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Ergodic Interference Alignment with Limited Feedback: Power Control and Rate Adaptation
Chalmers University of Technology, Gothenburg, Sweden.ORCID iD: 0000-0001-9853-2977
Tongji University, Shanghai, China.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2015 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 4, no 12, p. 6679-6694Article in journal, Editorial material (Refereed) Published
Abstract [en]

Considering the time-varying K-user single-antenna interference channel (IC), it has been shown that, when terminals have perfect global channel state information (CSI) and they can tolerate asymptotically long delay, applying an ergodic interference alignment (EIA) scheme can achieve half of the interference-free achievable rate. However, in practice obtaining such CSI is challenging, and only a limited delay is acceptable. This paper addresses data transmission over the IC by taking these concerns into account. Specifically, we consider the case that each transmitter attains only quantized CSI via limited feedback signals. This causes imperfect interference alignment and a degraded performance. We propose adaptive schemes to compensate the impact of the CSI uncertainties. We first study a power control problem which concerns how to communicate at fixed rates using minimum transmit powers. A power control algorithm is used to reach the solution. Next, we address a throughput maximization problem when the transmit powers are fixed. Through the analysis of system outage probability, we propose a rate adaptation scheme to maximize throughput. Finally, we quantify the throughput loss in delay-limited systems. Our results show that, even with limited feedback, performing the EIA scheme with proper power control or rate adaptation strategies can still outperform conventional orthogonal transmission approaches.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers , 2015. Vol. 4, no 12, p. 6679-6694
National Category
Engineering and Technology Communication Systems Telecommunications Signal Processing
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-173948DOI: 10.1109/TWC.2015.2457925ISI: 000366848200013Scopus ID: 2-s2.0-84961677882OAI: oai:DiVA.org:kth-173948DiVA, id: diva2:856466
Note

Updated from accepted to published.

QC 20160115

Available from: 2015-09-24 Created: 2015-09-24 Last updated: 2017-12-01Bibliographically approved

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Farhadi, HamedSkoglund, Mikael

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