Two-dimensional water-filling power allocation algorithm for MIMO-OFDM systems

Abstract

Departing from the narrowband channel model, more and more researchers have recently considered the application of multiple-input multiple-output (MIMO) systems over frequency-selective fading channels in combination with the orthogonal frequency-division multiplexing (OFDM) technique. In this paper, we focus on the capacity of MIMO-OFDM systems and how to increase the capacity. It has been proved that the capacity of a MIMO system with space-dimensional water-filling power allocation is greater than that of the system with uniform power allocation. In MIMO-OFDM systems, there is an additional degree of freedom to allocate power with respect to MIMO systems: the OFDM sub-channels in frequency-domain. With the singular value decomposition (SVD) applied to the channel frequency response matrix, the two-dimensional water-filling power allocation algorithm for MIMO-OFDM systems is proposed based on the Lagrange method, and the corresponding capacity analysis formula is derived. Simulation results show that the capacity of a MIMO-OFDM system with the proposed two-dimensional water-filling power allocation is greater than that of the system with uniform power allocation and also greater than that of the system with the one-dimensional water-filling power allocation.

Transmission capacity maximization for LED array-assisted multiuser VLC systems

“…http://engine.scichina.com/doi/10.1007/s11432-015-5298-6 We note that the OPA strategy for the S-T mode is achieved by solving the relaxation problem (15) with the CVX software [27,28], and the OPA for the R-R mode is obtained by (17). The numerical optimal PA strategy for the S-T mode is obtained by the GP algorithm, as described in Table 1.…”

“…Although the PA problem in (14) for the VLC system is different from that in RF systems, it is interesting to see that it still admits a locally optimal solution by the GP methods and a high-quality solution by the convex relaxation technique in the S-T mode. On the other hand, for the R-R mode, a closed form optimal solution is derived as shown in (17), and it is similar to the "water-filling" strategy of the RF systems in the sense that it allocates more power to the channel with a higher gain and less power to the channel with a lower gain [16]. Clearly, all these strategies behave more efficiently than the naive EPA.…”

Performance analysis of 8×8 MIMO system for LTE-A in Nakagami-m Fading Channel

“…Therefore, capacity of channel is always finite. Bandwidth WIMHz] The optimal power allocation for MIMO system is given by [4], …”

Performance Analysis of MIMO-OFDM System Using Singular Value Decomposition and Water Filling Algorithm

“…Adaptive power control based on water filling, and rate adaptation maximizes the spectral efficiency of MIMO-OFDM in discrete and upper bounded alphabets [5]. Whereas, Y. Jiang, et al have investigated that two dimensional water filling power allocation algorithm with the SVD for MIMO-OFDM system provide higher capacity than that of its uniform power allocation counterpart with one dimensional water filling power allocation scheme [6].…”