Joint Access Spectrum and Backhaul Energy Allocation for Green Cognitive Heterogeneous Networks
| Autor: | Youyun Xu, Guanglin Zhang, Dapeng Li, Pengpeng Deng, Lin Gao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
game theory
Computer Science::Computer Science and Game Theory General Computer Science Computer science Pareto-optimal equilibrium 02 engineering and technology Frequency allocation Base station Telecommunications link Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Stackelberg competition Wireless General Materials Science Resource management Spectrum access business.industry Wireless network ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS General Engineering 020206 networking & telecommunications Renewable energy Backhaul (telecommunications) renewable energy allocation Smart grid Bandwidth allocation Resource allocation 020201 artificial intelligence & image processing cognitive radio networks lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 Heterogeneous network Computer network |
| Zdroj: | IEEE Access, Vol 6, Pp 24793-24808 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2018.2794520 |
| Popis: | In this paper, we examine the impact of uplink spectrum allocation on the backhaul energy allocation in a decentralized setting. We consider that two small base stations (SBSs) use the band from two spectrum owners to provide the uplink wireless transmission service and that two SBSs use a common renewable power supplier (RPS) to forward the uplink traffic. The wireless traffic will be forwarded to a gateway or macrobase station via the backhaul link. We study the system under a decentralized scenario, where SBSs (wireless operator), the spectrum owner, and the green energy supplier interact with each other. We formulate the interaction as a Stackelberg leader-followers game. The operator acts as the Stackelberg leader by choosing the energy and spectrum prices that it will pay to the RPS and the owner, respectively. Then, the RPS and the owner simultaneously determine the renewable energy storage and bandwidth allocation. We prove that for any set of resource prices, there exists a unique Pareto-optimal equilibrium in the followers' resource allocation game. We also show that the wireless network operator's optimal resource prices lie in one of two regions-one that leads to energy and spectrum allocation balance and one that does not. Furthermore, in the centralized system, we present a characterization of the unique optimal solution. The proposed scheme enables the SBSs to jointly decide to use green energy over backhaul links while properly allocating spectrum resources for wireless uplinks. Finally, the results show that the proposed scheme achieves a system performance comparable to that of a centralized solution. |
| Databáze: | OpenAIRE |
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