  This study focuses on edge computing in dense millimeter wave
vehicle-to-everything (V2X) networks. A control problem is formulated to
minimize the energy consumption under delay constraint resulting from vehicle
mobility. A tractable algorithm is proposed to solve this problem by optimizing
the offloaded computing tasks and transmit power of vehicles and road side
units. The proposed dynamic solution can well coordinate the interference
without requiring global channel state information, and makes a tradeoff
between energy consumption and task computing latency.
