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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ABSTRACT: SUMMARY Applications of video streaming and real-time gaming, which generate large amounts of real-time traffic in the network, are expected to gain considerable popularity in Long Term Evolution networks. Maintaining the QoS such as packet delay, packet loss ratio, median, and cell border throughput requirements in networks dominated by real time traffic, is critical. The existing dimensioning methodology does not consider QoS parameters of real-time traffic in network dimensioning. Moreover, exhaustive and time-consuming simulations are normally required to evaluate the performance and QoS of real-time services. To overcome this problem, we propose an improved radio network dimensioning framework that considers the QoS of real-time traffic in network dimensioning. In this framework, an analytical model is proposed to evaluate the capacity and performance of real-time traffic dominant Long Term Evolution networks. The proposed framework provides a fast and accurate means of finding the trade-off between system load, packet delay, packet loss ratio, required median, and cell border throughput. It also provides network operators with an analytical means for obtaining the minimum number of sites required by jointly considering coverage, capacity and QoS requirements. The accuracy of the proposed model is validated through simulations. Copyright © 2012 John Wiley & Sons, Ltd.International Journal of Communication Systems 09/2012; 27(11). DOI:10.1002/dac.2447 · 1.11 Impact Factor