Energy Efficiency of Downlink Transmission Strategies for Cloud Radio Access Networks
Binbin Dai, Wei Yu

TL;DR
This paper compares the energy efficiency of data-sharing and compression strategies in cloud radio access networks, showing their effectiveness varies with user rate demands and optimizing power consumption.
Contribution
It introduces an optimization framework for energy efficiency comparison of two fundamental C-RAN downlink strategies using advanced algorithms.
Findings
Both strategies outperform non-optimized C-RAN in energy efficiency.
Data-sharing is more efficient at low user rates.
Compression becomes more efficient at high user rates.
Abstract
This paper studies the energy efficiency of the cloud radio access network (C-RAN), specifically focusing on two fundamental and different downlink transmission strategies, namely the data-sharing strategy and the compression strategy. In the data-sharing strategy, the backhaul links connecting the central processor (CP) and the base-stations (BSs) are used to carry user messages -- each user's messages are sent to multiple BSs; the BSs locally form the beamforming vectors then cooperatively transmit the messages to the user. In the compression strategy, the user messages are precoded centrally at the CP, which forwards a compressed version of the analog beamformed signals to the BSs for cooperative transmission. This paper compares the energy efficiencies of the two strategies by formulating an optimization problem of minimizing the total network power consumption subject to user…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Energy Harvesting in Wireless Networks
