Distributed Transceiver Design and Power Control for Wireless MIMO Interference Networks

Abstract

This paper considers distributed transceiver design and power control for K-user multiple input multiple output (MIMO) interference networks. Each source intends to send multiple independent data streams to its corresponding destination where the number of data streams coincides with the degrees of freedom of the network. Each data stream is encoded at a fixed data rate while different streams can be encoded at possibly different rates. We assume that only local channel side information (i.e., knowledge related to channels directly connected to a terminal) can be acquired by each terminal. We propose iterative algorithms to perform both power control and transceiver design. Transmitter beamforming matrices and receiver filtering matrices are designed to maximize signalto-interference-plus-noise ratio (SINR) corresponding to each stream, and a power control scheme is performed to assign the minimum power to each encoded data stream such that successful communication can be guaranteed. The proposed algorithms exhibit a substantial performance improvement compared to the conventional orthogonal transmission schemes.

Ergodic Interference Alignment With Limited Feedback: Power Control and Rate Adaptation

“…In this part, we compute the mean and the variance of the random variable Y defined in (28). We exploit the property that the quantization error of a uniform quantizer quantizing a Gaussian random variable with variance σ 2 is uniformly distributed with an acceptable approximation when σ/∆ ≥ 1, where ∆ is the quantizer step-size [37].…”

“…According to (28), (55), and (51), we have the mean and the variance values which are given in (29).…”

“…Recently, combining interference alignment with power control has attracted increasing interests. For instance, the advantage of joint transceiver and power control design for MIMO ICs is presented in [22]- [28]. In this paper, we borrow the basic idea of the above results and consider single-antenna ICs with time-varying fading.…”

Investigations of MIMO Antenna for Smart Mobile Handsets and Their User Proximity

“…In order to accomplish this, wireless communication systems have to be pushed to the physical limits of the radio channels [1]. As "a key to gigabit wireless" multiple-input multiple-output (MIMO) technology as a diversity scheme made a great breakthrough for raising the performance with high-speed transmission rates, high-quality mobile communication services without the need of any additional frequency spectrum or power [2,3]. The vast potential of MIMO techniques is manifested by rapid espousal into the wireless standards, such as LTE (Long Term Evolution), UMTS, and Wi-MAX [4][5][6][7].…”

“…The two antenna elements are considered in this study which are placed near to the corner of mobile phone. The dimension of the substrate is chosen as 120 × 60 × 0.8 mm 3 . On the upper surface of the substrate, the main rectangular ground of dimension 104 × 60 mm 2 is disposed.…”