Zhenyu Zhou

TL;DR: This paper proposes an efficient incentive mechanism based on contract theoretical modeling to minimize the network delay from a contract-matching integration perspective and demonstrates that significant performance improvement can be achieved by the proposed scheme.

TL;DR: This paper studies the deployment of D2D communications as an underlay to long-term evolution-advanced (LTE-A) networks based on novel architectures such as cloud radio access network (C-RAN).

TL;DR: In this paper, the authors introduce the basic concept of blockchain and illustrate why a consensus mechanism plays an indispensable role in a blockchain enabled IoT system, and discuss the main ideas of two famous consensus mechanisms, PoW and PoS, and list their limitations in IoT.

TL;DR: This paper employs the Gale–Shapley algorithm to match D2D pairs with cellular UEs, which is proved to be stable and weak Pareto optimal, and extends the algorithm to address scalability issues in large-scale networks by developing tie-breaking and preference-deletion-based matching rules.

TL;DR: This article proposes a learning-based channel selection framework with service reliability awareness, energy awareness, backlog awareness, and conflict awareness, by leveraging the combined power of machine learning, Lyapunov optimization, and matching theory, and proves that the proposed framework can achieve guaranteed performance.