You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: Softwarization of Mobile Network Functions towards Agile and Energy Efficient 5G Architectures: A Survey 
Chapter Title:  EPC Control Strategies for BS Energy Management and 
1. Abstract of Cited Paper (BIB001):  In this paper, we investigate dynamic base station (BS) switching to reduce energy consumption in wireless cellular networks. Specifically, we formulate a general energy minimization problem pertaining to BS switching that is known to be a difficult combinatorial problem and requires high computational complexity as well as large signaling overhead. We propose a practically implementable switching-on/off based energy saving (SWES) algorithm that can be operated in a distributed manner with low computational complexity. A key design principle of the proposed algorithm is to turn off a BS one by one that will minimally affect the network by using a newly introduced notion of network-impact, which takes into account the additional load increments brought to its neighboring BSs. In order to further reduce the signaling and implementation overhead over the air and backhaul, we propose three other heuristic versions of SWES that use the approximate values of network-impact as their decision metrics. We describe how the proposed algorithms can be implemented in practice at the protocol-level and also estimate the amount of energy savings through a first-order analysis in a simple setting. Extensive simulations demonstrate that the SWES algorithms can significantly reduce the total energy consumption, e.g., we estimate up to 50-80% potential savings based on a real traffic profile from a metropolitan urban area.

Literature Review:
Big Data Analytics. The power consumption in BSs can be minimized by considering strategies that allow tuning their energy consumption to the network load. For example, by adapting the transmission power in relation to the offered traffic demand [82, BIB002 . This can overcome the radio access network architecture limitations which is provisioned to handle maximum expected network load, yet for each BS the load fluctuates over time due to different usage patterns and mobility. To enable power transmission adaptation and load balancing across BSs, traffic load information (operator mobile traffic datasets) obtained from the EPC can be utilized to extract relevant demand patterns to design dynamic BS management mechanisms BIB001   . Optimization based on mobile traffic datasets from the operator, obtained from multiple network elements, will make it possible to minimize the amount of time it takes to steer traffic on a real time basis. These datasets hold a very promising potential when it comes to mobile network system analysis, as they can capture the traffic dynamics over time and space, at unmatched scales. Their use is expected to pave the way towards very efficient and self-adaptable network solutions.