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Relay deployment in Orthogonal Frequency Division Multiple Access (OFDMA) based cellular networks helps in coverage extension and/or capacity improvement. To quantify capacity improvement, blocking probability of voice traffic is typically calculated using Erlang B formula. This calculation is based on the assumption that all users require same amount of(More)
We consider the problem of UpLink (UL) scheduling in relay-assisted Long Term Evolution (LTE) networks and propose a Buffer-based Channel dependent Scheduler (BCS) for the same. Our objectives are to minimize packet loss due to buffer overflow and increase resource utilization efficiency while ensuring fairness among users. This is achieved by utilizing the(More)
In a multi-cell scenario, the inter-cell interference (ICI) is detrimental in achieving the intended system performance, in particular for the edge users. There is paucity of work available in literature on ICI coordination (ICIC) for relay-assisted cellular networks (RACN). In this paper, we do a survey on the ICIC schemes in cellular networks and RACN. We(More)
In a multi-cell scenario, the inter-cell interference (ICI) is detrimental in achieving the intended system performance, in particular for the edge users. There is paucity of work available in literature on ICI coordination (ICIC) for relay-assisted cellular networks (RACN). In this paper, we do a survey on the ICIC schemes in cellular networks and RACN. We(More)
This paper investigates the radio resource management (RRM) issues in a heterogeneous macro-femto network. The objective of femto deployment is to improve coverage, capacity, and experienced quality of service of indoor users. The location and density of user-deployed femtos is not known a-priori. This makes interference management crucial. In particular,(More)
Mobility management, in heterogeneous cellular deployments, has become more complex due to the proliferation of small cells, resulting in increased number of cell crossings. In addition, user mobility impacts the HandOver (HO) performance and therefore, mobility state of the user needs to be taken into account in the HO parameter selection. The Mobility(More)
Decision tree is a dominating method of pattern classification. These trees amongst the machine learning techniques have an aptitude to handle and construe logical rules of classification. The general Decision trees face the problem on deciding boundaries in classification. A fuzzy supervised learning in Quest (SLIQ) decision tree (FS-DT) algorithm aimed at(More)