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The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Energy-efficient link adaptation in frequency-selective channels

Miao, Guowang, Himayat, Nageen, Li, Geoffrey Ye·2010·IEEE Transactions on Communications

Abstract

Energy efficiency is becoming increasingly important for small form factor mobile devices, as battery technology has not kept up with the growing requirements stemming from ubiquitous multimedia applications. This paper addresses link adaptive transmission for maximizing energy efficiency, as measured by the "throughput per Joule" metric. In contrast to the existing water-filling power allocation schemes that maximize throughput subject to a fixed overall transmit power constraint, our scheme maximizes energy efficiency by adapting both overall transmit power and its allocation, according to the channel states and the circuit power consumed. We demonstrate the existence of a unique globally optimal link adaptation solution and develop iterative algorithms to obtain it. We further consider the special case of flat-fading channels to develop an upper bound on energy efficiency and to characterize its variation with bandwidth, channel gain and circuit power. Our results for OFDM systems demonstrate improved energy savings with energy optimal link adaptation as well as illustrate the fundamental tradeoff between energy-efficient and spectrum-efficient transmission.

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Metadata

Authors
Miao, G., Himayat, N., & Li, G. Y.
Venue
IEEE Transactions on Communications
Published
2010-02
Volume
58
Issue
2
Pages
545-554
ISSN
  • 0090-6778 (ISSN-L)
  • 1558-0857
OpenAlex
W2126087318
Cited by
587
References
13
FWCI
45.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Energy-efficient link adaptation in frequency-selective channels. https://app.cochat.ai/papers/10.1109/tcomm.2010.02.080587
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Miao, G., Himayat, N., & Li, G. Y. (2010). Energy-efficient link adaptation in frequency-selective channels. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2010.02.080587

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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