2013/05/21 by Maksym A. Girnyk, Girnyk, Maksym A., Mikko Vehkaperä +3 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Body Area Networks
paper · pdf · doi:10.48550/arxiv.1305.4755
openalex publication_date 2013/05/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Presence of multiple antennas on both sides of a communication channel\npromises significant improvements in system throughput and power efficiency. In\neffect, a new class of large multiple-input multiple-output (MIMO)\ncommunication systems has recently emerged and attracted both scientific and\nindustrial attention. To analyze these systems in realistic scenarios, one has\nto include such aspects as co-channel interference, multiple access and spatial\ncorrelation. In this paper, we study the properties of correlated MIMO\nmultiple-access channels in the presence of external interference. Using the\nreplica method from statistical physics, we derive the ergodic sum-rate of the\ncommunication for arbitrary signal constellations when the numbers of antennas\nat both ends of the channel grow large. Based on these asymptotic expressions,\nwe also address the problem of sum-rate maximization using statistical channel\ninformation and linear precoding. The numerical results demonstrate that when\nthe interfering terminals use discrete constellations, the resulting\ninterference becomes easier to handle compared to Gaussian signals. Thus, it\nmay be possible to accommodate more interfering transmitter-receiver pairs\nwithin the same area as compared to the case of Gaussian signals. In addition,\nwe demonstrate numerically for the Gaussian and QPSK signaling schemes that it\nis possible to design precoder matrices that significantly improve the\nachievable rates at low-to-mid range of signal-to-noise ratios when compared to\nisotropic precoding.\n