Frequency-domain equalization for OFDMA-based multiuser MIMO systems with improper modulation schemes

Xiao, Pei; Lin, Zihuai; Fagan, Ailís; Cowan, C.F.N.; Vucetic, Branka; Wu, Yi

doi:10.1186/1687-6180-2011-73

Cited by 3 publications

(2 citation statements)

References 20 publications

(26 reference statements)

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“…For wide band OFDMA wireless transmission systems, e.g., LTE OFDMA downlink [12], [13], to simply scheduling task, several consecutive subcarriers are usually grouped together for scheduling [14]. A basic scheduling unit is called a Physical Resource Block (PRB).…”

Section: System Modelmentioning

confidence: 99%

Inter-cell interference management for heterogenous networks based on belief propagation algorithms

Chen

Lin

Vucetic

et al. 2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

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Inter-cell interference coordination (ICIC) and resource allocation problems are fundamental challenges for the design of wireless networks. In this paper, we propose a distributed network inter-cell control scheme, and introduce a Belief Propagation (BP) framework to solve the optimization problem. The goal is to maximize the sum rate of those Base Stations (BS). This new approach assumes that the inter-cell interference is a set of stochastic variables. Based on a set of prior distributions, it calculates the posterior distributions of the scheduling variables. The solution allocates PRBs to Mobile Stations (MS) in the cells, including optimization of the transmit powers in each subcarrier. Numerical results demonstrate that this algorithm achieves a good result in typically a couple of iterations.

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Section: System Modelmentioning

confidence: 99%

Inter-cell interference management for heterogenous networks based on belief propagation algorithms

Chen

Lin

Vucetic

et al. 2013

2013 IEEE Wireless Communications and Networking Conference (WCNC)

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“…With a linear Minimum Mean Square Error (MMSE) receiver [11], the optimum precoding matrix under the sum power constraint can generally be expressed as B n = U n √ Σ n V n [12]. Here U n is an n t × n t eigenvector matrix with columns corresponding to the n t largest eigenvalues of the matrix H n H H n , where H H n is the Hermitian transpose of the channel matrix H n .…”

Section: System Modelmentioning

confidence: 99%

Average per-user rate for MIMO systems with SDM-FDPS

Chen

Lin

Xiao

et al. 2012

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)

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Abstract-In this paper, we introduce the concept of average per-user rate to the multiuser Multiple-Input, Multiple-Output (MIMO) system with the frequency domain packet scheduler (FDPS) at base stations, which provides an estimate of the rate that the system could provide for each admitted user. The proposed admission control is designed by comparing the user's quality of service (QoS) requirements with the transmission rate that the system can offer. The analytical model is based on the generalized 3GPP LTE downlink transmission for which two Spatial Division Multiplexing (SDM) multiuser MIMO schemes are investigated, namely, Single User (SU) and Multi-user (MU) MIMO schemes. The main contribution of this paper is the derivation of the achievable rate for each user in the SDM MIMO systems based on a mathematical model of the Signal to Interference plus Noise Ratio (SINR) distribution with the frequency domain packet scheduler. The achievable rate provides insights into the system's performance from a different perspective.

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