A Survey on Power Control Techniques in Femtocell Networks

Abstract

Rapid increase in mobile data has raised the stakes on developing innovative new technologies and cellular topologies that can meet these demands in an energy efficient manner. One of the most interesting trends that will emerge from this cellular evolution is the femtocell networks. Femtocells are small, inexpensive, low power base stations that are generally consumer deployed, and are expected to significantly improve the coverage and capacity of the indoor users. Femtocell base stations (FBSs) have extensive auto configuration and self-optimization capability to enable simple plug-and-play deployment. The FBSs perform self-optimization function that continually adjusts the transmit power so the femtocell coverage does not leak into an outdoor area while sufficiently covering the indoor femtocell area. In this paper, different power control techniques in femtocell networks have been discussed and compared. The focus is on distributed power control techniques due to the decentralized nature of femtocell networks. The conclusion drawn from this review is that the distributed power control techniques using pilot power control schemes are simple and effective in optimizing the coverage of femtocells as well as reducing power consumption of the FBS. Furthermore a novel algorithm is still needed to perform power control optimization in femtocell networks.  Index Terms-heterogeneous networks, femtocell, power control Coverage range Up to 500m <100m <30m Backhaul X2 interface X2 interface Home broadband Access mode Open to all users Open to all users Closed subscriber group Deployment Outdoors Indoors or outdoors Indoors Installation By the operator By the operator By the user Cost Expensive Cheap Very cheap

Feasibility of Power Control for Multi-Channel User in Inter-Femtocell Network

“…The complexity of the centralized networks occurr because the process of computing at the base station is too much, which is related to the processing of all information from the environment and the users [16]. Therefore, the implementation of distributed systems that use only local information would be more realistic to be applied [17]. However, these two different schemes require feasibility test at the time before it will be implemented, as seen in Figure 3.…”

Feasibility of Power Control for Multi-Channel User in Inter-Femtocell Network

“…The complexity of the centralized networks occurr because the process of computing at the base station is too much, which is related to the processing of all information from the environment and the users [16]. Therefore, the implementation of distributed systems that use only local information would be more realistic to be applied [17]. However, these two different schemes require feasibility test at the time before it will be implemented, as seen in…”

A Novel Stochastic Learning Automata Based SON Interference Mitigation Framework for 5G HetNets

“…QoS improvement of edge users at each femtocell results in overall edge users performance gain at the network level. Authors in [15], concluded that the best way to achieve this with minimum complexity and signalling overhead between the network elements is through non-assisted self learning and adjusting methods. One of the latest research on this methodology has been done in [16] using stochastic learning algorithm, whereby femtocells independently learn and select CCs that result in minimum interference to the network.…”