Two broadband wireless standards have recently emerged as candidates for the evo lution of current state-of-the-art wireless systems: 3GPP Long Term Evolution (L TE) and mobile WiMAX (IEEE 802.16e). These standards have adopted Orthogonal Fre quency Division Multiple Access (OFDMA) as an accessing scheme due to its immuni ty to inter-symbol interference and frequency selective fading. With the limited power and bandwidth resources and the tight QoS requirements, optimized resourc e allocation to mobile users in the network becomes a must. The issue of resourc e allocation in OFDMA has been widely investigated in the downlink both in the c ase of instantaneous rate maximization and ergodic rate maximization. On the con trary, little work has been accomplished in the uplink, and none considered ergo dic rate maximization. In this thesis, we formulate and solve the ergodic rate m aximization problem in the uplink of OFDMA systems subject to per-user power con straints in order to take advantage of the additional temporal dimension. The in itial problem is then modified and solved to impose fairness considerations in t he system. Dual optimization techniques are used and solutions are obtained with zero duality gap. Results demonstrate the gains provided by the obtained soluti ons over other uplink resource allocation algorithms from the literature.
|Author||Ahmad Mahmoud El Hajj|
|Rating||4/5 (15 users)|