Energy-Efficiency-Oriented Cross-Layer Resource Allocation for Multiuser Full-Duplex Decode-and-Forward Indoor Relay Systems at 60 GHz

Energy-efficiency (EE)-oriented green communication design is an important issue at 60 GHz due to high power consumption of devices working at such a high frequency. In this paper, we investigate EE-oriented resource allocation for full-duplex (FD) decode-and-forward relay-assisted 60-GHz multiuser...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2016-12, Vol.34 (12), p.3366-3379
Main Authors: Wei, Zhongxiang, Zhu, Xu, Sun, Sumei, Huang, Yi
Format: Article
Language:English
Subjects:
60 GHz
cross-layer
decode-and-forward relay
Downlink
Energy efficiency
full-duplex
High definition video
Multilayers
Power demand
Relay systems
Relays
Resource allocation
Resource management
Sustainable development
Throughput
Uplink
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Summary:Energy-efficiency (EE)-oriented green communication design is an important issue at 60 GHz due to high power consumption of devices working at such a high frequency. In this paper, we investigate EE-oriented resource allocation for full-duplex (FD) decode-and-forward relay-assisted 60-GHz multiuser indoor systems. In contrast to the existing spectral efficiency (SE)-oriented designs, our scheme maximizes the EE for a FD relaying system under cross-layer constraints, addressing the typical problems at 60 GHz, such as the intermittent signal blockage caused by the small wavelength of millimeter-wave. A low-complexity EE-orientated resource allocation algorithm is proposed, by which the transmission power allocation, subcarrier allocation, and throughput assignment are performed jointly across multiple users. Simulation results verify our analytical results and confirm that the FD relaying with the proposed algorithm achieves a higher EE than the FD relaying with SE-oriented approaches, while offering a comparable SE. In addition, a much lower throughput outage probability is guaranteed by the proposed resource allocation algorithm, showing its robustness against channel estimation errors. A full range of power consumption sources and imperfect self-interference cancellation are considered to rationalize our analysis.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2016.2611982