quality of service/ iterative water-filling algorithmspower efficiency optimizationMIMOmulti-antennaquality of servicedynamic resource allocationinterferenceweighted rate sum maximizationthroughput maximizationI
If the transmitter assumes that there is no lag between acquisition of CSIT and transmission (i.e., inaccurately assumes n = n0), then the "optimum" input covariances are found using the duality of the MAC/BC and iterative water-filling [1]. 3.2. Linear transmit precoding Linear transmit ...
To this end, we investigate the possibility of improving energy efficiency (EE) of delay tolerable (DT) services by allocating resources based on the time-domain water-filling algorithm. We first transform the non-convex problem of maximizing EE into a convex problem of minimizing transmission ...
Theory and algorithm design of RC systems The core idea of RC is to design and use a dynamical system as reservoir that adaptively generates signal basis according to the input data and combines them in some optimal way to mimic the dynamic behavior of a desired process. Under this angle, w...
Yang, Z. Bankruptcy prediction based on support vector machine optimized by particle swarm optimization and genetic algorithm. Comput. Eng. Appl. 2013, 49, 265–270. [Google Scholar] Liu, J.; Qiang, H; Wang, Y. Application of particle swarm operation algorithm in water level-discharge relatio...
Spherical tanks have been predominantly used in process industries due to their large storage capability. The fundamental challenges in process industries require a very efficient controller to control the various process parameters owing to their nonlin
Secondly, because a single-user water-filling is performed at each stage, optimizing each user's data rate regarding all other users as noise, the iterative water-filling algorithm offers an opportunity for different loops in a binder to negotiate the use of frequency. Thus, each loop has an...
G. Scutari, D. P. Palomar, and S. Barbarossa, "The MIMO Iterative Waterfilling Algorithm," submitted to IEEE Trans. on Signal Processing. See also Proc. of the IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, USA, March 30 - April 4, 2008....
MIMOPower allocationSpatial filteringConvex optimizationIterative water-fillingIn this paper we present algorithms to minimize transmit power consumption in the multi-antenna downlink under quality ofservice (QoS) constraints in terms of (sum) rate. This fundamental problem arises frequently in dynamic ...
Iterative Decoding Algorithm in the Adaptive Modulation and Coding System with MIMO SchemesRyoo, S.Lee, K.You, C.Hwang, I.IEICE TRANSACTION COMMUNICATIONS E SERIES B