Abstract
The deployment of heterogeneous networks (HetNets) inevitably demands the design of interference management techniques to elevate the overall network performance. This paper presents a novel interference mitigation technique known as reverse frequency allocation (RFA), which provides an efficient resource allocation compared with the other state-of-the-art techniques. RFA reverses the transmission direction of interferers, thereby minimizing the cross-tier interference. Eventually, better coverage as well as increased data rates are achieved by providing complementary spectrum to the macro and pico users. In this paper, we present a tractable approach for modeling HetNets under the proposed RFA scheme. Specifically, we employ well known tools from stochastic geometry to derive closed-form expressions for the coverage probability and rate coverage in two-tier cellular network employing RFA and its variants. The modeling is performed using two approaches; first, where the base stations and users are modeled as independent Poisson point processes (PPPs) and second, the interference is approximated using the fluid model. It is shown that the results obtained from the PPP model are accurate for higher values of path loss exponents, while the results from fluid model are useful for smaller values of path loss exponents. The plausibility of model is validated through the Monte-Carlo simulations and the network performance is evaluated in terms of coverage probability, coverage rate, and outage capacity. The results demonstrate that 2-RFA yields outage capacity gains of 13% as compared with the soft fractional frequency reuse scheme, whereas, the performance gains can be further improved by 14% by employing the proposed variants of RFA.
Highlights
Addressing the enormous growth of mobile traffic is one of the pivotal challenges for future wireless cellular networks
MATHEMATICAL MODELING OF 2-reverse frequency allocation (RFA) SCHEME we present analytical expressions for the coverage probabilities of DL pico user equipments (PUEs) in a heterogeneous two tier cellular network, i.e., pico cells are overlaid with macro cellular network
The location of the pico base stations (PBSs), PUEs and that of macro user equipments (MUEs) is assumed to be uniformly distributed, whereas the second case follows by modeling the locations of PBSs and MUEs as spatial Poisson point processes (PPPs)
Summary
Addressing the enormous growth of mobile traffic is one of the pivotal challenges for future wireless cellular networks. Dealing with the aggregate effect of interference from different tiers and from the cells of same tier while evaluating the signal-tointerference plus noise ratio (SINR) and throughput of the mobile users, increased complexity, self organization, backhauling and handover etc This stands as a necessity to consider for a pragmatic solution that minimizes these challenges and provides phenomenal boost in the data rates. A number of recent literature addressed the main issues of interference, limited resource availability and load balancing thereby, introducing the schemes that mitigate interference in heterogeneous cellular networks [13], improve capacity by using the spectrum resources efficiently [14] and by offloading the traffic towards SAPs [15], [16]. To mitigate the impact of interference, we present an efficient frequency allocation scheme in a two tier network that reverses the transmission direction of both tiers, thereby enhances the data rates of downlink users. There is a prominent reduction in the number of interfering entities in each region of a macro cell, whereas the detrimental impact of MBS interference is completely avoided
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