Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Bayesian Receiver with Improved Complexity-Reliability Trade-off in
  Massive MIMO Systems   The stringent requirements on reliability and processing delay in the
fifth-generation ($5$G) cellular networks introduce considerable challenges in
the design of massive multiple-input-multiple-output (M-MIMO) receivers. The
two main components of an M-MIMO receiver are a detector and a decoder. To
improve the trade-off between reliability and complexity, a Bayesian concept
has been considered as a promising approach that enhances classical detectors,
e.g. minimum-mean-square-error detector. This work proposes an iterative M-MIMO
detector based on a Bayesian framework, a parallel interference cancellation
scheme, and a decision statistics combining concept. We then develop a high
performance M-MIMO receiver, integrating the proposed detector with a low
complexity sequential decoding for polar codes. Simulation results of the
proposed detector show a significant performance gain compared to other low
complexity detectors. Furthermore, the proposed M-MIMO receiver with sequential
decoding ensures one order magnitude lower complexity compared to a receiver
with stack successive cancellation decoding for polar codes from the 5G New
Radio standard.

18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin