Energy Efficient Power Allocation for Device-to-Device Communications Underlaid Cellular Networks Using Stochastic Geometry

TL;DR

This paper develops an energy-efficient power allocation strategy for D2D underlaid cellular networks using stochastic geometry, optimizing transmission powers to enhance overall energy efficiency while maintaining QoS.

Contribution

It introduces a joint optimization framework for energy efficiency in D2D and cellular users, deriving closed-form expressions and solving a convex problem for power allocation.

Findings

Achieves up to 10% energy efficiency improvement in high-density scenarios.

Provides closed-form expressions for sum rate, success probability, and energy efficiency.

Validates the approach through simulations demonstrating significant energy savings.

Abstract

In this paper, we study an energy efficiency maximization problem in uplink for D2D communications underlaid with cellular networks on multiple bands. Utilizing stochastic geometry, we derive closed-form expressions for the average sum rate, successful transmission probability, and energy efficiency of cellular and D2D users. Then, we formulate an optimization problem to jointly maximize the energy efficiency of D2D and cellular users and obtain optimum transmission power of both D2D and cellular users. In the optimization problem, we guarantee the QoS of users by taking into account the success transmission probability on each link. To solve the problem, first we convert the problem into canonical convex form. Afterwards, we solve the problem in two phases, energy efficiency maximization of devices and energy efficiency maximization of cellular users. In the first phase, we maximize the energy efficiency of D2D users and feed the solution to the second phase where we maximize the energy efficiency of cellular users. Simulation results reveal that significant energy efficiency can be attained e.g., 10% energy efficiency improvement compared to fix transmission power in high density scenario.