This paper proposes a resource allocation technique for distributed and uncoordinated femtocell networks. We focus on enhancing the Quality of Service (QoS) and throughput by relying only on feedback from the base-station's (BS) users in addition to locally estimated information from the surrounding environment. A novel algorithm is developed to analyze the uplink (UL) interference in order to estimate the number of neighboring users in the vicinity of a femtocell without requiring any information exchange with a central unit or neighboring femtocells. The downlink inter-cell interference is reduced by utilizing the variability in the interference conditions of femtocells and restricting the resource usage of individual cells based on the detected nearby users. The performance of the algorithm is evaluated and compared with state-of-art techniques and benchmarks. The simulation results show that the proposed scheme outperforms other techniques and can provide an improvement in the QoS and overall performance. and overall performance.
['Aysha Ebrahim', 'Emad Alsusa', 'Mohammed W. Baidas']
An uncoordinated frequency allocation scheme for future femtocell networks