Linear and Dirty‐Paper Techniques for the Multiuser MIMO Downlink

Peel, C.B.; Spencer, Q.H.; Swindlehurst, A. Lee; Haardt, Martin; Hochwald, Bertrand M.

doi:10.1002/0470010045.ch6

Cited by 4 publications

(1 citation statement)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Dirty Paper Coding (DPC) [12] enables to achieve an optimal capacity but is impractical in real systems due to its complexity and full CSI requirement. Alternatively, linear precoding methods, such as zero-forcing (ZF) [13], appear to be more robust to erroneous CSI and with a low complexity relatively to other methods.…”

Section: B Mu-mimo Frameworkmentioning

confidence: 99%

Flow-level modeling of multi-user beamforming in mobile networks

Khlass¹,

Bonald²,

Elayoubi³

2014

2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

View full text Add to dashboard Cite

Abstract-Among the several features that are foreseen for increasing the capacity of cellular systems, Multi-user multipleinput multiple-output (MU-MIMO) is considered as a key enabling technology. Particularly, MU-beamforming is a powerful means of increasing the system capacity and throughput by creating several spatial signals to different users on the same time/frequency resource. In this paper, we develop an analytical model for MU-beamforming based on queuing theory combined with network simulations. The proposed framework is used for evaluating the potential gains in terms of capacity and throughput in LTE-Advanced system. Several scenarios are studied, with and without beamforming. Results show an important gain of SU-beamforming over the classical system without beamforming and a further gain of MU-beamforming, especially at high loads.

show abstract

Section: B Mu-mimo Frameworkmentioning

confidence: 99%

Flow-level modeling of multi-user beamforming in mobile networks

Khlass¹,

Bonald²,

Elayoubi³

2014

2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

View full text Add to dashboard Cite

show abstract

IEEE 802.11ac multi-user MIMO capacity and impact of antenna array geometry based on indoor measurements

Issiali

Guillet

Zein

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

View full text Add to dashboard Cite

Based on channel measurements conducted at 5 GHz, this paper examines the impact of transmitting antennas on the Block Diagonalization (BD) capacity gain for IEEE 802.11ac MultiUser Multiple Input Multiple Output (MU-MIMO) in Home Networks. We study in details a system with two users with two antennas each by evaluating multiple numbers as well as various geometries of transmitting antennas. The experiments reveal that Crossed Circular Array (CCA) is recommended for small sized transmitter with 8 antennas (70% of MU-MIMO capacity gain over Single User MIMO (SU-MIMO) is achieved for a 20 dB of Signal-to-Noise Ratio (SNR)). In the context of a less congested system, it has been shown that using 6 transmitting antennas arranged in Uniform Linear Array (ULA) gives a gain close to that obtained with 8 antennas. We have also shown, using measured path loss values, that the capacity gain of MU-MIMO to SU-MIMO goes beyond the double when the difference between the received power of each user is high. This is obtained in comparison with the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) as a channel access method, 130% of gain is achieved when the gap between the received powers of each user is around 40 dB.

show abstract