Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …

Recently, there has been growing interest in solving consensus optimization problems in a
multiagent network. In this paper, we develop a decentralized algorithm for the consensus …

In decentralized consensus optimization, a connected network of agents collaboratively
minimize the sum of their local objective functions over a common decision variable, where …

Consider the consensus problem of minimizing f(x)=i=1^nf_i(x), where x∈R^p and each f_i
is only known to the individual agent i in a connected network of n agents. To solve this …

We design sparse and block sparse feedback gains that minimize the variance amplification
(ie, the H 2 norm) of distributed systems. Our approach consists of two steps. First, we …

We propose a distributed algorithm, named Distributed Alternating Direction Method of
Multipliers (D-ADMM), for solving separable optimization problems in networks of …

The radio environment map (REM), which can visualize the information of invisible
electromagnetic spectrum, is vital for monitoring, management, and security of spectrum …

Radio maps characterize quantities of interest in radio communication environments, such
as the received signal strength and channel attenuation, at every point of a geographical …

The term'radio map'in general refers to the geographical signal power spectrum density,
formed by the superposition of concurrent wireless transmissions, as a function of location …

With a booming number of wireless Internet-of-Things devices, satellite communications
have been recognized as a key pillar to support massive communication and ubiquitous …