Transmission capacity of multi-antenna ad hoc networks with CSMA

Abstract

Multiple antennas have become a common component of wireless networks, improving range, throughput, and spatial reuse, both at the link and network levels. At the same time, carrier sensing is a widely used method of improving spatial reuse in distributed wireless networks, especially when there is limited coordination among non-communicating nodes. While the combination of carrier sensing and multiple antennas has been considered in the literature, physical layer spatial models and the attendant consequences have not been included. The primary reason for this has been the difficulty of analyzing functionals of interacting point processes. Having developed new methods of quantifying physical layer performance with robust spatial network models, we use these techniques to address the following questions: What multiple antenna techniques produce the best network performance, and what is the performance gain? And, how should multiple antennas interact with carrier sensing parameters? Overall, the analysis confirms the significant benefit of multiple antennas in distributed wireless networks.

Asymptotic data rates of limited-rank transmissions in wireless networks with interferers at correlated locations

“…[4], [1], [5]), or approximate user locations as being independent (e.g. [6], [7]). In this work, we consider a wireless network where Siddhartan receivers have a large number of antennas but unlike [5] where single antenna transmitters and linear minimum-mean-squareerror (MMSE) receivers were assumed, we allow for multiple transmit antennas and analyze the mutual information between the received and transmitted signal vectors.…”

Adaptive Frequency Hopping in Ad Hoc Networks with Rayleigh Fading and Imperfect Sensing

“…This deviation, however, is observed only in a limited region, since for low γ and/or λ b the approximation is valid, while for large γ the GZ inhibition effect vanishes. The latter can be seen by analyzing (1) and (2), showing that the medium access strategy converges to slotted Aloha as γ increases [9]. Fig.…”

“…[9]). With this fact, the large-scale density in an active channel ℓ, when V = v channels are active in the network, is obtained by 4 [8]…”

On the spatial modeling of wireless networks by random packing models

“…For the sake of comparison, we briefly discuss here the heuristic method which has so far been resorted to [4], [12], [15]. The model considered here is the Matérn hard-core model, The main idea is to approximate the Palm distribution of the Matérn model by the distribution of an inhomogeneous Poisson p.p.…”