DocumentCode
1764903
Title
On the Capacity of the Finite Field Counterparts of Wireless Interference Networks
Author
Krishnamurthy, Sundar R. ; Jafar, Syed A.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Irvine, Irvine, CA, USA
Volume
60
Issue
7
fYear
2014
fDate
41821
Firstpage
4101
Lastpage
4124
Abstract
This paper explores how degrees of freedom (DoF) results from wireless networks can be translated into capacity or linear capacity results for their finite field counterparts that arise in network coding applications. The main insight is that scalar (SISO) finite field channels over Fpn are analogous to n × n vector (MIMO) channels in the wireless setting, but with an important distinction-there is additional structure due to finite held arithmetic, which enforces commutativity of matrix multiplication and limits the channel diversity to n, making these channels similar to diagonal channels in the wireless setting. Within the limits imposed by the channel structure, the DoF optimal precoding solutions for wireless networks can be translated into capacity or linear capacity optimal solutions for their finite held counterparts. This is shown through the study of capacity of the 2-user X channel and linear capacity of the 3-user interference channel. Besides bringing the insights from wireless networks into network coding applications, the study of finite held networks over Fpn also touches upon important open problems in wireless networks (finite SNR, finite diversity scenarios) through interesting parallels between p and SNR, and n and diversity.
Keywords
MIMO communication; channel capacity; diversity reception; network coding; precoding; MIMO channel; SISO channel; channel capacity; diagonal channel; finite diversity; finite field counterpart; linear capacity; network coding; optimal precoding; scalar finite held channel; wireless interference network; Encoding; Interference channels; MIMO; Vectors; Wireless networks; Finite field channels; X channel; capacity; degrees of freedom; interference alignment; interference channel;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2321371
Filename
6809208
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