Meiyan Ju

Outage and Capacity Performance Evaluation of Distributed MIMO Systems over a Composite Fading Channel

The exact closed-form expressions regarding the outage probability and capacity of distributed MIMO (DMIMO) systems over a composite fading channel are derived. This is achieved firstly by using a lognormal approximation to a gamma-lognormal distribution when a mobile station (MS) in the cell is in a fixed position, and the so-called maximum ratio transmission/selected combining (MRT-SC) and selected transmission/maximum ratio combining (ST-MRC) schemes are adopted in uplink and downlink, respectively. Then, based on a newly proposed nonuniform MS cell distribution model, which is more consistent with the MS cell hotspot distribution in an actual communication environment, the average outage probability and capacity formulas are further derived. Finally, the accuracy of the approximation method and the rationality of the corresponding theoretical analysis regarding the system performance are proven and illustrated by computer simulations.

Comparison of multiuser MIMO systems with MF, ZF and MMSE receivers

This paper addresses the three receivers in multiuser multiple-input multiple-output (MU-MIMO) systems based on the different criteria which are matched filtering (MF), zero-forcing (ZF) and minimum mean square error (MMSE). The baseband system model of multiuser multiple-input multiple-output (MU-MIMO) systems is built up. The receivers do not take extra measures to mitigate the multiuser interference (MUI) and directly process the received signal according to the different criteria. Simulations show that the performance of receivers has relation to the number of receive antennas. The MMSE receiver outperforms the other two receivers and the ZF receiver is better than the MF receiver only when the number of the receive antennas is more than one.

PNCIA: An interference aware wireless multicast scheme with partial network coding

The conventional network coding based multicast schemes usually do not consider the influence of interference of nodes. However, in practical systems, the interference in wireless ad-hoc networks (WANETs) plays an important role on the performance of multicast schemes. By addressing this issue, this paper proposes a partial network coding based interference-aware (PNCIA) multicast scheme for real-time multicast services over WANETs. The core idea is to use a kind of interference measure criterion for multicast routing schemes. On the one hand, the proposed scheme uses partial network coding technique for guarantying real-time transmissions. On the other hand, it will select the path with less interference for the final data transmission. The simulation results show that, compared with traditional network coding based schemes, the proposed scheme can achieve higher throughput and better robust performances.

Impact of mutual coupling on performance of MIMO systems based on network theory analysis

In this paper, we investigated the performance of multiple elements array system such as receive power, signal correlation, channel capacity, and etc., in the presence of mutual coupling based on microwave network theory analysis. Combining S-parameter method and network analysis, the performance of MIMO receiver was studied detailedly. Computer simulations were operated for three different matching conditions: characteristic impedance match, self-impedance match and optimal multiport conjugate (MC) match. The results show that the impact of different matching condition on system’s performance is quite distinct, that is, the matching network plays an important role on improving the performance of MIMO system. Introduction In wireless communication, multiple input multiple output (MIMO) system equipped with multiple antennas at both transmitter and receiver sides can increase the channel capacity greatly[1][2]. Due to this attractive performance improvement, MIMO technique has been considered by many academic researchers, which leads to a great deal of publications. However, mutual coupling among antennas occurs when multiple antenna elements are placed in a small assembling place, such as in a mobile phone, a compact MIMO base station platform, etc [3]. Such coupling will lead to increasement of correlation of antenna signals [4]-[5]. Correlation of the receiver signals can considerably decrease the capacity of multiple element array (MEA) systems [6]. [7]-[11] have investigated the impact of different matching networks on the correlation of signals and MIMO capacity. In this paper, an alternative analysis method based on microwave network theory is presented to describe the compact MIMO communication systems. Using the so-called S-parameter representation, we will analyze the performance of the MIMO systems when there is serious mutual coupling among different antennas elements. Antenna Network Model Fig.1 shows complete network structure model of compact MIMO communication system. Here, we regard 0 b as the excitation source of receiver antenna array. From Fig.1 and microwave network theory [12], we can lead to 0 RR R R b b S a = + (1) 11 R R a S b = (2) In order to make the power transmitted to the load maximally, a matching network with scattering matrix M S is placed in the position between the antenna network and load. It is assumed 4th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2016)