Junling Mao

Beijing University of Posts and Telecommunications | BUPT · Department of Electronics Information Science and Technology

In this paper, the decentralized transceivers and corresponding channel state information (CSI) signaling concepts are proposed for weighted sum rate (WSR) maximization, via linear downlink transceiver optimization in multi-relay aided multiuser multiple-input multiple-output (MIMO) networks. Three decentralized algorithms are proposed with the loc...

The energy efficient bit and power loading problem is studied for the multicarrier communication systems aiming to maximize the system energy efficiency (EE) under the total transmit power constraint, the per subcarrier bit error rate (BER) constraint and the minimum transmission rate constraint. To solve the non-convex combinatorial EE optimizatio...

This letter studies the energy efficiency (EE) optimization problem for the simultaneous wireless information and power transfer (SWIPT) MIMO systems with statistical channel state information (CSI) feedback. Considering the further transmission of the energy harvesting node, the potential capacity produced by the transferred energy is counted in s...

This paper addresses relay selection(RS) and power allocation(PA) issues for a physical-layer network coding (PNC) relay based secondary user (SU) communication in cognitive radio networks, in which two secondary transceiver nodes exchange their information with the assistance of a relay under interference power threshold (IPT) constraints. We prop...

Conventional designs of OFDM-based cognitive radio (CR) systems mainly focus on the system throughput. Since nowdays the energy efficiency (EE) of wireless systems becomes more and more important, this paper intends to improve the system throughput for unit-energy consumption in OFDM-based CR systems. The energy-efficient power allocation problem o...

Conventional designs of cognitive radio (CR) multiple-input multiple-output (MIMO) systems mainly focus on the system throughput. Since nowdays the energy efficiency (EE) of wireless systems has become more and more important, this paper intends to improve the system throughput for unit-energy consumption in CR MIMO broadcast channels (BC). The EE...

This study considers the immense problem of sum rate maximisation in K-user multiple-input multiple-output interference channels (IFC). In order to address this problem, the authors propose an iterative Taylor approximation algorithm to find the optimal transmit covariance matrices, where each user maximises the sum rate function through Taylor exp...

This paper is concerned with the resource allocation for multiple input multiple output and orthogonal frequency division multiplexing access (MIMO-OFDMA) downlink cognitive radio systems where a cognitive radio MIMO-OFDMA system is under spectrum sharing with an existing primary radio (PR) network. We use the channel learning scheme to estimate th...

Robust multiuser multiple-input-multiple-output (MIMO) scheduling algorithms are proposed in this paper. With imperfect channel state information (CSI), traditional scheduling algorithms for the multiuser MIMO system based on the zero forcing precoding scheme will lose some performance due to the multi-user interference (MUI). In order to improve t...

This paper studies the power allocation problem for a cognitive radio (CR) multiple-input–multiple-output (MIMO) system under spectrum sharing with an existing primary radio network. In particular, the ergodic capacity maximization problem is studied in the Rayleigh fading cognitive MIMO channel under both the total transmit power constraint and a...

In this letter, we simplify the well-known semi-orthogonal user selection (SUS) algorithm for the multi-user multiple-input multiple-output (MU-MIMO) system with zero-forcing beamforming (ZFBF). Compared with the original SUS algorithm, the proposed user selection algorithm achieves the same performance, but with significantly less complexity. Simu...

In this letter, the ergodic capacity maximization problem is first studied in the fading cognitive multiple-input multiple-output (MIMO) Z-interference channel (ZIC), where the interference from the primary transmitter (PT) to the secondary receiver (SR) is omitted. With the statistical channel state information (CSI) feedback, we find the optimal...

A Nash equilibrium exists in the MIMO interference channel where users maximize their rates in a fully competitive manner. In this paper, we propose a distributed algorithm to improve the equilibrium efficiency. In the algorithm, some kind of coordination is introduced by exchanging interference prices among users, where the price function is deriv...