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The BPJ-EE is defined as the achievable capacity divided by the total power consumption, which is also the transmitted bits per unit energy (Bits/Joule).
A distributed back-off strategy to achieve lower power consumption has been studied by Papadimitratos et al. [23], claiming 154% more data bits per unit energy consumed in the network.
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Here BS power consumption includes both transmit power and constant part power which accounts for the circuit, signal processing, cooling etc. NEE denotes the average total delivered bits per-unit energy in the whole cluster, and hence can better represent the EE in the multi-cell networks.
To assess the energy-based throughput performance gains that are achieved by our schemes, a performance measure that accounts for the total number of multicast bits transported by the system per unit energy expanded is used.
The EE of the k th user is defined as the average number of information bits that can be reliably conveyed over the channel per unit energy consumption, i.e., η k = R k p k + p c, (7).
The vertical axis indicates the number of superflares per star, per year, and per unit energy.
A widely used performance metric for EE is the number of transmitted bits per unit of energy.
Similar to[13, 14], energy efficiency is defined as the number of bits transmitted per unit of energy consumption in this article.
We define the energy efficiency ε as the number of bits received by a RX in units of bits per unit of bandwidth per unit of energy.
The classic EE metric, i.e., the number of delivered bits per energy unit, is adopted in this paper [23].
The energy efficiency can then be expressed as a function of the spectral efficiency (bits per unit of bandwidth per unit of time) and the power (energy per unit of time) as [27, 28] epsilon = frac{S_{1}}{Phi_{1}} + frac{S_{2}}{Phi_{2}}, (1).
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Justyna Jupowicz-Kozak
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