Future Cellular Systems are aiming aggressive frequency reuse in response to the exponential increase in the data traffic demand. The system capacity boosted accordingly, however, at the expense of increased Inter Cell Interference (ICI). Fractional Frequency Reuse (FFR) is an effective ICI mitigation approach, however, mostly analyzed with regular geometry model in literature. In this paper, Irregular Geometry based Sectored-FFR (IGS-FFR) scheme is proposed for ICI mitigation in the realistic irregular geometry cellular networks. The proposed scheme realize full frequency utilization by dynamic spectrum partition while considering heterogeneous traffic demand. Moreover, the performance of high order sectoring in the cell edge region is investigated. It is shown that the proposed IGS-FFR scheme outperform the existing approaches in terms of achievable throughput, average sum rate and user satisfaction while considering full traffic load.

In this paper, we analyze various spatial channel measurements using their second order statistics like level crossing rate, average fade duration, auto covariance and coherence distance. Occurrence rates of the angle of arrival in considering macro, micro and Pico cellular environment are used for the analysis. Effect of directional antennas employed at the base station and mobile station on second order statistics is also analyzed. We also present the quantative analysis of the measurements using multipath shape factors i.e. angle spread, the angular constriction and direction of maximum fading. Effect of increasing Doppler spread on the LCR and AFD is also elaborated in detail.Index Terms-Angle of arrival, multipath shape factors, spatial measurements, Level crossing rates, Average fade durations.

Abstract-Machine-to-Machine (M2M) communication in cellular network is the driver for the future Internet of Things (IoT). The main challenge of M2M communication is the possibility of huge traffic in the uplink network that can cause problem in the network. This paper considers the problem of resource allocation among machines connecting in uplink to different femto base stations (FBSs). Resource allocation problem is analyzed through both non-cooperative and cooperative game to maximize their data rate and minimize utilization of power. Numerical result shows that by adapting non-cooperative game, all machines are getting data rate as per Nash Equilibrium (NE) or either they can set their strategy to maximize their data rate selfishly. On the other hand for coalitional game theory approach machines who participate in game are getting fair resource allocations.

Cloud Computing (CC) is a promising technology due to its pervasive features, such as online storage, high scalability, and seamless accessibility, in that it plays an important role in reduction of the capital cost and workforce, which attracts organizations to conduct their businesses and financial activities over the cloud. Even though CC is a great innovation in the aspect of computing with ease of access, it also has some drawbacks. With the increase of cloud usage, security issues are proportional to the increase. To address these, there has been much work done in this domain, whereas research work considering the growing constrained applications provided by the Internet of Things (IoT) and smart city networks are still lacking. In this survey, we provide a comprehensive security analysis of CC-enabled IoT and present state-of-the-art in the research area. Finally, future research work and possible areas of implementation and consideration are given to discuss open issues.

Abstract-Interference Management (1M) is one of the major challenges of next generation wireless communication. Fractional Frequency Reuse (FFR) has been acknowledged as an efficient 1M technique, which offers significant capacity enhancement and improve cell edge coverage with low complexity. In literature, FFR has been analyzed mostly with cellular networks described by Hexagon Grid Model, which is neither tractable nor scalable to the dense deployment of next generation wireless networks.Moreover, the perfect geometry based grid model tends to overestimate the system performance and not able to reflect the reality. In this paper, we use the stochastic geometry approach, FFR is analyzed with cellular network modeled by homogeneous Poisson Point Process (PPP). A dynamic frequency allocation scheme is proposed which take into account the randomness of the cell coverage area describe by Voronoi tessellation. It is shown that the proposed scheme outperforms the traditional fixed frequency allocation schemes in terms of per user capacity and capacity density.