Scaling Laws of Dense MultiAntenna Cellular Networks
Abstract
We study the scaling laws of the signaltointerferenceplusnoise ratio (SINR) and the area spectral efficiency (ASE) in multiantenna cellular networks, where the number of antennas scales with the base station (BS) spatial density $\lambda$, under the assumption of independent and identically distributed (i.i.d.) channels. We start with the MISO case with $N_t(\lambda)$ transmit antennas and a single receive antenna and prove that the average SINR scales as $\frac{N_t(\lambda)}{\lambda}$ and the average ASE scales as $\lambda\log\left(1+\frac{N_t(\lambda)}{\lambda}\right)$. For the MIMO case with singlestream eigenbeamforming and $N_r(\lambda) \leq N_t(\lambda)$ receive antennas, we prove that the scaling laws of the conditional SINR and ASE are agnostic to $N_r(\lambda)$ and scale exactly the same as the MISO case. Hence, deploying multiantenna BSs can help maintain nonzero peruser throughput and a corresponding linear increase in the ASE in dense cellular networks.
 Publication:

arXiv eprints
 Pub Date:
 January 2020
 arXiv:
 arXiv:2001.05083
 Bibcode:
 2020arXiv200105083A
 Keywords:

 Computer Science  Information Theory