Overview of interference management techniques in Femtocell networks : challenges and approach.

The most important use of techniques for the new technology network called femtocell, is to improve coverage and enhance capacity in mobile network. However, the deployment of femtocell over macrocell network has a new technology has attracted benefits in telecommunication industry. Several technical challenges toward the mass deployment of these new technology called femtocell have been addressed in industry. Interference mitigation between femtocell and macrocell, and among the neighboring femtocell user, is considered to be one of the major issues in femtocell networks due to sharing the same licensed frequency spectrum with macrocell. In this paper, we provide different techniques schemes for interference mitigation and general view for the efficiency of interference management techniques in femtocell network

Characterizing The SINR in Poisson Network Using Factorial Moment

Usually, cellular networks are modeled by placingeach tier (e.g macro, pico and relay nodes) deterministicallyon a grid. When calculating the metric performances suchas coverage probability, these networks are idealized for notconsidering the interference. Overcoming such limitation byrealistic models is much appreciated. This paper considered two-tier two-hop cellular network, each tier is consisting of two-hoprelay transmission, relay nodes are relaying the message to theusers that are in the cell edge. In addition, the locations of therelays, base stations (BSs), and users nodes are modeled as a pointprocess on the plane to study the two hop downlink performance.Then, we obtain a tractable model for the k-coverage probabilityfor the heterogeneous network consisting of the two-tier network.Stochastic geometry and point process theory have deployed toinvestigate the proposed two-hop scheme. The obtained resultsdemonstrate the effectiveness and analytical tractability to studythe heterogeneous performance

Characterizing The SINR in Poisson Network Using Factorial Moment

Usually, cellular networks are modeled by placingeach tier (e.g macro, pico and relay nodes) deterministicallyon a grid. When calculating the metric performances suchas coverage probability, these networks are idealized for notconsidering the interference. Overcoming such limitation byrealistic models is much appreciated. This paper considered two-tier two-hop cellular network, each tier is consisting of two-hoprelay transmission, relay nodes are relaying the message to theusers that are in the cell edge. In addition, the locations of therelays, base stations (BSs), and users nodes are modeled as a pointprocess on the plane to study the two hop downlink performance.Then, we obtain a tractable model for the k-coverage probabilityfor the heterogeneous network consisting of the two-tier network.Stochastic geometry and point process theory have deployed toinvestigate the proposed two-hop scheme. The obtained resultsdemonstrate the effectiveness and analytical tractability to studythe heterogeneous performance

Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach

This paper investigates the price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell. Assuming that the macrocell base station (MBS) protects itself by pricing the interference from the femtocell users, a Stackelberg game is formulated to study the joint utility maximization of the macrocell and the femtocells subject to a maximum tolerable interference power constraint at the MBS. Especially, two practical femtocell channel models: sparsely deployed scenario for rural areas and densely deployed scenario for urban areas, are investigated. For each scenario, two pricing schemes: uniform pricing and non-uniform pricing, are proposed. Then, the Stackelberg equilibriums for these proposed games are studied, and an effective distributed interference price bargaining algorithm with guaranteed convergence is proposed for the uniform-pricing case. Finally, numerical examples are presented to verify the proposed studies. It is shown that the proposed algorithms are effective in resource allocation and macrocell protection requiring minimal network overhead for spectrum-sharing-based two-tier femtocell networks.Comment: 27 pages, 7 figures, Submitted to JSA

Improving fractional frequency reuse (FFR) for interference mitigation in Multi-tier 4G wireless networks

Includes bibliography.The need to provide quality indoor coverage for mobile network users in an indoor environment has become paramount to communication service providers (CSPs). Femto-cells due to their low capital expenditure (CAPEX) and operating expenditure (OPEX) have seen widespread adoption as a possible solution to the indoor coverage challenge. The major drawback of its adoption is the possibility of erratic but significant interference to both the Femto-cell and the Macro-cell tiers owing to their Ad-hoc mode of deployment. The Fractional Frequency Reuse (FFR) is an interference mitigation scheme, due to its effectiveness and low complexity; it has been proposed to be an efficient technique of solving the problem of interference in the cross-boundary region. In this study, a critical analysis of the existing schemes revealed that Femto-cell users at the border between the cell centre region (CCR) and the cell edge region (CER) suffer cross-boundary interference. An algorithm that integrates a buffer zone between the existing CCR and CER has been developed to solve the cross-boundary interference challenge experienced by the Femto-cell users. A system level simulation implemented in MATLAB was used to evaluate the developed algorithm. The network performance (in terms of user-achieved signal-to-interference-plus-noise ratio (SINR) and its daughter metrics such as channel capacity and throughput) was estimated. In terms of the SINR, the performance improvement recorded for Femto-cell users at the border region after the implementation of the buffer zone was more than eighty per cent (80%). There were significant improvements in terms of the channel capacity and throughput for the Femto-users present at the buffer region with the implementation of the developed algorithm

Localization and mobility management in heterogeneous wireless networks with network-assistance

The nowadays heterogeneous wireless network (HWN) is a collection of ubiquitous wireless networking elements (WNEs) that support diverse functional capabilities and networking purposes. In such a heterogeneous networking environment, localization and mobility management will play a key role for the seamless support of emerging applications, such as social networking, massive multiplayer online gaming, device-todevice (D2D) communications, smart metering, first-responder communications, and unsupervised navigation of communication-aware robotic nodes. Since most of the existing wireless networking technologies enable the WNEs to assess their current radio status and directly (or indirectly) estimate their relative distance and angle with respect to other WNEs of the same Radio Access Technology (RAT), the integration of such information from the ubiquitous WNEs arises as a natural solution for robustly handling localization between (not necessarily homogeneous) WNEs and mobility management of moving WNEs governed by resource-constrained operation. Under the viewpoint of investigating how the utilization of such spatial information can be used to enhance the performance of localization and mobility management in the nowadays HWN, in this work we focus and contribute in the following four research areas: i) localization and peer-discovery between non-homogeneous WNEs, ii) network-assisted D2D discovery in cellular networks, iii) energy-efficient handover (HO) decision in the macrocell – femtocell network, and iv) network-assisted vertical handover decision (VHO) for the integrated cellular and WLAN heterogeneous wireless network