A Stochastic Approach for Resource Allocation with Backhaul and Energy Harvesting Constraints

We propose a novel stochastic radio-resource-allocation strategy that achieves long-term fairness considering backhaul and air-interface capacity limitations. The base station (BS) is powered only with a finite battery that is recharged by an energy harvester. The energy harvesting is also taken int...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2016-07, Vol.65 (7), p.5788-5797
Main Authors: Rubio, Javier, Munoz, Olga, Pascual-Iserte, Antonio
Format: Article
Language:English
Subjects:
Backhaul capacity
Batteries
Battery
Comunicacions mòbils
Constraints
Energy harvesting
Enginyeria de la telecomunicació
Intelligent transportation systems
Interference
Linear programming
Mathematical analysis
MIMO
Optimization
Panels
Radiocomunicació i exploració electromagnètica
Recharging
Resource allocation
Resource management
Rural areas
Signal to noise ratio
Sistemes de transport intel·ligent
Stochastic optimization
Stochasticity
Strategy
Wireless communications
Àrees temàtiques de la UPC
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Description
Summary:We propose a novel stochastic radio-resource-allocation strategy that achieves long-term fairness considering backhaul and air-interface capacity limitations. The base station (BS) is powered only with a finite battery that is recharged by an energy harvester. The energy harvesting is also taken into account in the proposed resource-allocation strategy. The constrained scenario is often found in remote rural areas where the backhaul connection is limited, and the BSs are fed with solar panels of reduced size. Our results show that the proposed scheme achieves higher fairness among the users and provides greater worst user rate and sum rate if an average backhaul constraint is considered.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2015.2468061