Streaming Video Capacity Comparisons of Multi-Antenna LTE Systems
ABSTRACT The 3GPP Long Term Evolution (LTE) Release-8 specifications are designed to deliver higher peak data rates, higher throughput and lower air-interface latency compared to 2G and 3G systems. This higher performance will make it possible to support more demanding applications beyond web-browsing and voice, requiring higher data rates and stricter QoS constraints. Video services are becoming increasingly popular over the Internet indicating that the demand for such high data-rate video applications over cellular wireless will continue to grow. However, in order to make these services commercially viable in a LTE system it is necessary for the air-interface to deliver high quality services to a significant number of users simultaneously. In this paper we investigate the video capacity of a LTE air-interface using realistic video traffic models. An LTE air-interface can support multiple-antenna transmit arrays and several multiple antenna transmission modes to increase system capacity. We investigate the benefits of using 4 transmit antennas compared to 2 transmit antennas on the video capacity of an LTE system. The results from our investigation indicate that the capacity benefits with 4 transmit antennas are much higher with video services than those observed with other traffic models such as the full-buffer traffic model. The results also show that a 10MHz TDD LTE system can service upto 48 users per sector with 256Kbps video streams in the downlink indicating that such services can be commercially viable.
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Conference Proceeding: Boosting Video Capacity of IEEE 802.11n through Multiple Receiver Frame Aggregation.[show abstract] [hide abstract]
ABSTRACT: The technology based on the IEEE 802.11 standard has been hugely successful, and is evolving towards even higher speeds and richer features. In particular, the 802.11n amendment of the standard aims to achieve the physical layer (PHY) rate of 600Mbps. Although the 802.11n offers sufficient bandwidth to support high-resolution video applications such as High Definition TV (HDTV), we find that the number of video streams that can be supported on the IEEE 802.11n networks depends heavily on how the frame aggregation is implemented. In addition to the frame aggregation scheme stipulated in the amendment, we explore a multiple-receiver frame aggregation scheme for video traffic. The comparative study reveals through extensive simu- lation that the proposed multiple-receiver aggregation scheme increases the number of supported video streams by a factor of 2 or higher. We also shed light on the qualitative difference in the dynamics of the two approaches. Whereas the aggregation efficiency worsens with traffic increase in the point-to-point aggregation (which is highly undesirable), the proposed multiple- receiver aggregation exhibits resiliency against congestion, by matching the aggregation efficiency to the traffic load.Proceedings of the 67th IEEE Vehicular Technology Conference, VTC Spring 2008, 11-14 May 2008, Singapore; 01/2008
- Web, Arizona State University.
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ABSTRACT: As wireless local area networks (WLANs) become a part of our network infrastructure, it is critical that we understand both the performance provided to the end users and the capacity of these WLANs in terms of the number of supported flows (calls). Since it is clear that video traffic, as well as voice and data, will be carried by these networks, it is particularly important that we investigate these issues for packetized video. In this paper, we investigate the video user capacity of wireless networks subject to a multiuser perceptual quality constraint. As a particular example, we study the transmission of AVC/H.264 coded video streams over an IEEE 802.11a WLAN subject to a constraint on the quality of the delivered video experienced by r% (75%, for example) of the users of the WLAN. This work appears to be the first such effort to address this difficult but important problem. Furthermore, the methodology employed is perfectly general and can be used for different networks, video codecs, transmission channels, protocols, and perceptual quality measures.IEEE Transactions on Multimedia 01/2009; · 1.75 Impact Factor