85 research outputs found

    Cognitive-Empowered Femtocells: An Intelligent Paradigm of a Robust and Efficient Media Access

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    Driven by both the need for ubiquitous wireless services and the stringent strain on radio spectrum faced in today's wireless communications, cognitive radio (CR) have been investigated as a promising solution to deploy Wireless Regional Area Networks (WRANs) for an efficient spectrum utilization. Communication devices with CR capabilities are able to access spectrum bands licensed for other wireless services in an opportunistic and secondary fashion, while preventing harmful interference to incumbent licensed services. However, a lesson learned from early experiences in developing such macro-cellular networks is that it becomes increasingly less economically viable to develop CR macrocellular infrastructures for increasing data rates in both line-of-sight as well as non-line-of-sight situation of WRAN, and the corresponding quality of service (QoS) in macrocellular networks is also noticeably degraded due to path loss, shadowing, and multipath fading due to wall penetration. Moreover, there are several challenges to make the real-world CR enabling dynamic spectrum access a difficult problem to implement without harmful interference. First, the hardware design of cognitive radio on the physical layer involves the tuning over a broad range of spectrum to detect a weak signal in a dynamic environment of fading channels, which in turn makes identification of the spectrum opportunities hard to achieve in an efficient and accurate manner. Second, opportunistic media access based on imperfect spectrum usage information obtain from physical layer brings up undesirable interference issue, as well as reliability issues introduced by mutual interference. Third, the curial issue is to determine which channels to use for data transmissions in presence of the dynamic and opportunistic nature of wireless environments, in the case where pre-defined dedicated control channel is not available in the complex and heterogenous networks. In this dissertation, a novel framework called Cognitive-Empowered Femtocell (CEF), which combines CR techniques with femtocell networking, is introduced to tackle these challenges and achieve better spectrum reuse, lower interference, easy integration, wider network coverage, as well as fast and cost effective early stage WRAN. In this framework, a sensing coordination scheme is proposed to gracefully unshackles the master/slave relationship between central controllers and end users, while maintaining order and coordination such that better sensing precision and efficiency can be achieved. As such, the network intelligence can be expanded from controlling the intelligence paradigm to better understand the satisfy wireless user needs. We also discuss design and deployment aspects such as sensing with reasoning approach, gossip-enabled stochastic media access without a dedicated control channel, all of which are important to the success of the CEF framework. We illustrate that such a framework allows wireless users to intelligently capture spectrum opportunities while mitigating interference to other users, as well as improving the network capacity. Performance analysis and simulations were conducted based on these techniques to provide insight on the future direction of interference suppression for dynamic spectrum access

    Detecting the Presence of a Proximate Cellular User through Distributed Femtocell Sensing

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    The current cellular industry is undergoing a huge paradigm shift from an old homogeneous one-tier network structure to a new heterogeneous two-tier structure with joint deployment of traditional macrocell base stations along with a relatively new small cell base stations, widely known as femtocells. Femtocells are low-powered, low-cost, user-deployed base stations meant to improve poor network coverage and, thereby, increase overall system capacity. As more and more femtocells are deployed, their spectrum usage and resulting interference become non-negligible. While using different operating frequency for femtocells is indeed possible, a co-channel deploy- ment of these will increase spectral efficiency, a much sought design by cellular opera- tors. In this thesis, a femtocell-based scheme is considered as a prospective means to enhance the performance of the current cellular infrastructure. In the adopted frame- work, the femtocell access point is tasked with connecting local femtocell users to the network operator without creating undue interference to cellular users. As such, the femtocell is required to cease communication when a nearby cellular user is present to prevent interference. In the envisioned paradigm, an access point possesses little information about the parent cellular base station. For instance, it may not know the individual channel gains, user locations or frequency allocations. To achieve this goal, femtocell users collectively act as sensing devices and are used to acquire data about local signal strength. This work shows that, despite having little knowledge of the operation of the macro environment, a femtocell can take advantage of the data provided by the acquisition devices and agility of the re-configurable antenna to gain insight about proximate cellular devices. The proposed inference scheme leads to a significant performance gain over oblivious femtocells. Experimental results are provided to support this study and its conclusions
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