Robust joint transmitter and receiver power allocation for multi-user communications | |
| Author | Chirawat Kotchasarn |
| Call Number | AIT Diss. no.TC-08-01 |
| Subject(s) | Wireless communication systems MIMO systems |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Telecommunications, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. TC-08-01 |
| Abstract | This dissertation investigates the problem of join t transmitter and receiver power allocation for multi-user communication systems. We focus on uplink wireless transmis- sions from multiple users to a central base station . In addition to efficiency of power allo- cation, we consider simultaneously the issues of fa irness among users and robustness against channel state information (CSI) error. For fairness, we set the objective of power allocation to minimize the maximum mean square erro r (MSE) among all users each of which has limited transmit power. For robustness, w e minimize the maximum MSE among all CSI error events in which the amount of error i s bounded by some deterministic value. We first formulate the fair power allocation proble m with perfect CSI as a nonlinear opti- mization problem. Numerical results indicate that t he minimax MSE criterion for power allocation outperforms the minimum total MSE criter ion both in terms of the maximum and the average bit error rate (BER) estimates. We also observed that, unlike the minimum total MSE criterion under which all users always tr ansmit at full power, the minimax MSE criterion may result in some users not transmitting at full power. We next formulate the robust power allocation problem in which the CSI is not perfect as an optimization prob- lem. Since the formulated problem contains an uncou ntably infinite number of constraints, we provide a problem transformation that turns the robust power allocation problem into a semidefinite programming problem (SDP) problem with a finite number of bilinear matrix inequality (BMI) constraints. Numerical results sho w that, under imperfect CSI, the mini- max MSE criterion also outperforms the minimum tota l MSE criterion in the contexts of the maximum and the average BER estimates. |
| Year | 2007 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. TC-08-01 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Telecommunications (TC) |
| Chairperson(s) | Poompat Saengudomlert |
| Examination Committee(s) | Ahmed, Kazi M.;Teerapat Sanguankotchakorn;Huynh Trung Luong |
| Scholarship Donor(s) | Rajama ngkala University of Technology Thanyaburi (RMUTT)-Thailand |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2008 |