  Smart Internet of Vehicles (IoV) as a promising application in Internet of
Things (IoT) emerges with the development of the fifth generation mobile
communication (5G). Nevertheless, the heterogeneous requirements of sufficient
battery capacity, powerful computing ability and energy efficiency for electric
vehicles face great challenges due to the explosive data growth in 5G and the
sixth generation of mobile communication (6G) networks. In order to alleviate
the deficiencies mentioned above, this paper proposes a mobile edge computing
(MEC) enabled IoV system, in which electric vehicle nodes (eVNs) upload and
download data through an anchor node (AN) which is integrated with a MEC
server. Meanwhile, the anchor node transmitters radio signal to electric
vehicles with simultaneous wireless information and power transfer (SWIPT)
technology so as to compensate the battery limitation of eletric vehicles.
Moreover, the spectrum efficiency is further improved by multi-input and
multi-output (MIMO) and full-duplex (FD) technologies which is equipped at the
anchor node. In consideration of the issues above, we maximize the average
energy efficiency of electric vehicles by jointly optimize the CPU frequency,
vehicle transmitting power, computing tasks and uplink rate. Since the problem
is nonconvex, we propose a novel alternate interior-point iterative scheme
(AIIS) under the constraints of computing tasks, energy consumption and time
latency. Results and discussion section verifies the effectiveness of the
proposed AIIS scheme comparing with the benchmark schemes.
