Energy Efficiency of Multiple Antenna Cellular Networks Considering a Realistic Power Consumption Model

Abstract

We analyze the area energy efficiency (AEE) of a cellular network employing spatial multiplexing (SM), maximal ratio transmission (MRT) and transmit antenna selection (TAS) schemes. Moreover, we consider a realistic power consumption model for small base stations (BSs), which includes the power consumed by the backhaul as well as different interference attenuation levels. Our goal is to maximize the AEE by deploying the optimal number of BSs given some requirements, such as demanded network capacity, amount of interference and employed MIMO scheme. Results show that TAS performs better in terms of AEE when the interference is not fully canceled and for no interference cancellation when the demand for system capacity is lower, while SM becomes more energy efficient when the demanded capacity is higher. Additionally, when the capacity demand and the area to be covered are fixed, we show that although achieving the highest AEE, TAS also demands more small BSs than SM. The system performance in terms of AEE is shown to be strongly dependent on the amount of interference, which in turn depends on the employed interference-mitigation scheme and on the power consumption model.

A model for system integration of second life battery, renewable energy generation and mobile network station

“…2. The model needed to calculate the variability of power adsorbed by the RB has been conceived in order to consider the variability of the traffic for area considered, adapted from literature data [3], [4]; the main sizing of the plant, considering elements such as the area coverage, the microcell base station (BS) type, characterized by a selected radius covering area and number of transmit antennas, an appropriate path loss model [5], and finally the backhaul power consumption model [6].…”

“…A more efficient energy consumption per RB cluster, considering a smart activation strategy for each cell BSs and smart criteria of transmit antenna selection in order to have a consumption proportional to traffic with an optimal choice of ON BSs NBS and effective transmit antennas Nact,TX, in recent with recent technology development [5], [6]. Finally, the model has been prepared in order to accept a randomized factor for traffic modification, which can be used as a perturbation to predicted traffic due to casual factors.…”

Coverage and Energy Efficiency Analysis for Two-Tier Heterogeneous Cellular Networks Based on Matérn Hard-Core Process

“…In [25][26][27][28][29], the EE of HCN under the PPP model is studied, and the strategies to optimize the EE are proposed from the aspects of transmit power, BS sleeping, BS density and so on. Also under the PPP model, [30][31][32] analyzes the relationship between EE and spectral efficiency (SE), [33][34][35][36][37] analyze or optimize the Area SE and EE of HCN. However, the EEs of HCNs based on non-PPP models have not been analytically investigated.…”

Joint Optimization of Pico-Base-Station Density and Transmit Power for an Energy-Efficient Heterogeneous Cellular Network

“…In [31], the optimization of BS density to enhance EE through traffic-aware sleeping strategies in both one-and two-tier cellular networks was researched. In [32][33][34][35][36], area spectral efficiency (ASE) and EE of ultra-dense cellular networks were analyzed or optimized.…”