Energy-Efficient Transceiver Design for Cache-Enabled Millimeter-Wave Systems

In recent years, network densification and edge caching become effective approaches to reduce the burden on the fronthaul links and the content delivery latency for wireless communication systems. However, maximizing system spectral efficiency cannot directly provide any insight on their energy requ...

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Veröffentlicht in:IEEE transactions on communications Jg. 68; H. 6; S. 3876 - 3889
Hauptverfasser: He, Shiwen, Wang, Jiaheng, Huang, Wei, Huang, Yongming, Xiao, Ming, Zhang, Yaoxue
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0090-6778, 1558-0857, 1558-0857
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Zusammenfassung:In recent years, network densification and edge caching become effective approaches to reduce the burden on the fronthaul links and the content delivery latency for wireless communication systems. However, maximizing system spectral efficiency cannot directly provide any insight on their energy requirements/efficiency for cache-enabled millimeter-wave (mmWave) radio access networks (RANs). In this paper, we study the design of energy-efficient transceiver, consisting of analog and digital precoder/combiner, for the delivery phase of the downlink of cache-enabled mmWave RANs. Due to the non-convexity of the delivery rate and objective, the coupling between the digital and analog precoders/combiners, and the constant module constraint on the elements of analog precoders/combiners, the problem of interest is non-convex and hard to obtain the global optimal solution, even the local optimal solution. To this end, we first overcome these challenges one-by-one and then transform the original problem into tractable one. Finally, an algorithmic framework that converges to the Karush-Kuhn-Tucker solution with provable is developed to achieve the design of energy-efficient transceiver. Numerical results are provided to evaluate the performance of the proposed algorithm, where fully digital precoding is used as benchmark.
Bibliographie:ObjectType-Article-1
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ISSN:0090-6778
1558-0857
1558-0857
DOI:10.1109/TCOMM.2020.2978388