Co-Channel Interference Research Papers - Academia.edu (original) (raw)

The objective of the present paper is to evaluate the impact of adjacent and co-channel interference on the performance of some standard report systems that exists in an outdoor telecommunications cabinet - base station (BS) (also known as KV, from the acronym of the German word Kabelverzweiger) and devices that technicians frequently use. Specifically, the interference analyzed is between devices, such as Bluetooth handset, laptop and measurement tools, that are usually used during inspections and repairs by technicians and wireless reporting systems installed inside BS that provide information about BS’s condition and real time connection with the help desk back office.

The mass adoption of WiFi (IEEE 802.11) technology has increased numbers of devices simultaneously attempting to use high-bandwidth applications such as video streaming in a finite portion of the frequency spectrum. These increasing numbers can be seen in the deployment of highly-dense wireless environments in which performance can be affected due to the intensification of challenges such as co-channel interference (CCI). There are mechanisms in place to try to avoid sources of interference from non-WiFi devices. Still, CCI caused by legitimate WiFi traffic can be equally or even more disruptive, and also though some tools and protocols try to address CCI, these are no longer sufficient for this type of environment. Therefore, this paper investigates the effect of transmit power and direction have on CCI in a high-density environment consisting of multiple access points (APs) and multiple clients. We suggest improvements on publicly- existing documented power control algorithms and techniques by proposing a cooperative approach consisting of the incorporation of feedback from the receiver to the transmitter to allow it to reduce power level where possible, which will minimize the range of CCI for near clients without compromising coverage for the most distant ones.

MIMO Z Channel is investigated in this paper. We focus on how to tackle the interference when different users try to send their codewords to their corresponding receivers while only one user will cause interference to the other. We assume there are two transmitters and two receivers each with two antennas. We propose a strategy to remove the interference while allowing different users transmit at the same time. Our strategy is low-complexity while the performance is good. Mathematical analysis is provided and
simulations are given based on our system.

- by Daniel Altamirano
- •
- Wireless Communications, BPSK, BER, Co-Channel Interference

The mass adoption of WiFi (IEEE 802.11) technology has increased numbers of devices simultaneously attempting to use high-bandwidth applications such as video streaming in a finite portion of the frequency spectrum. These increasing numbers can be seen in the deployment of highly-dense wireless environments in which performance can be affected due to the intensification of challenges such as co-channel interference (CCI). There are mechanisms in place to try to avoid sources of interference from non-WiFi devices. Still, CCI caused by legitimate WiFi traffic can be equally or even more disruptive, and also though some tools and protocols try to address CCI, these are no longer sufficient for this type of environment. Therefore, this paper investigates the effect of transmit power and direction have on CCI in a high-density environment consisting of multiple access points (APs) and multiple clients. We suggest improvements on publicly-existing documented power control algorithms and techniques by proposing a cooperative approach consisting of the incorporation of feedback from the receiver to the transmitter to allow it to reduce power level where possible, which will minimize the range of CCI for near clients without compromising coverage for the most distant ones.

This paper mainly presents Access Point s’ (APs’) performance and co-channel, adjacent channel interference according to 802.11g standard. Firstly, our study illustrates the performance of one AP, including its coverage performance, load-carrying properties and fairness. Next we propose the details about co-channel, adjacent channel interference which should be paid attention to in deploying network services. Then, performance analyses are evaluated by simulation and real test for a dense wireless network. Our contribution is that the co-channel, adjacent channel interference analysis, the simulation and test results can be the basis offered to network operators

Wireless network widely used today include, cellular network, wireless mesh network (WMNs), wireless local area network and personal area network. The increasing demand for these networks has turned spectrum into a precious resource. For this reason, there is always a need for methods to pack more
bits/Hz. A particular solution is to use multiple antenna at both transmitter and receiver side. Such a system is called multiple-input multiple-output (MIMO) system. In real propagation environment of cellular communication, channel reuse will cause the co-channel interference which will degrade the MIMO channel performance. The interference cancellation (IC technology) can handle efficiently the cochannel interference. In this paper comparison computer simulation for zero forcing successive interference cancellation (ZF-SIC) minimum mean square error (MMSE equalizer) and maximum
likelihood (ML) for two transmitting and two receiving antenna is shown.

In the cellular environment, there will be channel reuse and therefore co-channel interference from other cells exists and as a result the performance will be degraded. So it is necessary to reject the co-channel interference. In this paper, co-channel interference (CCI) cancellation scheme for cooperative communication systems in wireless communication network has been proposed. In the multipath environment, CCI causes more performance degradation in wireless network. Several interference signal mitigation methods have been proposed including Maximum Likelihood (ML), Zero Forcing (ZF), MMSE and Successive Interference Cancellation (SIC). Of all these techniques, MMSE SIC with optimal ordering will reject CCI efficiently and offers performance improvement compared with conventional SIC. In this paper, the overall system performance has been demonstrated in terms of bit error rate (BER) by considering Rayleigh fading channel.

- by K.J.Silva Lorraine and +1
- •
- Wireless Communications, MIMO Systems, Co-Channel Interference, Minimum Mean-squared Error (MMSE)

Demand of data usage and increase of subscribers in Long Term Evolution (LTE) has urged Third Group Partnership Project (3GPP) to find a solution of traffic data growth. In Release 12, the 3GPP introduced Wi-Fi as an alternative to ease the heavy traffic at the LTE base station in dense areas. In contrary with the traffic offloading, Wi-Fi users suffer the worst network degradation because of co-channel interference at frequency 2.4GHz due to collided with LTE band 40. Interference management in LTE-Wi-Fi integrated network is crucial as it affect user's experiences and services. In this paper, we enhanced a method which is Direct Sequence Spread Spectrum (DSSS) to improve user's performance in LTE-Wi-Fi network. The DSSS has advantages such as more robust and ability to expand to higher data rates. We introduce a new coefficient called as chip rate coefficient (α) to investigate Signal-to-Interference-Noise Ratio (SINR) expression for User Equipments (UEs) in LTE-Wi-Fi networks. The simulation results discovered that proposed α with value of 0.2 gave the optimum improvement of SINR for LTE and Wi-Fi users. By modifying the SINR expression of the standard DSSS, SINR values at MUE and WUE show better improvement with 4.69% and 17.94%, respectively.

IEEE 802.15.4, the basic standard behind ZigBee, is a low-power communication standard mostly operating in the free 2.4 GHz Industrial, Scientific and Medical (ISM) frequency band. This band is heavily used by many technologies sending with more power, therefore avoiding interference is an important task and knowledge of the spectrum is essential. This paper presents an algorithm and its actual implementation that classifies sources of interference from a Received Signal Strength Indication (RSSI) noise floor reading of a single IEEE 802.15.4 channel. This algorithm can identify WLAN and Bluetooth traffic as well as the interference generated by microwave ovens with a second of RSSI measurements. It can run on off-the-shelf sensor node hardware. Since there is no need to change the channel, the node is continuously connected to its network with full message receiving capability.

- by Thomas Newe and +1
- •
- WSN (Wireless sensor network), Co-Channel Interference

In this paper, iterative multi-user detection techniques for multi-beam communications are presented. The solutions are based on a successive interference cancellation architecture and a channel decoding to treat the co-channel interference. Beams forming and channels coefficients are estimated and updated iteratively. A developed technique of signals combining allows power improvement of the useful received signal; and then reduction of the bit error rates with low signal to noise ratios. The approach is applied to a synchronous multi-beam satellite link under an additive white Gaussian channel. Evaluation of the techniques is done with computer simulations, where a noised and multi-access environment is considered. The simulations results show the good performance of the proposed solutions.

In this paper, we derive closed-form solution for the bit error rate (BER) of multi-input multi-output (MIMO) system with maximum ratio combining (MRC). We consider binary PSK (BPSK) modulation suffering from cochannel interference (CCI) and imperfect channel state information (CSI). We assume a propagation model wherein the desired and interfering signals undergo independent and identically distributed (I.I.D.) Rayleigh fading channels. The numerical results presented in this paper demonstrate the system performance under very realistic propagation and detection conditions including MIMO system, CCI, imperfect CSI, generalized fading channels, and AWGN