An increasing demand for high data rate services has been seen since a couple of decades. A recent idea introduced for increasing the performance and coverage of broadband wireless access (BWA) networks is femtocell networks. These are short range wireless access devices capable of providing better indoor coverage and quality. However once they are deployed in conjunction with the macrocell infrastructure, the application of smart resource allocation mechanism in resulting environment becomes more challenging. This motivates researchers to design and develop novel algorithms that guarantee high quality of service (QoS) at the end user under limited spectrum resources. It means to allocate power, subcarrier, and other resources optimally to minimize interference and outage probability, while maximizing spectral efficiency.
Meanwhile designed algorithms should have less complexity so that they can run efficiently while occupying minimum hardware resources. The following research venture proposes some approaches and shows their real significance for improved resource allocation among femtocells. Initially a step towards achieving self-configurability in femtocell networks has been taken through which they can follow a decision making mechanism for adjusting their transmission power and coverage area to enhance end users capacity. An adaptive downlink (DL) coverage management algorithm is proposed and evaluated using simulation results which illustrate improved coverage advantages. Furthermore we have shown a road map to extend the resulting algorithm for adaptive mode selection by femtocell, through which a femtocell can itself choose its appropriate mode to optimize the performance of overall two-tier macro-femtocell network. Our solution illustrates how self-configurable characteristics can be incorporated in femtocells. Hence theycan get better resource allocation and enhanced coverage advantages which eventually lead to better results in terms of signal to interference plus noise ratio (SINR), spectral efficiency and the outage probability of end users. Next an iterative joint subcarrier and power allocation strategy is described in femtocell network named as distributed joint resource allocation (DJRA) scheme. Our proposed approach iteratively updates power such that all parameters achieve their ideal values in the given environment thus yielding optimal capacity results for each individual femtocell. Finally, this dissertation provides excellent solutions for key challenges in the practical deployment of femtocells by proposing adaptive and decentralized interference mitigation techniques which can be easily used in future.