Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing
Document Type
Conference Proceeding
Publication Date
1-1-2018
Abstract
Mobile edge computing (MEC) is a new networking paradigm that enables low-latency computation offloading for compute-intensive mobile applications. The dynamic wireless channel, non-uniform spatiotemporal traffic, and limited computation resources impair the service latency of mobile edge computing. Therefore, jointly managing radio and computation resources is needed to achieve low latency MEC. In this paper, we propose a joint radio and computation resource management (iRAR) algorithm which minimizes users' service latency by optimizing the uplink transmission power, receive beamforming, computation task assignment, and computation resource allocation. We compare the performance of the proposed algorithm with three different algorithms and demonstrate that the iRAR algorithm reduces up to 52% average service latency as compared to the other algorithms.
Identifier
85063464010 (Scopus)
Publication Title
Proceedings IEEE Global Communications Conference Globecom
External Full Text Location
https://doi.org/10.1109/GLOCOM.2018.8647792
e-ISSN
25766813
ISSN
23340983
Grant
1810174
Fund Ref
National Science Foundation
Recommended Citation
Liu, Qiang; Han, Tao; and Ansari, Nirwan, "Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing" (2018). Faculty Publications. 8970.
https://digitalcommons.njit.edu/fac_pubs/8970
