Research Article
Dynamic Programming Based Cooperative Mobility Management in Ultra Dense Networks
@INPROCEEDINGS{10.1007/978-3-030-41117-6_21, author={Ziyue Zhang and Jie Gong and Xiang Chen}, title={Dynamic Programming Based Cooperative Mobility Management in Ultra Dense Networks}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part II}, proceedings_a={CHINACOM PART 2}, year={2020}, month={2}, keywords={Mobile edge computing Mobility management Cooperative transmission Markov decision process Dynamic programming}, doi={10.1007/978-3-030-41117-6_21} }- Ziyue Zhang
Jie Gong
Xiang Chen
Year: 2020
Dynamic Programming Based Cooperative Mobility Management in Ultra Dense Networks
CHINACOM PART 2
Springer
DOI: 10.1007/978-3-030-41117-6_21
Abstract
In ultra dense networks (UDNs), base stations (BSs) with mobile edge computing (MEC) function can provide low latency and powerful computation to energy and computation constrained mobile users. Meanwhile, existing wireless access-oriented mobility management (MM) schemes are not suitable for high mobility scenarios in UDNs. In this paper, a novel dynamic programming based MM (DPMM) scheme is proposed to optimize delay performance considering both wireless transmission and task computation under an energy consumption constraint. Based on markov decision process (MDP) and dynamic programming (DP), DPMM utilizes statistic system information to get a stationary optimal policy and can work in an offline mode. Cooperative transmission is further considered to enhance uplink data transmission rate. Simulations show that the proposed DPMM scheme can achieve close-to-optimal delay performance while consume less energy. Moreover, the handover times are effectively reduced so that quality of service (QoS) is improved.
