While network slicing has become a prevalent approach to service
differe...
Full-duplex (FD) technique can remarkably boost the network capacity in ...
In this paper, we design a 3D map management scheme for edge-assisted mo...
The sixth generation (6G) networks are expected to enable immersive
comm...
In this tutorial paper, we look into the evolution and prospect of netwo...
In this paper, we study a network slicing problem for edge-cloud orchest...
This paper presents a novel approach for computing resource management o...
In this paper, we design a resource management scheme to support statefu...
Federated learning (FL) over resource-constrained wireless networks has
...
Split learning (SL) is a collaborative learning framework, which can tra...
Traditional one-bit compressed stochastic gradient descent can not be
di...
Federated meta-learning (FML) has emerged as a promising paradigm to cop...
With the global roll-out of the fifth generation (5G) networks, it is
ne...
Edge intelligence leverages computing resources on network edge to provi...
In this paper, we investigate a radio access network (RAN) slicing probl...
In the second part of this paper, we develop a centralized packet
transm...
In this two-part paper, we propose a novel medium access control (MAC)
p...
Network function virtualization (NFV) fosters innovation in the networki...
The paradigm of network function virtualization (NFV) with the support o...
Beam alignment (BA) is to ensure the transmitter and receiver beams are
...
Space information network (SIN) is an innovative networking architecture...
Service-oriented virtual network deployment is based on statistical reso...
Recently, edge caching and multicasting arise as two promising technolog...
In this paper, a comprehensive software-defined networking (SDN) based
t...
Massive machine-type communication (mMTC) is a new focus of services in ...
LTE/WiFi Aggregation (LWA) provides a promising approach to relieve data...