Abstract
In this thesis, we study the cooperative communication with fair utility sharing in mobile cellular systems. By cooperating, users can exploit spatial diversity gains to get utility, such as power savings, reductions to probability of outage etc. However, users may have different traffic loads, i.e., the numbers of transmitting packets among users may not be the same. Thus, adopting the optimum power allocations derived from the situation of the same traffic loads may not be fair for the utility sharing. Therefore we define the Fairness Index (FI) to achieve fair utility sharing with the consideration of system efficiency. Numerical results show that the FI we defined is reasonable and the cooperation is efficient. In addition, we propose a cheat-proof packet forwarding algorithm to detect whether the cooperative partner cheats in cooperation due to selfishness of users. The simulation results show the feasibility of this algorithm. Final, in order to achieve cooperation as full as possible, we also propose an algorithm to select partners in multiuser systems. The simulation results not only show that this algorithm is feasible but also indicate that, based on different utility criteria, the match outcomes and the match order will be different.