Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Addressing the curse of mobility in massive MIMO with Prony-based
  angular-delay domain channel predictions   Massive MIMO is widely touted as an enabling technology for 5th generation
(5G) mobile communications and beyond. On paper, the large excess of base
station (BS) antennas promises unprecedented spectral efficiency gains.
Unfortunately, during the initial phase of industrial testing, a practical
challenge arose which threatens to undermine the actual deployment of massive
MIMO: user mobility-induced channel Doppler. In fact, testing teams reported
that in moderate-mobility scenarios, e.g., 30 km/h of user equipment (UE)
speed, the performance drops up to 50% compared to the low-mobility scenario, a
problem rooted in the acute sensitivity of massive MIMO to this channel
Doppler, and not foreseen by many theoretical papers on the subject. In order
to deal with this "curse of mobility", we propose a novel form of channel
prediction method, named Prony-based angular-delay domain (PAD) prediction,
which is built on exploiting the specific angle-delay-Doppler structure of the
multipath. In particular, our method relies on the high angular-delay
resolution which arises in the context of 5G. Our theoretical analysis shows
that when the number of base station antennas and the bandwidth are large, the
prediction error of our PAD algorithm converges to zero for any UE velocity
level, provided that only two accurate enough previous channel samples are
available. Moreover, when the channel samples are inaccurate, we propose to
combine the PAD algorithm with a denoising method for channel estimation phase
based on the subspace structure and the long-term statistics of the channel
observations. Simulation results show that under a realistic channel model of
3GPP in rich scattering environment, our proposed method is able to overcome
this challenge and even approaches the performance of stationary scenarios
where the channels do not vary at all.

28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph