Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the
  Order Optimality of Separation   We investigate the optimal performance of dense sensor networks by studying
the joint source-channel coding problem. The overall goal of the sensor network
is to take measurements from an underlying random process, code and transmit
those measurement samples to a collector node in a cooperative multiple access
channel with potential feedback, and reconstruct the entire random process at
the collector node. We provide lower and upper bounds for the minimum
achievable expected distortion when the underlying random process is Gaussian.
When the Gaussian random process satisfies some general conditions, we evaluate
the lower and upper bounds explicitly, and show that they are of the same order
for a wide range of power constraints. Thus, for these random processes, under
these power constraints, we express the minimum achievable expected distortion
as a function of the power constraint. Further, we show that the achievability
scheme that achieves the lower bound on the distortion is a separation-based
scheme that is composed of multi-terminal rate-distortion coding and
amplify-and-forward channel coding. Therefore, we conclude that separation is
order-optimal for the dense Gaussian sensor network scenario under
consideration, when the underlying random process satisfies some general
conditions.

23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph