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IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES 

On the Feasibility of Full-Duplex Relaying in Multiple-Antenna Cellular Networks

Abstract—

In this paper, we perform a system-level feasibility analysis of full-duplex (FD) relay-aided cellular networks that are equipped with multiple antennas at the base stations (BSs) and relay nodes (RNs). The aim is to understand whether FD relaying is capable of enhancing the rate of cellular networks. With the aid of tools from stochastic geometry, we develop a tractable approach for computing the percentile rate, which
allows us to gain insights on the impact of FD relaying for both cell-edge and cell-median mobile terminals (MTs) subject to network interference. Contrary to previous works that do not take into account the network interference, the framework reveals that even in the absence of self interference at the FD RNs a network with half-duplex (HD) RNs can outperform its FD counterpart for a moderate number of antennas at the BSs and RNs. On the other hand, the FD-based network can substantially outperform both the HD-based one and the one without RNs for a sufficiently large number of antennas at the BSs and RNs and substantially small self-interference power effect at the RNs. Finally, the aforementioned analytical insights are validated by
means of Monte Carlo simulations. 


CONTACT:
GANESAN.P
+91 9865862045
+91  8903410319
1519112607
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES On the Feasibility of Full-Duplex Relaying in Multiple-Antenna Cellular Networks Abstract— In this paper, we perform a system-level feasibility analysis of full-duplex (FD) relay-aided cellular networks that are equipped with multiple antennas at the base stations (BSs) and relay nodes (RNs). The aim is to understand whether FD relaying is capable of enhancing the rate of cellular networks. With the aid of tools from stochastic geometry, we develop a tractable approach for computing the percentile rate, which allows us to gain insights on the impact of FD relaying for both cell-edge and cell-median mobile terminals (MTs) subject to network interference. Contrary to previous works that do not take into account the network interference, the framework reveals that even in the absence of self interference at the FD RNs a network with half-duplex (HD) RNs can outperform its FD counterpart for a moderate number of antennas at the BSs and RNs. On the other hand, the FD-based network can substantially outperform both the HD-based one and the one without RNs for a sufficiently large number of antennas at the BSs and RNs and substantially small self-interference power effect at the RNs. Finally, the aforementioned analytical insights are validated by means of Monte Carlo simulations. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES 

Mobile Demand Profiling for Cellular Cognitive Networking

Abstract—

In the next few years, mobile networks will undergo significant evolutions in order to accommodate the ever-growing load generated by increasingly pervasive smartphones and connected objects. Among those evolutions, cognitive networking upholds a more dynamic management of network resources that adapts to the significant spatiotemporal fluctuations of the mobile demand. Cognitive networking techniques root in the capability of mining large amounts of mobile traffic data collected in the network, so as to understand the current resource utilization in an automated manner. In this paper, we take a first step towards cellular cognitive networks by proposing a framework that analyzes mobile operator data, builds profiles of the typical demand, and identifies unusual situations in network-wide usages. We evaluate our framework on two real-world mobile traffic datasets, and show how it extracts from these a limited number of meaningful mobile demand profiles. In addition, the proposed framework singles out a large number of outlying behaviors in both case studies, which are mapped to social events or technical issues in the network.


CONTACT:

GANESAN.P

+91  9865862045
+91  8903410319
1518590084
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES Mobile Demand Profiling for Cellular Cognitive Networking Abstract— In the next few years, mobile networks will undergo significant evolutions in order to accommodate the ever-growing load generated by increasingly pervasive smartphones and connected objects. Among those evolutions, cognitive networking upholds a more dynamic management of network resources that adapts to the significant spatiotemporal fluctuations of the mobile demand. Cognitive networking techniques root in the capability of mining large amounts of mobile traffic data collected in the network, so as to understand the current resource utilization in an automated manner. In this paper, we take a first step towards cellular cognitive networks by proposing a framework that analyzes mobile operator data, builds profiles of the typical demand, and identifies unusual situations in network-wide usages. We evaluate our framework on two real-world mobile traffic datasets, and show how it extracts from these a limited number of meaningful mobile demand profiles. In addition, the proposed framework singles out a large number of outlying behaviors in both case studies, which are mapped to social events or technical issues in the network. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES 

GreenCoMP Energy-Aware Cooperation for Green Cellular Networks

Abstract—

Switching off base stations (BSs) is an effective and efficient energy-saving solution for green cellular networks. The previous works focus mainly on when to switch off BSs without sacrificing the traffic demands of current active users, and then enlarge the coverage of the stay-on cells to cover as much more users as possible. Based on this objective, both constant power and transmission power of each BS become the major energy consumption sources. However, the transmission powers of enlarged cells, which have not been taken into account in previous research, are not negligible as compared to other energy consumption sources. To tackle this problem, we observe that the transmission power of one specific BS could be reduced via cooperation among two or more BSs, which is typically used to improve the throughput or enhance the spectrum efficiency in wireless systems. The challenges come mainly from how to jointly consider which BSs to switch off and how to cooperate among active-mode BSs. In this paper, we design energy-aware cooperation strategies that ensure that our system is energy-saving while satisfying user demands. To cope with sleep-mode BSs and perform cooperation among active BSs, we formulate this problem as a binary integer programming problem, and prove it is NP-hard. Based on our formulation, we derive a performance lower bound for this problem via Lagrangian Relaxation with search enumeration. Furthermore, we propose two heuristic algorithms accounting for the properties of energy savings and the constraints of bandwidth resources. The simulation results show that our algorithms outperform pure power control mechanisms that do not consider the transmission power and pure cooperation without power control in terms of the total consumed energy. We also observe that larger cooperative size does not imply a better strategy under different scenarios. Compared to the total consumed energy given that all BSs are turned on, our algorithms can save up to 60% of energy. This demonstrates that our methods are indeed efficient energy-saving cooperation strategies for green cellular networks.


CONTACT:

GANESAN.P

+91  9865862045
+91  8903410319
1518168457
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES GreenCoMP Energy-Aware Cooperation for Green Cellular Networks Abstract— Switching off base stations (BSs) is an effective and efficient energy-saving solution for green cellular networks. The previous works focus mainly on when to switch off BSs without sacrificing the traffic demands of current active users, and then enlarge the coverage of the stay-on cells to cover as much more users as possible. Based on this objective, both constant power and transmission power of each BS become the major energy consumption sources. However, the transmission powers of enlarged cells, which have not been taken into account in previous research, are not negligible as compared to other energy consumption sources. To tackle this problem, we observe that the transmission power of one specific BS could be reduced via cooperation among two or more BSs, which is typically used to improve the throughput or enhance the spectrum efficiency in wireless systems. The challenges come mainly from how to jointly consider which BSs to switch off and how to cooperate among active-mode BSs. In this paper, we design energy-aware cooperation strategies that ensure that our system is energy-saving while satisfying user demands. To cope with sleep-mode BSs and perform cooperation among active BSs, we formulate this problem as a binary integer programming problem, and prove it is NP-hard. Based on our formulation, we derive a performance lower bound for this problem via Lagrangian Relaxation with search enumeration. Furthermore, we propose two heuristic algorithms accounting for the properties of energy savings and the constraints of bandwidth resources. The simulation results show that our algorithms outperform pure power control mechanisms that do not consider the transmission power and pure cooperation without power control in terms of the total consumed energy. We also observe that larger cooperative size does not imply a better strategy under different scenarios. Compared to the total consumed energy given that all BSs are turned on, our algorithms can save up to 60% of energy. This demonstrates that our methods are indeed efficient energy-saving cooperation strategies for green cellular networks. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES 

Load Balanced Coverage with Graded Node Deployment in Wireless Sensor Networks

Abstract—

In this paper, to gather streams of data in static wireless sensor networks, a novel graded node deployment strategy is proposed that generates minimum traffic, just sufficient for coverage. Based on this node distribution, a distributed, nearly load balanced data gathering algorithm is developed to deliver packets to the sink node via minimum-hop paths that also in turn helps to limit the network traffic. An average case probabilistic analysis is done based on perfect matching of random bipartite graphs to establish a theoretical lower bound on the number of nodes to be deployed. Analysis and simulation studies show that the proposed model results huge enhancement in network lifetime that significantly overrides the cost due to over deployment. Hence, this technique offers an excellent cost-effective and energy-efficient solution for node deployment and routing in large wireless sensor networks to operate with prolonged lifetime.


CONTACT:

GANESAN.P
+91  9865862045
+91  8903410319
1518589668
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES Load Balanced Coverage with Graded Node Deployment in Wireless Sensor Networks Abstract— In this paper, to gather streams of data in static wireless sensor networks, a novel graded node deployment strategy is proposed that generates minimum traffic, just sufficient for coverage. Based on this node distribution, a distributed, nearly load balanced data gathering algorithm is developed to deliver packets to the sink node via minimum-hop paths that also in turn helps to limit the network traffic. An average case probabilistic analysis is done based on perfect matching of random bipartite graphs to establish a theoretical lower bound on the number of nodes to be deployed. Analysis and simulation studies show that the proposed model results huge enhancement in network lifetime that significantly overrides the cost due to over deployment. Hence, this technique offers an excellent cost-effective and energy-efficient solution for node deployment and routing in large wireless sensor networks to operate with prolonged lifetime. CONTACT: GANESAN.P +91 9865862045 +91 8903410319
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES 


Mobile Multi-Source High Quality Multimedia Delivery Scheme

Abstract—

Increasing amount of multimedia content is being delivered over heterogeneous networks to diverse user types, holding various devices, many of them mobile. Mobile devices such as smartphones and tablets have already become both consumers and sources of multimedia content, but the delivery quality varies widely, especially due to their users’ mobility. In order to support increasing the quality of the multimedia content delivered to a growing number of mobile users, this paper introduces a mobile multi-source high quality multimedia
delivery scheme (M3QD). M3QD supports efficient high quality multimedia content delivery to mobile users from multiple sources. Both simulations and prototyping-based perceptual tests show how increased user perceived video quality and improved mobility support is achieved when using M3QD in comparison with the case when a single source classic approach is employed. M3QD can be used in various scenarios involving multimedia content distribution between mobile users in leisure parks or around tourist attractions, content exchange between vehicles on urban roads and even information delivery in industrial applications, where content has to be shared between large number or diverse mobile users.


CONTACT:

GANESAN.P
+91  9865862045
+91  8903410319
1518590265
IEEE 2017 - 18 MOBILE COMPUTING PROJECT TITLES Mobile Multi-Source High Quality Multimedia Delivery Scheme Abstract— Increasing amount of multimedia content is being delivered over heterogeneous networks to diverse user types, holding various devices, many of them mobile. Mobile devices such as smartphones and tablets have already become both consumers and sources of multimedia content, but the delivery quality varies widely, especially due to their users’ mobility. In order to support increasing the quality of the multimedia content delivered to a growing number of mobile users, this paper introduces a mobile multi-source high quality multimedia delivery scheme (M3QD). M3QD supports efficient high quality multimedia content delivery to mobile users from multiple sources. Both simulations and prototyping-based perceptual tests show how increased user perceived video quality and improved mobility support is achieved when using M3QD in comparison with the case when a single source classic approach is employed. M3QD can be used in various scenarios involving multimedia content distribution between mobile users in leisure parks or around tourist attractions, content exchange between vehicles on urban roads and even information delivery in industrial applications, where content has to be shared between large number or diverse mobile users. CONTACT: GANESAN.P +91 9865862045 +91 8903410319

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