DESIGN AND EVALUATION OF QoS-AWARE RADIO RESOURCE ALLOCATION FOR 5G ULTRA-DENSE NETWORKS
ADEDOYIN M. A., SHOEWU O., OGUNLEWE A. O., MAKANJUOLA N.T.
ETRJ. Vol. 4(1), 20 March, 2019
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Abstract: Lately, the heterogeneous deployment of ultra-dense small cells such as femtocells in the coverage region of conventional macrocells, which is referred to as ultra-dense networks (UDNs) is an efficient solution to the problem of network capacity and indoor coverage in the fifth generation (5G) mobile networks. However, the main challenges associated with such solution are severe interference and inadequate quality-of-service (QoS) provisioning, due to the unplanned and the ultra-dense deployment of femtocells. Hence, efficient radio resource allocation (RRA) algorithms with self-organizing capabilities are crucial for interference mitigation and QoS provisioning in each femtocell. The majority of the RRA algorithms in the literature are not efficient for UDNs because they have not effectively addressed the afore-mentioned challenges. Therefore, in this paper, we design a QoS-aware RRA (QRRA) algorithm with consideration for imperfect spectrum sensing as well as users with heterogeneous services. The QRRA problem is formulated as a mixed integer non-linear programming problem and solved using the Lagrangian dual decomposition approach. Then, the performance of the designed QRRA algorithm is evaluated using MATLAB. Finally, the simulation results reveal that the proposed algorithm minimizes interference and satisfies the QoS of different users in terms of throughput with fast convergence when compared with other existing RRA algorithms.
