Krishna Chitti

  • Citations Per Year
Learn More
In this paper, the problem of sum-rate maximization with Quality of Service (QoS) for a multi-cell multi-user uplink is addressed. The problem is formulated as a Mixed Integer Nonlinear Programming (MINLP) problem with non-convex feasible region and hence is difficult to solve. A primal-dual infeasible-interior-point method (IIPM) is applied to jointly(More)
In this paper, the problem of sum-power minimization with Quality of Service (QoS) for a multicell multi-user uplink is addressed. This Power Control (PC) problem is formulated as a Mixed Integer Nonlinear Programming (MINLP) optimization problem and solved using a primal-dual infeasible-interior-point method (IIPM) after obtaining an equivalent non-linear(More)
Uplink sum power minimization problem with required Quality of Service (QoS) under statistical Channel State Information (CSI) and probabilistic constraints in solved for a multicell multiuser scenario. To handle the probabilistic constraints and analyze the system performance, financial risk management measures Value at Risk (VaR) and Conditional Value at(More)
In this paper, we consider a wireless communication system where a large intelligent surface (LIS) is deployed comprising a number of small and distributed LIS-Units. Each LISUnit has a separate signal process unit (SPU) and is connected to a central process unit (CPU) that coordinates the behaviors of all the LIS-Units. With such a LIS system, we consider(More)
The problem of multi-cell multi-user uplink sum-power minimization with required quality of service (QoS) under imperfect Channel State Information (CSI) and Probabilistic Contraints (PrCons) is solved. This paper is an extension of our previous work on statistical-CSI and PrCons. Deterministic constraints at times are infeasible or too expensive to(More)
  • 1