Abstract
AbstractA heterogeneous cloud radio access network with low power nodes has emerged as an attractive cost-effective solution to the problem of enormous growth in data over the cellular network. Ever-increasing low power nodes such as femtocells in macrocell’s coverage area for indoor communication cause severe cross-tier interference to the umbrella macrocell network. One of the promising paradigms to avoid this interference is cognitive radio-enabled heterogeneous cloud radio access network architecture. In this paper, two mechanisms, channel sensing and channel negotiation, for allocating channels to femtocell users have been proposed suitable for this architecture. After identifying an idle slot by channel sensing, a femtocell user requests the base station pool for free channel suggestions and senses the listed channels later. Femtocell user equipment does not wait for the next slot to sense another channel on identifying an occupied channel in a slot. Two and three types of error in sensing and negotiation, respectively, have been defined. Poisson traffic model is developed for generating macrouser traffic. Throughput has been analyzed by varying macrouser arrival rate, the number of femtocell users, the average service time of macrouser, and sensing time considering the errors in sensing and negotiation mechanisms. Simulation results have shown that the maximum throughput for error-free sensing and negotiation in case of low macrouser traffic is 27 Mbps. A difference of 10 Mbps between maximum throughput without any error and throughput with sensing and negotiation errors is also observed.KeywordsHeterogeneous cloud networkFemtocell userCross-tier interferenceCognitive radioSensing and negotiation errorsThroughput analysis
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