DocumentCode :
1617627
Title :
Managing the Degree of Impulsiveness of Other Cell Interference
Author :
Gariby, Moran ; Gariby, Tal ; Zamir, Ram
Author_Institution :
Dept. of Electr. Eng. Syst., Tel-Aviv Univ., Tel-Aviv
fYear :
2008
Firstpage :
1398
Lastpage :
1403
Abstract :
We develop mechanisms for reducing the effect of interference between un-synchronized users by means of controlling the degree of impulsiveness of their interference signals. Our analysis assumes spread-spectrum multiple-access in the form of ternary (0,+1,-1) CDMA signaling. The interference statistics of this signaling and in particular its degree of impulsiveness, can be parameterized while keeping the desired de-spread signal fixed. We find the pairs of random spreading patterns of interferer and user which minimize the bit error rate (BER) at the user, as a function of the signal/interference-to-noise ratio matrix. At low SINRs high degree of impulsiveness (single active chip per spreading sequence) minimizes the BER, while at high SINRs low degree of impulsiveness is better. We then extend our analysis to coded systems with channel state information at the receiver, and show that the same spreading pairs maximize the exponential effective SNR mapping (EESM) criterion at the decoder. Finally, we propose distributed protocols which try to approach the optimal operation points (i.e., pairs of spreading patterns) in the lack of central coordination.
Keywords :
code division multiple access; error statistics; protocols; spread spectrum communication; CDMA signaling; bit error rate; cell interference; channel state information; distributed protocols; exponential effective SNR mapping criterion; impulsiveness degree; interference signal statistics; interference-to-noise ratio matrix; optimal operation points; random spreading patterns; spread-spectrum multiple-access; Bit error rate; Channel state information; Decoding; Information analysis; Interference; Multiaccess communication; Signal analysis; Signal to noise ratio; Spread spectrum communication; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.271
Filename :
4533307
Link To Document :
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