Hierarchical power allocation algorithm for D2D-based cellular networks with heterogeneous statistical quality-of-service constraints

• Published in: IET communications Vol. 12; no. 5; pp. 518 - 526
• Main Authors: Liu, Yuanfei, Wang, Ying, Sun, Ruijin, Miao, Zhongyu
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 20.03.2018
• Subjects: capacity‐payoff power‐loss game model; cellular radio; convex optimisation technique; convex programming; D2D‐based cellular network; data transmission; decomposition; delay constraint; device‐to‐device communication; energy conservation; energy resource; fractional programming technique; game theory; heterogeneous statistical quality‐of‐service constraint; hierarchical energy‐efficient optimal power allocation algorithm; hierarchical game; Lagrange dual decomposition; mobile handsets; network coverage; Newton iteration method; Newton method; outage probability constraint; parameter optimisation problem; power optimisation problem; probability; quality of service; Special Issue: Advances in Enabling Technologies for Green Communications and Networking; spectrum efficiency; statistical analysis; fractional programming technique; device-to-device communication; decomposition; Newton iteration method; network coverage; power optimisation problem; Newton method; EE; probability; game theory; heterogeneous statistical quality-of-service constraint; parameter optimisation problem; convex programming; quality of service; delay constraint; hierarchical energy-efficient optimal power allocation algorithm; outage probability constraint; capacity-payoff power-loss game model; data transmission; Lagrange dual decomposition; energy conservation; spectrum efficiency; energy resource; convex optimisation technique; D2D-based cellular network; statistical analysis; hierarchical game; cellular radio; mobile handsets
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2017.0488

Device-to-device (D2D) communication can increase network coverage, spectrum efficiency and energy efficiency (EE) within the existing cellular infrastructure, which makes it a promising architecture for the future networks. Due to the diversification of services, heterogeneous statistics quality-of-service constraints are considered in this study, where cellular users are concerned about the delay constraint and D2D user groups pay more attention to the outage probability of data transmission. The power allocation problem of cellular users can be solved by optimising the capacity-payoff power-loss game model. Upon exploiting Lagrange dual decomposition and the Newton iteration method, the power optimisation problem of cellular users is transformed into a parameter optimisation problem. Due to the limited energy resource of D2D users, EE is the focus of D2D user groups. Using fractional programming and convex optimisation techniques, energy-efficient optimal power allocation algorithms of D2D users are proposed subject to the outage probability constraint. As a result, a power allocation algorithm based on hierarchical game is conceived for efficiently solving the power optimisation problem. The simulation results show that the proposed algorithm can obtain a performance improvement compared with other algorithm and converge within a certain number of iterations.