Game theory for multi-access edge computing: Survey, use cases, and future trends
Game theory (GT) has been used with significant success to formulate, and either design or
optimize, the operation of many representative communications and networking scenarios …
optimize, the operation of many representative communications and networking scenarios …
Peer-to-peer energy trading with sustainable user participation: A game theoretic approach
This paper explores the feasibility of social cooperation between prosumers within an
energy network in establishing their sustainable participation in peer-to-peer (P2P) energy …
energy network in establishing their sustainable participation in peer-to-peer (P2P) energy …
Computation offloading with data caching enhancement for mobile edge computing
Computation offloading is a proven successful paradigm for enabling resource-intensive
applications on mobile devices. Moreover, in view of emerging mobile collaborative …
applications on mobile devices. Moreover, in view of emerging mobile collaborative …
Socially trusted collaborative edge computing in ultra dense networks
Small cell base stations (SBSs) endowed with cloud-like computing capabilities are
considered as a key enabler of edge computing (EC), which provides ultra-low latency and …
considered as a key enabler of edge computing (EC), which provides ultra-low latency and …
Basic probability assignment to probability distribution function based on the Shapley value approach
Abstract In Dempster–Shafer evidence theory, how to use the basic probability assignment
(BPA) in decision‐making is a significant issue. The transformation of BPA into a probability …
(BPA) in decision‐making is a significant issue. The transformation of BPA into a probability …
A canonical coalitional game model incorporating motivational psychology analysis for incentivizing stable direct energy trading in smart grid
Y Wang, A Jiang, R Wang, J Tian - Energy, 2024 - Elsevier
While maximizing distributed energy value, direct electricity trading introduces strong
interactive features, leading to conflicting interests among users. A key challenge is …
interactive features, leading to conflicting interests among users. A key challenge is …
Supermodular game-based distributed joint uplink power and rate allocation in two-tier femtocell networks
This paper tackles the problem of joint users' uplink transmission power and data rate
allocation in multi-service two-tier femtocell networks. Each user-either macrocell (MUE) or …
allocation in multi-service two-tier femtocell networks. Each user-either macrocell (MUE) or …
Demand‐aware resource allocation for ultra‐dense small cell networks: an interference‐separation clustering‐based solution
In this paper, we present a novel clustering‐based resource allocation framework for
downlink transmission in ultra‐dense small cell networks. Specifically, we first model a …
downlink transmission in ultra‐dense small cell networks. Specifically, we first model a …
Embracing complexity: Agent-based modeling for HetNets design and optimization via concurrent reinforcement learning algorithms
Complexity is an inherent property in wireless heterogeneous networks (HetNets). In this
paper, we investigate the application of the agent-based modeling (ABM) tool for …
paper, we investigate the application of the agent-based modeling (ABM) tool for …
Resource optimization for device-to-device and small cell uplink communications underlaying cellular networks
This paper investigates the joint power control and subchannel allocation problem for device-
to-device and small cell uplink communications in a cellular network, with the aim of …
to-device and small cell uplink communications in a cellular network, with the aim of …