  Proportional Fair (PF) is a scheduling technique to maintain a balance
between maximizing throughput and ensuring fairness to users. Dual Connectivity
(DC) technique was introduced by the 3rd Generation Partnership Project (3GPP)
to improve the mobility robustness and system capacity in heterogeneous
networks. In this paper, we demonstrate the utility of DC in improving
proportional fairness in the system. We propose a low complexity centralized PF
scheduling scheme for DC and show that it outperforms the standard PF
scheduling scheme. Since the problem of dual association of users for
maximizing proportional fairness in the system is NP-hard, we propose three
heuristic user association schemes for DC. We demonstrate that DC, along with
the proposed PF scheme, gives remarkable gains on PF utility over single
connectivity and performs almost close to the optimal PF scheme in
heterogeneous networks.
