Scaling Laws for Ergodic Spectral Efficiency in MIMO Poisson Networks

Abstract

In this paper, we examine the benefits of multiple antenna communication in random wireless networks, the topology of which is modeled by stochastic geometry. The setting is that of the Poisson bipolar model introduced in [1], which is a natural model for ad-hoc and device-to-device (D2D) networks. The primary finding is that, with knowledge of channel state information between a receiver and its associated transmitter, by zero-forcing successive interference cancellation, and for appropriate antenna configurations, the ergodic spectral efficiency can be made to scale linearly with both 1) the minimum of the number of transmit and receive antennas, 2) the density of nodes and 3) the path-loss exponent. This linear gain is achieved by using the transmit antennas to send multiple data streams (e.g. through an open-loop transmission method) and by exploiting the receive antennas to cancel interference. Furthermore, when a receiver is able to learn channel state information from a certain number of near interferers, higher scaling gains can be achieved when using a successive interference cancellation method. A major implication of the derived scaling laws is that spatial multiplexing transmission methods are essential for obtaining better and eventually optimal scaling laws in multiple antenna random wireless networks. Simulation results support this analysis.

Ergodic Spectral Efficiency in MIMO Cellular Networks

“…Besides the addition of noise, numerous other extensions are invited, for instance multiuser MIMO or BS cooperation [62]. When dealing with MIMO, care must be exercised whenever N r > N t and, especially, whenever N r N t ; then, if the fading of dominant interferer(s) can be tracked, spatial color can be exploited [63], [64]. This can be accounted for by circumscribing our unfaded interference model to the rest of the interference, separately incorporating the terms that correspond to interferers whose fading is known.…”

Opportunistic Routing Based on Partial CSI in MIMO Random Ad-hoc Networks

“…Furthermore, the FSO scheme is not practical given its high complexity. By contrast, the SR routing scheme, (21), requires much lower computational complexity and yields higher performance. Fig.…”

“…To date, however, opportunistic relaying has not been investigated for MIMO multi-hop networks. MIMO increases the data rate in WANETs by enabling both spatial multiplexing and interference mitigation (e.g., [21]).…”

Opportunistic routing based on partial CSI in MIMO random ad-hoc networks

“…To date, however, opportunistic relaying has not been investigated for MIMO multihop networks. MIMO increases the data rate in WANETs by enabling both spatial multiplexing and interference mitigation (e.g., [21]).…”