Abstract
This paper investigates data traffic offloading by considering a third-party cognitive small cell with wireless powered user equipments (UEs) providing data traffic offloading service to a primary macrocell. The cognitive small cell is assumed to use remaining resources for its own purpose provided that the quality of service (QoS) of the primary macrocell is satisfied. It is assumed that the small cell UEs (SUEs) are wirelessly powered and can harvest energy from the RF signals transmitted by the macrocell UEs (MUEs) as well as the RF signals transmitted by the small cell BS (SBS). Under the assumption that the successive interference cancellation (SIC) decoder is available or not available at the SBS, iterative optimization-based data traffic offloading schemes are proposed to maximize the SUE sum rate provided that the required minimum MUE sum rate is satisfied. It is shown that the proposed data traffic offloading schemes are effective in improving the performance of the MUEs and providing transmission opportunities for the wireless powered SUEs.
Highlights
Data traffic offloading is an effective way to address the network overloading issue for overloaded cellular networks due to unprecedented increase in data traffic [1]
We show that the proposed data traffic offloading schemes are effective in improving the performance of the macrocell UEs (MUEs) and providing transmission opportunities for the small cell UEs (SUEs)
7 Conclusions We consider a third-party cognitive small cell with wireless powered SUEs that processes data traffic offloaded from a primary macrocell
Summary
How to optimize time allocation between energy harvesting and data transmission, how to determine which primary UEs are offloaded to the CR network, and how to control the transmit powers of the secondary UEs and the primary UEs remain unknown This motivates the work in this paper. With or without SIC decoder at the SBS, we aim to optimize data traffic offloading, time, and power allocation for maximizing the SUE sum rate under the constraint that the required minimum MUE sum rate is achieved. We consider a secondary small cell with wireless powered SUEs to provide data traffic offloading service to MUEs in a primary macrocell and formulate the problem of optimizing data traffic offloading, time, and power allocation for maximizing the SUE sum rate under the required minimum MUE sum rate.
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