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This study focuses on edge computing in dense millimeter wavevehicle-to-everything (V2X) networks. A control problem is formulated tominimize the energy consumption under delay constraint resulting from vehiclemobility. A tractable algorithm is proposed to solve this problem by optimizingthe offloaded computing tasks and transmit power of vehicles and road sideunits. The proposed dynamic solution can well coordinate the interferencewithout requiring global channel state information, and makes a tradeoffbetween energy consumption and task computing latency.

Energy and Latency Control for Edge Computing in Dense V2X Networks