Abstract
In this paper, we formulate and solve two Energy Efficiency (EE) problems, namely the Power Minimization Problem (PMP) and the Maximization of Energy Efficiency Problem (MEEP), for a wireless system using power and frequency resource allocation considering Quality of Service (QoS) requirements and multiple services. Despite those problems are nonlinear, they can be converted into Integer Linear Problems (ILPs). Therefore, the optimal solution for both PMP and MEEP can be obtained by well-known methods. Additionally, we propose two fast suboptimal algorithms as to avoid the high computational complexity of obtaining optimal solution for MEEP. Our results show that the MEEP has a better trade-off between transmitted data rate and power saving than the PMP solution. Moreover, the suboptimal algorithms present good performance compared to the optimal solution for moderated loads but with a much lower computational complexity, thus achieving a remarkable trade-off between performance and computational complexity.
Highlights
Mobile communications have been experiencing an incredible development from the analog First Generation (1G) until the commercial deployment of Fourth Generation (4G) systems
SYSTEM MODELING AND FORMULATIONS Considering the downlink of a Single Input Single Output (SISO) system based on a combination of Orthogonal Frequency Division Multiple Access (OFDMA) and Time Division Multiple Access (TDMA), the system is composed of sectored cells connected to a Base Stations (BSs) serving a group of terminals
Motivated by the high computational burden to obtain the optimal solutions, we proposed two suboptimal algorithms to the Maximization of Energy Efficiency Problem (MEEP)
Summary
Mobile communications have been experiencing an incredible development from the analog First Generation (1G) until the commercial deployment of Fourth Generation (4G) systems. B. Contributions In summary, none of the presented works in this literature review has jointly considered the EE maximization subject to QoS and satisfaction guarantees in a multiservice scenario with RB assignment and transmit power allocation with discrete MCS levels. Contributions In summary, none of the presented works in this literature review has jointly considered the EE maximization subject to QoS and satisfaction guarantees in a multiservice scenario with RB assignment and transmit power allocation with discrete MCS levels This problem will be studied in this article. (i) Proposal of the optimal solution to the Maximization of Energy Efficiency Problem (MEEP) and the Power Minimization Problem (PMP) considering the joint frequency resource and discrete power allocation, and considering QoS in a multiservice scenario. (iii) Performance-complexity tradeoff analyses of the involved solutions for both problems in order to assess the efficiency of the suboptimal solutions
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