Fully scheduled decomposition channel estimation based MIMO‐POMA structured LTE

Abstract

Recent challenging channel estimation for antenna beam shape MIMO without performance loss is to be improved. In this paper, a fully scheduled decomposition-based channel estimation scheme is proposed by using the concept of MIMO with position-orthogonal multiple access (POMA) system. Furthermore, to improve power allocation, an iterative power decomposition is proposed by giving solution to power optimization problem. The proposed work channel estimation achieves better comparisons.

CapsNet‐based computing in cognitive communications

“…Load balancing algorithm is deployed in the load balancer. When a switch receives new flow from source host, then the switch sends a message to inform the load balancer for installing new flow rules for routing the traffic to the destination host. “Fully‐Scheduled Decomposition Channel Estimation based MIMO‐POMA structured LTE”—Authored by Kumar , Madhu; T , Venkata: This paper [15] has proposed a fully scheduled decomposition‐based channel estimation scheme by using the concept of multiple input and multiple output (MIMO) with position‐orthogonal multiple access (POMA) system. Furthermore, to improve power allocation, iterative power decomposition is proposed by giving solution to power optimization problem. “Improvising Packet Delivery and Reducing Delay Ratio in Mobile Ad‐hoc Network Using Neighbor Coverage Based Topology Control Algorithm”—Authored by P , Punitha; J , Shanthini; S , Karthik: This research work [16] is focused on delay and neighbor connectivity‐based constrain in MANET architectures.…”