A Distributed Coverage Adjustment Algorithm for Femtocell Networks

Abstract

In two-tier femtocell networks, adjusting the transmission powers of femtocell base stations such that indoor users receive high signal quality while limiting leakage to outdoor users, is an important problem. This paper proposes a novel distributed and self optimized power adjustment algorithm for two-tier femtocell networks, in which a base station adjusts the transmission power based on the signal quality of neighboring base stations. Achieving fairness among users with minimal information exchange is aimed. There are no predefined target parameters used to adjust transmission power, contrary to existing approaches in the literature. The convergence properties of the algorithm under fixed and time varying communication infrastructures are investigated. The performance is further verified by simulations and comparisons to other algorithms for the coverage problem.

Power and Radio Resource Management in Femtocell Networks for Interference Mitigation

“…It aimed to support the self-organization network (SON) approach. In [ 33 ], the femtocell coverage would be controlled based on the received signals’ quality, which would be received from adjacent femtocells. The goal was to achieve a high level of fairness among UEs while exchanging less information.…”

Deep Learning-Based Average Consensus

“…The distributed agreement problem for networks, which is often referred to as the consensus problem [1], is an important problem in network science and engineering with applications in load balancing [2], data fusion [3], multiagent coordination [4], distributed computing [5], distributed sensor networks [6], wireless communication systems [7], and power systems [8]. Recently, this problem has also appeared in online machine learning procedures for processing big data (see [9], [10] and the references therein).…”

Higher-order cluster consensus of a multi-agent network with continuous-time dynamics

“…In networked systems, the distributed coordination problem has received increasing attention of researchers due to its broad applicability in real world systems such as social networks, formation of unmanned vehicles, autonomous mobile robots, cooperative control of spacecrafts and wireless resource management (Akar and Shorten, 2008; Jadbabaie et al, 2003; Olfati-Saber and Murray, 2004; Ren and Beard, 2005; Senel and Akar, 2017a, 2017b). There exists a vast amount of studies on the traditional coordination problem, namely the complete consensus problem , which is convergence of all members of a multi-agent network to a common final value over time.…”