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Resource Allocation and Design Issues in Wireless Systems

Aggarwal, Rohit

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2012, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
Present wireless communication systems are required to support a variety of high-speed data communication services for its users, such as video streaming and cloud-based services. As the users' demands for such services grow, more efficient wireless systems need to be designed that can support high-speed data and, at the same time, serve the users in a fair manner. One method to achieve this is by using efficient resource allocation schemes at the transmitters of wireless communication systems. Here, the term ``resources'' refers to the fundamental physical and network-layer quantities that limit the amount of data that can be transmitted over a communication link, such as available bandwidth and power. With the above fact in mind, we study, in this dissertation, physical and network-layer resource allocation problems in three different communication systems, and propose various optimal and sub-optimal solutions. First, we consider point-to-point links and propose greedy low and high-complexity rate-assignment schemes using degraded feedback (ACK/NAK) to maximize goodput of the system. Here, goodput is defined as the amount of data that a transmitter can send to the receiver without any error. Second, we propose optimal and sub-optimal schemes for simultaneous user-scheduling, power-allocation, and rate-selection in an Orthogonal Frequency Division Multiple Access (OFDMA) downlink, with the goal of maximizing expected sum-utility under a sum-power constraint and the availability of imperfect channel-state information at the transmitter. Finally, we consider allocation of network resources in the downlink of large multi-cellular OFDMA-networks and answer, from the view-point of a service provider, complex questions related to network design such as: How many base-stations need to be installed, or how much bandwidth should be purchased given a particular revenue-target, or what pricing scheme must be employed to meet the Quality-of-Service constraints of users and, at the same time, maximize revenue for the service provider? Using our analysis, we also propose a near-optimal resource allocation scheme for multi-cellular OFDMA systems under a truncated path-loss model and different fading models (Rayleigh, Nakagami-m, Weibull, and LogNormal) that is optimal in the scaling sense.
Philip Schniter, PhD (Advisor)
Can Emre Koksal, PhD (Advisor)
Ness Schroff, PhD (Committee Member)
208 p.

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Citations

  • Aggarwal, R. (2012). Resource Allocation and Design Issues in Wireless Systems [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337790457

    APA Style (7th edition)

  • Aggarwal, Rohit. Resource Allocation and Design Issues in Wireless Systems. 2012. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1337790457.

    MLA Style (8th edition)

  • Aggarwal, Rohit. "Resource Allocation and Design Issues in Wireless Systems." Doctoral dissertation, Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337790457

    Chicago Manual of Style (17th edition)