Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey

TLDR

Energy consumption of cellular infrastructure is a major concern for operators and the environment, yet renewable energy and hardware upgrades are costly, making protocol‑level sleep‑mode approaches attractive and inexpensive. This survey reviews sleep‑mode techniques for base stations, critiques simplifying assumptions about traffic‑load effects, and outlines future research directions. The reviewed methods exploit daily and weekly traffic variations to switch lightly loaded base stations into low‑power modes without altering network architecture. Sleep‑mode strategies can significantly reduce base‑station energy use, but studies that ignore traffic‑load dependence overestimate savings, with realistic models showing noticeably lower benefits.

Abstract

Due to global climate change as well as economic concern of network operators, energy consumption of the infrastructure of cellular networks, or "Green Cellular Networking," has become a popular research topic. While energy saving can be achieved by adopting renewable energy resources or improving design of certain hardware (e.g., power amplifier) to make it more energy-efficient, the cost of purchasing, replacing, and installing new equipment (including manpower, transportation, disruption to normal operation, as well as associated energy and direct cost) is often prohibitive. By comparison, approaches that work on the operating protocols of the system do not require changes to current network architecture, making them far less costly and easier for testing and implementation. In this survey, we first present facts and figures that highlight the importance of green mobile networking and then review existing green cellular networking research with particular focus on techniques that incorporate the concept of the "sleep mode" in base stations. It takes advantage of changing traffic patterns on daily or weekly basis and selectively switches some lightly loaded base stations to low energy consumption modes. As base stations are responsible for the large amount of energy consumed in cellular networks, these approaches have the potential to save a significant amount of energy, as shown in various studies. However, it is noticed that certain simplifying assumptions made in the published papers introduce inaccuracies. This review will discuss these assumptions, particularly, an assumption that ignores the effect of traffic-load-dependent factors on energy consumption. We show here that considering this effect may lead to noticeably lower benefit than in models that ignore this effect. Finally, potential future research directions are discussed.