Paper Info
Title
Scaling Laws for Ergodic Spectral Efficiency in MIMO Ad-Hoc Networks.
Abstract
This paper considers a multi-antenna wireless network where the locations of transmitters are distributed as a Poisson point process, which is a natural model for ad-hoc and device-to-device networks. We show that, in such a network, the ergodic spectral efficiency scales linearly with respect to the network density under appropriate multiple antenna configurations and diversity assumptions. This scaling law is achieved by a simple zero-forcing decoder, which eliminates inter-stream interference using spatial multiplexing transmissions. We also show that when each receiver knows channel state information from some interferers, a higher scaling law holds for ergodic spectral efficiency than that without channel state information when using a partial zero-forcing method which eliminates dominant interference signals while boosting the desired signal power. Further, we show that spatial multiplexing transmission methods are essential for obtaining better scaling laws in certain regions of network parameters.
Year
Venue
Field
2017
IEEE Global Communications Conference
Topology,Wireless,Computer science,Ergodic theory,Real-time computing,Boosting (machine learning),Spectral efficiency,Interference (wave propagation),Poisson point process,Spatial multiplexing,Channel state information
DocType
ISSN
Citations 
Conference
2334-0983
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Junse Lee1212.87
Namyoon Lee285762.30
François Baccelli34543347.87