2 research outputs found
A Double-Layered Framework for Distributed Coordination in Solving Linear Equations
This paper proposes a double-layered framework (or form of network) to
integrate two mechanisms, termed consensus and conservation, achieving
distributed solution of a linear equation. The multi-agent framework considered
in the paper is composed of clusters (which serve as a form of aggregating
agent) and each cluster consists of a sub-network of agents. By achieving
consensus and conservation through agent-agent communications in the same
cluster and cluster-cluster communications, distributed algorithms are devised
for agents to cooperatively achieve a solution to the overall linear equation.
These algorithms outperform existing consensus-based algorithms, including but
not limited to the following aspects: first, each agent does not have to know
as much as a complete row or column of the overall equation; second, each agent
only needs to control as few as two scalar states when the number of clusters
and the number of agents are sufficiently large; third, the dimensions of
agents' states in the proposed algorithms do not have to be the same (while in
contrast, algorithms based on the idea of standard consensus inherently require
all agents' states to be of the same dimension). Both analytical proof and
simulation results are provided to validate exponential convergence of the
proposed distributed algorithms in solving linear equations
Power Allocation and User Assignment Scheme for Beyond 5G Heterogeneous Networks
The issue of spectrum scarcity in wireless networks is becoming prominent and
critical with each passing year. Although several promising solutions have been
proposed to provide a solution to spectrum scarcity, most of them have many
associated tradeoffs. In this context, one of the emerging ideas relates to the
utilization of cognitive radios (CR) for future heterogeneous networks
(HetNets). This paper provides a marriage of two promising candidates (i.e., CR
and HetNets) for beyond fifth generation (5G) wireless networks. More
specifically, a joint power allocation and user assignment solution for the
multi-user underlay CR-based HetNets has been proposed and evaluated. To
counter the limiting factors in these networks, the individual power of
transmitting nodes and interference temperature protection constraints of the
primary networks have been considered. An efficient solution is designed from
the dual decomposition approach, where the optimal user assignment is obtained
for the optimized power allocation at each node. The simulation results
validate the superiority of the proposed optimization scheme against
conventional baseline techniques.Comment: Beyond 5G, Cognitive Radio (CR), Dual Decomposition, User Fairness,
Heterogeneous Networks (HetNets