Evaluation of Analog Joint Source-Channel Coding Systems for Multiple Access Channels

We address the evaluation of low-complexity analog Joint Source Channel Coding (JSCC) methods for the transmission of discrete-time analog symbols over Multiple-Input Multiple-Output (MIMO) Multiple Access Channels (MAC). Analog JSCC is employed to encode the source information at each transmitter p...

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Vydáno v:IEEE transactions on communications Ročník 63; číslo 6; s. 2312 - 2324
Hlavní autoři: Fresnedo, Oscar, Gonzalez-Coma, Jose P., Hassanin, Mohamed, Castedo, Luis, Garcia-Frias, Javier
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Analog Joint Source Channel Coding
Antennas
CDMA
Channel coding
Channels
Code Division Multiple Access
Coding
Distortion
Linear MMSE Transceiver
MIMO
Multiaccess communication
Multiple access
Multiple Access Channels
Receivers
Symbols
Transmitters
multiple access channels
linear MMSE transceiver
CDMA
Analog joint source channel coding
ISSN:0090-6778, 1558-0857
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Shrnutí:We address the evaluation of low-complexity analog Joint Source Channel Coding (JSCC) methods for the transmission of discrete-time analog symbols over Multiple-Input Multiple-Output (MIMO) Multiple Access Channels (MAC). Analog JSCC is employed to encode the source information at each transmitter prior to be directly input to the MAC access scheme. Three channel access methods are considered to ensure the receiver is able to recover the user information: Code Division Multiple Access (CDMA), linear MMSE access codes and opportunistic access. CDMA allows the orthogonal transmission of the user data requiring only Channel State Information (CSI) at reception. On the other hand, linear MMSE access codes exploit CSI knowledge at transmission and exhibit better performance. Finally, opportunistic access also exploits CSI at transmission and allocates all MAC resources to the user with the strongest channel. This latter access scheme exhibits the best performance in terms of sum distortion although it may lead to unfair rate distributions among users.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2015.2427164