Abstract
Machine-type communication plays a critical role in the reliable operation of the smart grid. To overcome the problem of spectrum scarcity, the massive number of machine-type devices (MTDs) are allowed to reuse the spectrum resource allocated to the cellular users (CUs) opportunistically. However, the complicated interference caused by channel reusing and the energy efficiency (EE) issues pose new challenges on resource allocation. In this paper, we investigate the problem of EE maximization for MTDs via jointly optimizing channel selection and power control. A two-stage optimization algorithm is proposed based on many-to-one matching with externalities. In the first stage, each MTD is temporally allocated to predefined transmission power, and then the channel selection optimization problem is solved by matching with externalities to derive the matching relationship between MTDs and resource blocks (RBs). In the second stage, the power control optimization problem is solved by the nonlinear fractional programming algorithm based on the established matching relationship obtained in the first stage. The simulation results demonstrate that the proposed algorithm outperforms the other two heuristic algorithms distinctly.
Highlights
CONTRIBUTION In this paper, we study how to maximize the EE of machine-type devices (MTDs) via the joint optimization of channel selection and power control based on various practical constraints including stringent quality of service (QoS) requirements, transmission power, and resource blocks (RBs) reusing
We assume that the spectrum resources of the cellular network are divided into time-frequency RBs, namely, the orthogonal partitioning of spectrum resources is adopted, and each cellular users (CUs) transmits on a single subchannel or RB
TWO-STAGE ENERGY-EFFICIENT RESOURCE ALLOCATION ALGORITHM we introduce the energy-efficient joint channel selection and power control algorithm for machine-type communication
Summary
To support a massive number of MTDs, a promising solution is to allow them to reuse the spectrum resources of cellular users (CUs) [6] In this new paradigm, the practical implementation of machine-type communication in smart grid still faces several challenges, which are summarized as follows. CONTRIBUTION In this paper, we study how to maximize the EE of MTDs via the joint optimization of channel selection and power control based on various practical constraints including stringent quality of service (QoS) requirements, transmission power, and RB reusing. The formulated joint optimization problem is NP-hard which cannot be solved by using polynomial-time algorithms [10], due to the coupling of channel selection and power control.
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