Downlink User Association and Uplink Scheduling for Energy Harvesting Users in Software-Defined Mobile Networks

by   Hassan Yeganeh, et al.

In this paper we consider a heterogeneous network which consists of a macro base station and some pico base stations utilizing massive MIMO and MIMO techniques, respectively. A central software-defined mobile network (SDMN) controller is adopted in order to provide user association and energy scheduling. The users are considered battery limited and are capable of simultaneous wireless information and power transfer (SWIPT) in order to harvest energy and address the energy shortage issue. These users harvest energy from the received signals in the downlink and consume it via their uplink communications. This paper deals with the downlink user association by jointly optimizing the overall sum-rate of the network and the harvested energy by introducing an appropriate utility function. In this regard, the optimum user association and power splitting factor for each user are calculated via the downlink optimization stage. Then, the process of uplink scheduling is defined as choosing the best users in each time epoch to transfer data as well as optimizing their transmit power by solving Lyapunov drift-plus-penalty function. Simulation results are provided in order to confirm the optimality of the proposed algorithm in comparison with the previous user association and uplink scheduling approaches in terms of providing fairness and battery management among users.


page 4

page 12


Secure Simultaneous Information and Power Transfer for Downlink Multi-user Massive MIMO

In this paper, downlink secure transmission in simultaneous information ...

Joint User Scheduling and Power optimization in Full-Duplex Cells with Successive Interference Cancellation

This paper considers a cellular system with a full-duplex base station a...

Fundamentals of Simultaneous Wireless Information and Power Transmission in Heterogeneous Networks: A Cell Load Perspective

In a heterogeneous cellular network (HetNet) consisting of multiple diff...

Federated Learning over Energy Harvesting Wireless Networks

In this paper, the deployment of federated learning (FL) is investigated...

Distributed Power Control Schemes for In-Band Full-Duplex Energy Harvesting Wireless Networks

This paper studies two power control problems in energy harvesting wirel...

Performance Evaluations of C-Band 5G NR FR1 (Sub-6 GHz) Uplink MIMO on Urban Train

Due to the recent demand for huge Uplink throughput on Mobile networks d...

Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach

The Metaverse play-to-earn games have been gaining popularity as they en...

Please sign up or login with your details

Forgot password? Click here to reset