Power Control and Cell Discontinuous Transmission Used As a Means of Decreasing Small-Cell Networks’ Energy Consumption

Abstract

Abstract-In this article, we analyze the issues of power control and Cell Discontinuous Transmission (Cell DTx) in a small-cell network. More precisely, we evaluate the performance of a policy, thanks to which each base station minimizes its own energy consumption. We have recently proposed this policy in a monocell scenario and we extend the scope of our previous work in this article, as we propose to use this policy in a multi-cell network. For that purpose, we first consider a network made of two base stations, in which we can compute the minimum network's energy consumption, which enables to provide users with the requested quality of service. If we compare the proposed policy with this minimum, we can demonstrate that the proposed policy has a good performance, which, however, can be improved by reducing the maximum transmit power of the base station. Then, we apply our algorithm in the case of a dense network, in which the proposed policy outperforms other policies and provides a 6% gain in energy, where compared to a policy featuring no power control. We show that the reduction of the maximum transmit power can increase this gain up to 11% of the network's energy consumption.

Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing

“…[14]. Thus, most of the works in the literature propose strategies based on possible ON/OFF behavior of the APs, known as Discontinuous Transmission (DTX) [14], [16]- [21], by which some components of the AP are put in low-power sleep states when possible, e.g., in case of low traffic. In the context of edge computing and computation offloading, there exists a wide literature [12], [22]- [31].…”

“…The constraints in ( 16) have the following meaning: (a) the average end-to-end delay of each user does not exceed Clearly, the problem formulation in ( 16) raises many issues in terms of high complexity and hard tractability. First of all, in (16), the objective function and the long-term constraints (cf. (12), (13)) cannot be computed a priori, since the statistics of radio channels and data arrivals are not supposed to be known.…”

Spatiotemporal D2D Small Cell Allocation and On-Demand Deployment for Microgrids

“…However, these efforts mostly ignored the spatial SC allocation, which might cause unnecessary long-term cost waste, with intercell interference problems and QoS reduction. One of the main reasons for ignoring spatial SC allocation resulted from the concentration on small-scale networks considering singleor bi-SC modeling and analysis [32], which might not be applicable for large-scale smart grid.…”