) detector is used. This ML detector exploits the Euclidean distance between the given signal constellation and the signal constellation rotated by the phase offset. By doing pairwise error probability (PEP) analysis, it is investigated how to choose good phase offsets for embedding SI. Also, the performance degradation caused by SI detection failure is analyzed based on PEP. Finally, through numerical analysis, it is shown that the BER performance of the proposed PTS schemes is not degraded compared with the conventional PTS with perfect SI.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Media Transmission by Cooperation of Cellular Network and Broadcasting
Network
• Authors: Yanfeng Wang;Dazhi He;Lianghui Ding;Wenjun Zhang;Wei Li;Yiyan Wu;Ning Liu;Yao Wang;
Pages: 571 - 576
Abstract: Future media transmission as a consistent target is pursued by both next mobile communication system (5G) and advanced digital terrestrial television system. High data rate and flexibility are major considerations for future media transmission. Broadcasting network facilitates high-efficiency transmission of popular or live video in large area, and while, cellular network tends to provide personalized and localized services with a unicast/multicast model. The broadcast-like scheme emerges in 5G to resolve the high demand for bandwidth. However, it requires high deployment cost and imposes much interference on unicast/multicast services. In this paper, a cooperative structure of cellular network and broadcasting network using cloud radio access network (C-RAN) is proposed. The expenses of constructing hybrid network can be significantly cut down by applying the centralization and virtualization of C-RAN. Besides, technical approaches for 3GPP and ATSC cooperation in physical layer is detailed. Dedicated return channel (DRC) of broadcasting network is proposed to enable seamless interaction between broadcasters and few users in a remote area with high expense of cellular tower deployment. To loosen the real-time physical layer pipes period restriction of DRC system, three alternative periods are investigated to provide more flexibility to broadcasters.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Joint Wireless Positioning and Emitter Identification in DVB-T Single
Frequency Networks
• Authors: Liang Chen;Lie-Liang Yang;Jun Yan;Ruizhi Chen;
Pages: 577 - 582
Abstract: Digital television (DTV) signal has been recognized as a promising signal for navigation and positioning. However, due to the single frequency network (SFN) transmission within the European standard digital video broadcasting terrestrial (DVB-T) system, emitter confusion problem occurs in navigation and positioning, resulting in that a receiver is unable to know from which emitter a received signal comes. In this paper, we consider the wireless positioning with emitter confusion problem in DVB-T SFN networks. A joint wireless positioning and emitter identification algorithm is proposed, which is based on the expectation maximization (EM) method. The proposed algorithm is tested in a scenario, where signals are received from three to five emitters. Simulation results show that, relying on more than three emitters used in the tests for 2-D positioning, the EM-assisted positioning algorithm is feasible to achieve accurate positioning results in the existence of the emitter confusion problem. Our studies show that the performance achieved by the proposed algorithm approaches the Cramér-Rao bound. Furthermore, the proposed algorithm is effective to identify the DTV emitters, and the positioning performance is robust to the emitter identification error. Additionally, our methodology is general, and can be employed for time of arrival-based positioning in any SFNs.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Simplified Method for Log-Likelihood Ratio Approximation in High-Order
Modulations Based on the Voronoi Decomposition
• Authors: Vanessa B. Olivatto;Renato R. Lopes;Eduardo R. de Lima;
Pages: 583 - 589
Abstract: In modern communication systems, high-order modulation schemes have been widely employed to improve the spectral efficiency. In this context, soft decision methods are usually preferred, due to their superior performance over hard decisions. Soft decoders use metrics such as the log-likelihood ratios (LLRs) to measure the reliability of their decisions. Typically, the complexity of the exact channel LLR calculation increases exponentially with the modulation order of the system. The most well-known LLR approximation, the Max-Log-MAP symbol-to-bit demapper, still demands a large number of operations. In this paper, we present a novel simplified scheme that greatly reduces the complexity of the LLR demapper at high-order PSK and APSK modulations compared to the Max-Log-MAP soft-demapper. Moreover, it is shown that the proposed method has a negligible overall system performance loss compared to the same method.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• IEEE International Symposium on Broadband MutliMedia Systems and
• Pages: 590 - 590
Abstract: Describes the above-named upcoming conference event. May include topics to be covered or calls for papers.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Pages: 591 - 591
Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

• Pages: 592 - 592
Abstract: Describes the above-named upcoming conference event. May include topics to be covered or calls for papers.
PubDate: Sept. 2017
Issue No: Vol. 63, No. 3 (2017)

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