Yanhua He

TL;DR: A contract-based incentive mechanism to motivate some delay-tolerant machine-type communication devices to postpone their access demands in exchange for higher access opportunities is proposed, and a long-term cross-layer online resource allocation approach is proposed based on Lyapunov optimization.

TL;DR: A game-based resource allocation problem is proposed to deal with the contradiction between the centralized objective of the controller and the individual objectives from the IoT region servers and the convergence of the proposed algorithms are analyzed with numerous simulation results.

TL;DR: A cross-layer resource allocation algorithm is developed to optimize the long-term system performance while guaranteeing the stability of data queues, and simulation results demonstrate that the proposed algorithm can achieve superior performance and simultaneously guarantee queue stability.

TL;DR: This work develops a cross-layer low-complexity resource allocation algorithm, which jointly optimizes the rate control and power allocation from a long-term perspective and can reach 99.9% of the optimal satisfaction of D2D pairs with lower average network delay compared to the baseline algorithm.

TL;DR: The simulation results show that DSDRSS supports more dependable coverage compared with random sleeping strategy and general repulsive sleeping strategy, and can not only enable flexible perception of traffic changes in sleeping area but also complete sleeping with less overhead.