Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Sapienza University of Rome · Purdue University West Lafayette
Abstract
Migrating computational intensive tasks from mobile devices to more resourceful cloud servers is a promising technique to increase the computational capacity of mobile devices while saving their battery energy. In this paper, we consider an MIMO multicell system where multiple mobile users (MUs) ask for computation offloading to a common cloud server. We formulate the offloading problem as the joint optimization of the radio resources-the transmit precoding matrices of the MUs-and the computational resources-the CPU cycles/second assigned by the cloud to each MU-in order to minimize the overall users' energy consumption, while meeting latency constraints. The resulting optimization problem is nonconvex (in the…
Citation impact
- FWCI
- 92.19
- Percentile
- 100%
- References
- 46
Authors
3Topics & keywords
- Computer science
- Cloud computing
- Mobile edge computing
- Optimization problem
- Server
- Distributed computing
- Mathematical optimization
- Radio access network
- Affordable and clean energy