Energy- and Spectral-Efficient Resource Allocation Algorithm for Heterogeneous Networks

In this paper, the tradeoff between energy efficiency and spectral efficiency in multicell heterogeneous networks is investigated. Our objective is to maximize both energy efficiency and spectral efficiency of the network, while satisfying the minimum rate requirements of the users. We define our ob...

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Vydáno v:IEEE transactions on vehicular technology Ročník 67; číslo 1; s. 590 - 603
Hlavní autoři: Coskun, Cemil Can, Ayanoglu, Ender
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Base stations
Convergence
Energy conversion efficiency
Energy efficiency
Energy transmission
Frequency assignment
Frequency reuse
heterogeneous cellular networks
Heterogeneous networks
Interference
Measurement
multi-objective optimization
Power efficiency
Power management
Resource allocation
Resource management
Spectra
spectral efficiency
User requirements
User satisfaction
Wireless networks
ISSN:0018-9545, 1939-9359
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Shrnutí:In this paper, the tradeoff between energy efficiency and spectral efficiency in multicell heterogeneous networks is investigated. Our objective is to maximize both energy efficiency and spectral efficiency of the network, while satisfying the minimum rate requirements of the users. We define our objective function as the weighted summation of energy efficiency and spectral efficiency functions. The fractional frequency reuse (FFR) scheme is employed to suppress intercell interference. We formulate the problem as cell-center boundary selection for FFR, frequency assignment to users, and power allocation. The optimal solution of this problem requires exhaustive search over all cell-center radii, frequency assignments, and power levels. We propose a three-stage algorithm and apply it consecutively until convergence. First, we select the cell-center radius for the FFR method. Second, we assign the frequency resources to users to satisfy their rate requirements and also maximize the objective function. Third, we solve the power allocation subproblem by using the Levenberg-Marquardt method. Minimum rate requirements of users are also included in the solution by using dual decomposition techniques. Our numerical results show a Pareto-optimal solution for energy efficiency and spectral efficiency. We present energy efficiency, spectral efficiency, outage probability, and average transmit power results for different minimum rate constraints. Among other results, we show that, in a particular setting, <inline-formula><tex-math notation="LaTeX">{\text{13}}\%</tex-math> </inline-formula> energy efficiency increase can be obtained in a multicell heterogeneous wireless network by sacrificing <inline-formula><tex-math notation="LaTeX">{\text{7}}\%</tex-math></inline-formula> spectral efficiency.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2017.2743684