Energy Efficient Resource Allocation for Multiuser Relay Networks

In this paper, a novel resource allocation algorithm is investigated to maximize the energy efficiency (EE) in multiuser decode-and-forward (DF) relay interference networks. The EE optimization problem is formulated as the ratio of the spectrum efficiency (SE) over the entire power consumption of th...

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Vydané v:IEEE transactions on wireless communications Ročník 16; číslo 2; s. 1218 - 1235
Hlavní autori: Singh, Keshav, Gupta, Ankit, Ratnarajah, Tharmalingam
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Convexity
decode-and-forward
Energy efficiency
Integer programming
Interference
multiuser
Optimization
Performance degradation
Performance evaluation
Power dissipation
Protocols
Relay networks
Relay networks (telecommunications)
Resource allocation
Resource management
Subcarriers
ISSN:1536-1276, 1558-2248
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Shrnutí:In this paper, a novel resource allocation algorithm is investigated to maximize the energy efficiency (EE) in multiuser decode-and-forward (DF) relay interference networks. The EE optimization problem is formulated as the ratio of the spectrum efficiency (SE) over the entire power consumption of the network subject to total transmit power, subcarrier pairing, and allocation constraints. The formulated problem is a nonconvex fractional mixed binary integer programming problem, i.e., NP-hard to solve. Furthermore, we resolve the convexity of the problem by a series of convex transformations and propose an iterative EE maximization algorithm to jointly determine the optimal subcarrier pairing at the relay, subcarrier allocation to each user pair and power allocation to all source and the relay nodes. Additionally, we derive an asymptotically optimal solution by using the dual decomposition method. To gain more insights into the obtained solutions, we further analyze the resource allocation algorithm in a two-user case with interference-dominated and noise-dominated regimes. In addition, a suboptimal algorithm is investigated with reduced complexity at the cost of acceptable performance degradation. Simulation results are used to evaluate the performance of the proposed algorithms and demonstrate the impacts of various network parameters on the attainable EE and SE.
Bibliografia:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2016.2641961