The algorithm can be divided into three mutually dependent steps (Figure 3), namely, CCI mitigation and user grouping (blue coloured blocks with a solid line), user selection, based on the proposed adaptive scheduling metric using an incremental approach (green coloured blocks with a dashed line) and optimal transmission scheme selection (yellow coloured block with a dashed-dotted line).
In this paper, an uplink interference mitigation with user-specific power control and RB allocation scheme is presented for uplink heterogeneous networks.
Precoding is a well-known technique for MUI mitigation in multi-user multiple-input multiple-output (MU-MIMO) systems [4,5].
Gladius, a decentralized content delivery network (CDN) and DDoS mitigation solution, enables users to monetize their internet bandwidth to serve content from websites and services running on the network.
However, an appropriate precoding technique, responsible for inter-user interference mitigation, may be applied at the transmitter to make spatial user grouping possible.
Ku et al., various performance evaluation results of interference mitigation schemes from HAPS user terminals (HUTs) are presented.
Given the varied benefits of using the simulation packages such as; cost efficiency, time, risk mitigation, greater insights and user friendliness of systems.
In the last paper entitled "Performance study of multi-user interference mitigation schemes for hybrid broadband multi beam satellite architectures" [6], precoding and multi-user detection schemes for multi beam satellites comparing are examined.
It handles the mitigation of the multi-user interference as well as the intrinsic interference.
In the inter-cluster interference mitigation or first step, users in each cluster are divided into two groups (CEU/CCU) and mapped to different frequency sets.
