NDLI: Real-time energy trading with grid in green cloud-RAN

Content Provider	IEEE Xplore Digital Library
Author	Ariffin, W.N.S.F.W. Xinruo Zhang Nakhai, M.R.
Copyright Year	2015
Description	Author affiliation: Centre for Telecommun. Res., King's Coll. London, London, UK (Ariffin, W.N.S.F.W.; Xinruo Zhang; Nakhai, M.R.)
Abstract	With enormously increasing demand for mobile data and high data rates, the aggregated power requirements by user terminals may exceed the amount of power budget at the remote radio heads (RRHs). Hence, the retailer has to purchase additional energy from the real-time market, i.e., the grid, and may take a risk of losing the profit. To address the aforementioned issue, this paper studies the real-time energy management for green cloud radio access network (C-RAN) using the local renewable energy generation at RRHs. We develop three different cooperative real-time energy trading strategies, namely, power-shortage management by partial cooperation, power-shortage management by full cooperation, and overall network energy management by full cooperation, to jointly minimize the energy consumption and the real-time energy trading under the constraints of demand and supply power balancing at RRHs and quality of service satisfaction at user terminals. For the first strategy, we formulate a sparse beamforming problem as an ℓ0-norm optimization problem and solve it using semidefinite relaxation (SDR) and iterative reweighted ℓ1-norm approximation of ℓ0-norm. We formulate the second and the third strategies as numerically tractable optimization problems and solve them using the SDR approach. Our simulation results show that the second and the third strategies perform closely up to medium signal-to-interference-plus-noise ratio range and both outperform the first strategy in terms of reducing the total energy cost of the retailer. Furthermore, in terms of cost reduction, all of our three joint cooperative transmission and energy trading strategies achieve significant performance gain, as compared to a baseline scheme that separately optimize the cooperative transmission and energy trading.
Starting Page	748
Ending Page	752
File Size	147601
Page Count	5
File Format	PDF
e-ISBN	9781467367820
DOI	10.1109/PIMRC.2015.7343397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real-time systems Renewable energy sources Quality of service Array signal processing Green products Optimization Sparse beamforming Cloud-RAN Energy trading Real-time power balancing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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