Wireless systems and interference avoidance

Motivated by the emergence of programmable radios, we seek to understand a new class of communication system where pairs of transmitters and receivers can adapt their modulation/demodulation method in the presence of interference to achieve better performance. Using signal to interference ratio as a...

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Published in:	IEEE transactions on wireless communications Vol. 1; no. 3; pp. 415 - 428
Main Authors:	Rose, C., Ulukus, S., Yates, R.D.
Format:	Journal Article
Language:	English
Published:	Piscataway, NJ IEEE 01.07.2002 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Deletion Demodulation Detection, estimation, filtering, equalization, prediction Distributed algorithms Exact sciences and technology Extraterrestrial measurements Information, signal and communications theory Interference Iterative methods Modulation Modulation coding Modulation, demodulation Multiaccess communication Optimization Radio transmitters Receivers Signal and communications theory Signal, noise Stability Synchronous Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Waveforms Wireless communication Noise reduction Synchronous transmission Wireless telecommunication Code division multiple access Distributed algorithm Iterative method Adaptive modulation Signal detection Optimization
ISSN:	1536-1276, 1558-2248
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Abstract	Motivated by the emergence of programmable radios, we seek to understand a new class of communication system where pairs of transmitters and receivers can adapt their modulation/demodulation method in the presence of interference to achieve better performance. Using signal to interference ratio as a metric and a general signal space approach, we present a class of iterative distributed algorithms for synchronous systems which results in an ensemble of optimal waveforms for multiple users connected to a common receiver (or colocated independent receivers). That is, the waveform ensemble meets the Welch (1974) bound with equality and, therefore, achieves minimum average interference over the ensemble of signature waveforms. We derive fixed points for a number of scenarios, provide examples, look at ensemble stability under user addition and deletion as well as provide a simplistic comparison to synchronous code-division multiple-access. We close with suggestions for future work.
AbstractList	Motivated by the emergence of programmable radios, we seek to understand a new class of communication system where pairs of transmitters and receivers can adapt their modulation/demodulation method in the presence of interference to achieve better performance. Using signal to interference ratio as a metric and a general signal space approach, we present a class of iterative distributed algorithms for synchronous systems which results in an ensemble of optimal waveforms for multiple users connected to a common receiver (or colocated independent receivers). That is, the waveform ensemble meets the Welch (1974) bound with equality and, therefore, achieves minimum average interference over the ensemble of signature waveforms. We derive fixed points for a number of scenarios, provide examples, look at ensemble stability under user addition and deletion as well as provide a simplistic comparison to synchronous code-division multiple-access. We close with suggestions for future work Motivated by the emergence of programmable radios, we seek to understand a new class of communication system where pairs of transmitters and receivers can adapt their modulation/demodulation method in the presence of interference to achieve better performance. Using signal to interference ratio as a metric and a general signal space approach, we present a class of iterative distributed algorithms for synchronous systems which results in an ensemble of optimal waveforms for multiple users connected to a common receiver (or colocated independent receivers). That is, the waveform ensemble meets the Welch (1974) bound with equality and, therefore, achieves minimum average interference over the ensemble of signature waveforms. We derive fixed points for a number of scenarios, provide examples, look at ensemble stability under user addition and deletion as well as provide a simplistic comparison to synchronous code-division multiple-access. We close with suggestions for future work.
Author	Yates, R.D. Rose, C. Ulukus, S.
Author_xml	– sequence: 1 givenname: C. surname: Rose fullname: Rose, C. organization: Wireless Inf. Network Lab., Rutgers Univ., Piscataway, NJ, USA – sequence: 2 givenname: S. surname: Ulukus fullname: Ulukus, S. – sequence: 3 givenname: R.D. surname: Yates fullname: Yates, R.D.
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SubjectTerms	Applied sciences Deletion Demodulation Detection, estimation, filtering, equalization, prediction Distributed algorithms Exact sciences and technology Extraterrestrial measurements Information, signal and communications theory Interference Iterative methods Modulation Modulation coding Modulation, demodulation Multiaccess communication Optimization Radio transmitters Receivers Signal and communications theory Signal, noise Stability Synchronous Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Waveforms Wireless communication
Title	Wireless systems and interference avoidance
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