BRAINS: Joint Bandwidth-Relay Allocation in Multihoming Cooperative D2D Networks

Long Chen, Jigang Wu, Hong-Ning Dai, Xiaoxia Huang

Research output: Contribution to journalJournal articlepeer-review

27 Citations (Scopus)


Cooperative device-to-device (CD2D) communication has been considered to be a solution to capacity shortage problem. Combining multihoming and CD2D techniques together can potentially improve network performance. We propose a novel multihoming CD2D network, in which multiple homing mobile devices (MMDs) act as relays for the cooperative communications of ordinary mobile devices (OMDs). We formulate such joint bandwidth-relay allocation problem as a two-stage game, in order to deal with two challenges: how to motivate MMDs to lease spare bandwidths and help OMDs to choose appropriate MMD relays. In the first stage, we use a noncooperative game to model the competition between MMDs in terms of shared bandwidth and price. In the second stage, we model the behavior of OMDs selecting MMDs by an evolutionary game. We prove that there exists Nash equilibrium in the game and propose a distributed incentive scheme named incentive mechanism for efficient bandwidth relay sharing (IMES) to solve the joint bandwidth-relay allocation problem. Extensive simulation results show that the equilibrium can be achieved and the best response price of one MMD increases with the other's best price in the Stackelberg game. The utility of MMDs increases with the number of OMDs in each OMD group at the evolutionary equilibrium. The proposed algorithms are able to reduce average service delay by more than 25% in comparison to the randomized scheme, which is frequently used in existing works. On average, IMES outperforms existing scheme by about 20.37% in terms of utility of MMDs.
Original languageEnglish
Pages (from-to)5387-5398
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Issue number6
Publication statusPublished - Jun 2018

User-Defined Keywords

  • Cooperative communication
  • device-to-device
  • multiple homing
  • Stackelberg game
  • evolutionary game


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