Binary power allocation in symmetric Wyner-type interference networks
The Wyner interference network is a popular model used in research on cellular networks due to its simplicity and analytical tractability. In this paper, the optimal power allocation strategies in symmetric one- and two-sided Wyner models are investigated.We determine a sufficient condition for bina...
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Institute of Electrical and Electronics Engineers Inc.
2014
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my.utp.eprints.310662022-03-25T08:53:55Z Binary power allocation in symmetric Wyner-type interference networks Badruddin, N. Evans, J. Hanly, S.V. The Wyner interference network is a popular model used in research on cellular networks due to its simplicity and analytical tractability. In this paper, the optimal power allocation strategies in symmetric one- and two-sided Wyner models are investigated.We determine a sufficient condition for binary power control (BPC) to be optimal that can be applied to the one-sided symmetric model. We consider binary power schemes for the symmetric two-sided Wyner network. Using a method of grouping links and performing a piecewise comparison of the group rates, we are able to determine the optimal power policy that maximizes the network sum rate. The result of the optimization can be expressed as follows for both types of networks: When the interfering channel gain �ε is small, it is optimal (in the class of binary schemes) to have all links on; otherwise, alternate links are switched off to remove interference. We characterize the critical values of ε where the transitions occur. © 2014 IEEE. Institute of Electrical and Electronics Engineers Inc. 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919686340&doi=10.1109%2fTWC.2014.2343619&partnerID=40&md5=24c72079ae2af3e8822e0e510df9ffba Badruddin, N. and Evans, J. and Hanly, S.V. (2014) Binary power allocation in symmetric Wyner-type interference networks. IEEE Transactions on Wireless Communications, 13 (12). pp. 6903-6914. http://eprints.utp.edu.my/31066/ |
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The Wyner interference network is a popular model used in research on cellular networks due to its simplicity and analytical tractability. In this paper, the optimal power allocation strategies in symmetric one- and two-sided Wyner models are investigated.We determine a sufficient condition for binary power control (BPC) to be optimal that can be applied to the one-sided symmetric model. We consider binary power schemes for the symmetric two-sided Wyner network. Using a method of grouping links and performing a piecewise comparison of the group rates, we are able to determine the optimal power policy that maximizes the network sum rate. The result of the optimization can be expressed as follows for both types of networks: When the interfering channel gain �ε is small, it is optimal (in the class of binary schemes) to have all links on; otherwise, alternate links are switched off to remove interference. We characterize the critical values of ε where the transitions occur. © 2014 IEEE. |
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Article |
author |
Badruddin, N. Evans, J. Hanly, S.V. |
spellingShingle |
Badruddin, N. Evans, J. Hanly, S.V. Binary power allocation in symmetric Wyner-type interference networks |
author_facet |
Badruddin, N. Evans, J. Hanly, S.V. |
author_sort |
Badruddin, N. |
title |
Binary power allocation in symmetric Wyner-type interference networks |
title_short |
Binary power allocation in symmetric Wyner-type interference networks |
title_full |
Binary power allocation in symmetric Wyner-type interference networks |
title_fullStr |
Binary power allocation in symmetric Wyner-type interference networks |
title_full_unstemmed |
Binary power allocation in symmetric Wyner-type interference networks |
title_sort |
binary power allocation in symmetric wyner-type interference networks |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2014 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919686340&doi=10.1109%2fTWC.2014.2343619&partnerID=40&md5=24c72079ae2af3e8822e0e510df9ffba http://eprints.utp.edu.my/31066/ |
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13.251813 |