Distributed resource allocation for inter cell interference mitigation in irregular geometry multicell networks

Extensive increase in mobile broadband applications and proliferation of smart phones and gadgets require higher data rates of wireless cellular networks. However, limited frequency spectrum has led to aggressive frequency reuse to improve network capacity at the expense of increased Inter Cell Interference (ICI). Fractional Frequency Reuse (FFR) has been acknowledged as an effective ICI mitigation scheme but in irregular geometric multicellular network, ICI mitigation poses a very challenging issue. The thesis developed a decentralized ICI mitigation scheme to improve both spectral and energy efficiency in irregular geometric multicellular networks. ICI mitigation was realized through Distributed Resource Allocation (DRA) deployed at the cell level and region level of an irregular geometric cell. The irregular geometric cell consists of a minimum of four regions comprising three sectors and a central region. DRA at the cell level is defined as Multi Sector DRA (MSDRA), and at the region level is defined as Distributed Channel Selection and Power Allocation (DCSPA). MSDRA allocates discrete power to every region in a cell based on Game Theory and Regret Learning Process with correlated equilibrium as the optimum decision level. The DCSPA allocates power to every channel in a region based on non-coalesce liquid droplet phenomena by selecting optimum channels in a region and reserving appropriate power for the selected channels. The performance was evaluated through simulation in terms of data rate, spectral efficiency and energy efficiency. The results showed that MSDRA significantly improved cell data rate by 58.64% and 37.92% in comparision to Generalized FFR and Fractional Frequency Reuse-3 (FFR-3) schemes, respectively. The performance of MSDRA at the cell level showed that its spectral and energy efficiency improved 32% and 22%, respectively in comparison to FFR-3. When the number of sectors increased from three to four, data rate was improved by 30.26% and for three to six sectors, it was improved by 56.32%. The DCSPA further improved data rate by 41.07% when compared with Geometric Water Filling, and 86.46% in comparison to Asynchronous Iterative Water Filling. The DCSPA enhanced data rate achieved in MSDRA by 15.6%. Overall, DRA has shown to have significant improvement in data rate by 53.6%, and spectral efficiency by 38.10% as compared to FFR-3. As a conclusion, the DRA scheme is a potential candidate for Long Term Evaluation – Advanced, Fifth Generation networks and can be deployed in future heterogeneous irregular geometric multicellular Orthogonal Frequency Division Multiple Access networks

Status of Rural Women: Patriarchy and Inevitability of Subjugation; A Study of Rural Area in Multan, Pakistan

Women are oppressed in every walk of life but oppression may differ from place to place. Urban Rural divide has shown the different social structures for women. The present research was conducted with these objectives: to identify the status of women in rural settings, to analysis perception of society about social status of women, to explore the impact of Patriarchy on women in context of rural settings of Multan, Pakistan. Mix research methods were used to carry this research. Interviews were conducted from 100 married women, living in rural areas of Multan. A Focus Group Discussion was also conducted to address the research questions. The findings of the study suggest that women’s health, education and economic status is poor, whereas women’s status stems from patriarchy, the power and controlling structure where men dominates over women. This is patriarchy which maintains the women’s submissive role and it generates a structure which subjugates women of rural area. The study suggests that by expanding the canvas of formal economy, it may channelize the women’s low paid or unpaid work. This can help enhance women’s economic and social status in rural areas. Key Words: Patriarchy, Status of Women, Rural Women, Gender Inequalit

Stochastic geometry based dynamic fractional frequency reuse for OFDMA systems

Fractional Frequency Reuse (FFR) has been acknowledged as an efficient Interference Management (IM) technique, which offers significant capacity enhancement and improves cell edge coverage with low complexity of implementation. The performance of cellular system greatly depends on the spatial configuration of base stations (BSs). In literature, FFR has been analyzed mostly with cellular networks described by Hexagon Grid Model (HGM). HGM is neither tractable nor scalable to the dense deployment of next generation wireless networks. Moreover, the perfect geometry based HGM tends to overestimate the system's 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). PPP model provides complete randomness in terms of BS deployment, which captures the real network scenario. A dynamic FFR scheme is proposed in this article, which take into account the randomness of the cell coverage area described by Voronoi tessellation. It is shown that the proposed scheme outperforms the traditional fixed frequency allocation schemes in terms of capacity and capacity density

Voronoi Cell Geometry Based Dynamic Fractional Frequency Reuse for OFDMA Cellular Networks

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

M2M Communication in Virtual Sensor Network for SHAAL

Machine-to-Machine (M2M) communication has led to a new paradigm of Internet of Things (IoT). The future of M2M communication in smart home lies in the aggregation and allocation of resources and service provisioning of diverse applications using different radio technologies. M2M communication may operate on the virtual sensor network to provide independent applications running on heterogeneous network simultaneously. M2M is going to play a major role in the area of Smart Home and Ambient Assisted Living (SHAAL) providing assistance to the elderly people with smart sensors that monitor the home environment and provides aid health monitoring to human requiring medical assistance. The current state of the art frameworks are dedicated to specific applications with the support of single radio network with limited service provisioning options. However, in order to fully exploit the resources in this paper we present a service provisioning framework realization of M2M in virtual sensor network for SHAAL, which allows independent parties to work together in a secure and reliable manner. In addition to this, the framework is designed to include benefits of Service Oriented Architecture (SOA) and Resource Oriented Architecture (ROA) along with the use of different low power, low data rate protocols. A middleware is used as a platform to link the underlying virtual networks with various applications. The network virtualization approach is adopted to design an efficient middleware framework that can effectively discover and manage the underlying network resources and provide services at home gateway. The framework will be used as the basis for the development of the SHAAL networked system

Resource Allocation for Uplink M2M Communication: A Game Theory Approach

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

Resource allocation for uplink M2M communication in multi-tier network

Machine-to-Machine (M2M) communication in heterogeneous cellular networks (HCNs) is “ONE OF THE DRIVERS” for the future Internet of Things (IoT). Coverage areas of HCNs cells may vary and the capabilities to handle users may vary also. To support massive numbers of machines connected in uplink in HCNs, one of the challenging issues of M2M communication is the possibility of huge traffic that can cause overload problem for specific tier/tiers. Increase the capacity of the network and avoid overload condition for BSs, machines will need to be pushed to the less loaded BSs even they offered a lower instantaneous SINR than the nearest BS. To push the machine to less loaded BS, biasing is introduced to enhance the coverage of the machine or group of machines. This paper proposes the solution of resource allocation in uplink by using cooperative game theory approach by introducing a biasing factor to enhance the overall system performance with fair utilization of radio resources

PERFORMANCE EVALUATION OF RAKE RECEIVERS USING ULTRA WIDEBAND MULTIPATH CHANNELS

In this report, we derive the performance graphs for UWB communication systems using different combining techniques in a RAKE Receiver. Comparisons have also been made between the techniques and conclusions have been drawn based on the requirements. We also incorporate the effect of number of fingers on the performance of the receivers. The results obtained give us way to evaluate the performance of Rake reception of UWB signals in dense multipath channels. We present simulation results using IEEE 802.15.3a UWB channel models. We evaluate the performances of Rake Receivers with different pulse-widths and also the effect of inter-frame interference.+464623286

Fractional frequency reuse for irregular cell geometry OFDMA systems

Future cellular systems are targeting aggressive frequency reuse to meet the ever increasing demands for capacity and throughput. However, aggressive frequency reuse results in high inter cell interference (ICI) especially at the cell edges. Fractional Frequency Reuse (FFR) has recently emerged as an attractive interference management approach in OFDMA cellular systems. In literature, FFR is studied mostly for regular cell geometry models and very limited work exists for irregular cell geometry models. In this paper we investigate the performance of FFR for cellular network based on irregular cell geometry. Furthermore, full frequency reuse is achieved by sectoring the cell edge users. Applying regular sub-bands of equal size to the irregular sectors of the cell-edge region leads to suboptimal performance. Therefore, a low complexity FFR scheme with optimal sub-carrier allocation is proposed for multicellular network and the capacity of the system is evaluated. It is shown that the proposed FFR scheme outperform the conventional frequency allocation schemes in term of cell edge throughput

Resource allocation for M2M communication in heterogeneous network: coalitional game theory approach

The heterogeneous cellular network (HCN) is a promising technology to handle the rising number of devices due to their universal presence. This rising popularity HCN based Machine-to-Machine (M2M) communications is opening new opportunities and also bringing forth new system design issues. However, the main challenge of M2M communication is the possibility of huge traffic and significant difference in the nature of M2M traffic than the current commercial traffic for which current cellular network is designed and optimized. In this article, we investigate the uplink resource allocation problem of M2M devices (MDs) in the multiple Femto base station's coverage. We first model the uplink power and sub-carrier allocation in femtocells independently; Based on the cooperative game resource allocation among MDs is analyzed through non-transferable utility game to enhance the data rate performance with minimum utilization of power. Simulation results show that the resource allocation model based on cooperative game is able to provide a fair distribution of data rate compared with non-cooperative and greedy type of MDs