Efficient Resource Allocation in Uplink OFDMA Systems

Efficient Resource Allocation in Uplink OFDMA Systems

Orthogonal Frequency Division Multiple Access (OFDMA) has been selected as the accessing scheme for state-of-the-art next generation mobile communication systems. The high data rates expected for current and next generation broadband wireless access systems, such as 3GPP Long Term Evolution (LTE) and WiMAX (IEEE 802.16) necessitate an efficient use of the available resources. Downlink resource allocation in OFDMA systems has received a lot of attention, with relatively less work done on the uplink. The distributed nature of the power constraint in the uplink makes the uplink resource allocation problem more challenging than its downlink counterpart. In this dissertation, the ergodic weighted sum-rate maximization problem in the uplink of single cell OFDMA systems with continuous and discrete rates is formulated and solved. Novel low-complexity suboptimal scheduling algorithms are proposed and shown to perform closely to the optimal solution. These algorithms are generalized to include utility maximization in general, with a focus on proportional fairness. In addition, the results are extended to a distributed base station scenario, and distributed scheduling techniques with and without user cooperation are developed. Furthermore, the problem of uplink resource allocation in a multicell scenario is addressed. Several novel intercell interference mitigation techniques are proposed, in both the centralized and distributed scheduling cases, with and without base station collaboration. Finally, the applicability of the proposed resource allocation algorithms in state-of-the-art wireless systems like LTE and WiMAX is studied.


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