Joint Transmission and Coding Scheme for High-Resolution Video Streams over Multiuser MIMO-OFDM Systems
-
- TASHIRO Koji
- Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
-
- LANANTE Leonardo
- Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
-
- KUROSAKI Masayuki
- Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
-
- OCHI Hiroshi
- Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
Description
<p>High-resolution image and video communication in home networks is highly expected to proliferate with the spread of Wi-Fi devices and the introduction of multiple-input multiple-output (MIMO) systems. This paper proposes a joint transmission and coding scheme for broadcasting high-resolution video streams over multiuser MIMO systems with an eigenbeam-space division multiplexing (E-SDM) technique. Scalable video coding makes it possible to produce the code stream comprised of multiple layers having unequal contribution to image quality. The proposed scheme jointly assigns the data of scalable code streams to subcarriers and spatial streams based on their signal-to-noise ratio (SNR) values in order to transmit visually important data with high reliability. Simulation results show that the proposed scheme surpasses the conventional unequal power allocation (UPA) approach in terms of both peak signal-to-noise ratio (PSNR) of received images and correct decoding probability. PSNR performance of the proposed scheme exceeds 35dB with the probability of over 95% when received SNR is higher than 6dB. The improvement in average PSNR by the proposed scheme compared to the conventional UPA comes up to approx. 20dB at received SNR of 6dB. Furthermore, correct decoding probability reaches 95% when received SNR is greater than 4dB.</p>
Journal
-
- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
-
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A (11), 2304-2313, 2017
The Institute of Electronics, Information and Communication Engineers
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282681288464512
-
- NII Article ID
- 130006191373
-
- ISSN
- 17451337
- 09168508
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
-
- Abstract License Flag
- Disallowed