Dynamic Programming Based Cooperative Mobility Management in Ultra Dense Networks

  • Ziyue Zhang
  • Jie Gong
  • Xiang ChenEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 313)


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.


Mobile edge computing Mobility management Cooperative transmission Markov decision process Dynamic programming 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  1. 1.School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhouChina
  2. 2.Key Lab of EDAResearch Institute of Tsinghua University in Shenzhen (RITS)ShenzhenChina
  3. 3.School of Data and Computer ScienceSun Yat-sen UniversityGuangzhouChina

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