Hide menu

Available internal projects

Performance Analysis of MU-MIMO with Very Large Antenna Arrays Over Nakagami-m Fading Channels

Contact:

Background

Multiuser MIMO (MU-MIMO), where the base stations (BSs) are equipped with multiple antennas and communicate with several co-channel users, has gained much attention and is now being introduced in several new generation wireless standards (e.g., LTE-Advanced, 802.16m). Conventional MIMO technology uses a relatively small number of antennas at the BS. The LTE standard, for example, allows for up to 8 antenna ports. By contrast, we are concerned with MIMO systems that use a very large number of antennas at the BS compared to systems being built today, i.e., a hundred or more antennas. Recently, MU-MIMO with very large antenna arrays at the BS is of particular interest since it i) significantly improves the data rate, and communication reliability [1, 2]; and ii) reduces the transmit power of an order of magnitude, or more [3]. Most of the previous studies assume that the channels are Rayleigh fading. However, it is better to model the channel as the Nakagami-m fading since Nakagami-m channels capture a variety of physical environments (including Rayleigh fading models). Furthermore, Nakagami-m model has been shown to fit better with empirical data. Therefore, it is necessary to investigate the performance of very large MU-MIMO under Nakagami-m fading channels.

Problem statement

In this project, we will study the performance of MU-MIMO with very large antenna arrays over Nakagami-m channels. We consider the uplink and assume that the BS uses maximum-ratio combining techniques to detect the transmit signals from the users. We use measures such as sum-rate, symbol error probability, outage probability, etc, to analyze the system performance and the effect of the fading parameter on the power efficiency, required number of antennas, etc.

Prerequisites

The student needs a strong background in mathematics (especially analytics, algebra), probability theory, and good skills in Matlab programming.

References

[1] F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, Scaling up MIMO:Opportunities and challenges with very large arrays, IEEE Signal Process. Mag., to appear. [Online]. Available://arxiv.org/abs/1201.3210.
[2] T. L. Marzetta, Noncooperative cellular wireless with unlimited numbers of base station antennas, IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590-3600, Nov. 2010.
[3] H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, Energy and spectral ef_ciency of very large multiuser MIMO systems, IEEE Trans. Commun., submitted. [Online]. Available: //arxiv.org/abs/1112.3810.

Page responsible: Danyo Danev
Last updated: 2014 09 22   16:58