  With the increasing popularity of user equipments (UEs), the corresponding
UEs' generating big data (UGBD) is also growing substantially, which makes both
UEs and current network structures struggling in processing those data and
applications. This paper proposes a Near-Far Computing Enhanced C-RAN (NFC-RAN)
architecture, which can better process big data and its corresponding
applications. NFC-RAN is composed of near edge computing (NEC) and far edge
computing (FEC) units. NEC is located in remote radio head (RRH), which can
fast respond to delay sensitive tasks from the UEs, while FEC sits next to
baseband unit (BBU) pool which can do other computational intensive tasks. The
task allocation between NEC or FEC is introduced in this paper. Also WiFi
indoor positioning is illustrated as a case study of the proposed architecture.
Moreover, simulation and experiment results are provided to show the
effectiveness of the proposed task allocation and architecture.
