Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint Channel Estimation, Activity Detection and Decoding using Dynamic
  Message-Scheduling for Machine-Type Communications   In this work, we present a joint channel estimation, activity detection and
data decoding scheme for massive machine-type communications. By including the
channel and the a priori activity factor in the factor graph, we present the
bilinear message-scheduling GAMP (BiMSGAMP), a message-passing solution that
uses the channel decoder beliefs to refine the activity detection and data
decoding. We include two message-scheduling strategies based on the residual
belief propagation and the activity user detection in which messages are
evaluated and scheduled in every new iteration. An analysis of the convergence
of BiMSGAMP along with a study of its computational complexity is carried out.
Numerical results show that BiMSGAMP outperforms state-of-the-art algorithms,
highlighting the gains achieved by using the dynamic scheduling strategies and
the effects of the channel decoding part in the system.

5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio