Effective interference level-based packet transmission for multiple-input multiple-output systems with hybrid automatic repeat request

2015 ◽  
Vol 9 (18) ◽  
pp. 2208-2215
Author(s):  
Younghoon Whang ◽  
Huaping Liu ◽  
Sangjoon Park
Keyword(s):  
Multiple Input Multiple Output ◽  
Packet Transmission ◽  
Automatic Repeat Request ◽  
Interference Level ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Hybrid Automatic Repeat Request

Transceiver Designs to Improve Spectrum Utilization in MIMO Interference Channels

2015 ◽  
Vol 1 ◽  
pp. 47
Author(s):  
Le Ty Khanh ◽  
Ha Hoang Kha ◽  
Nguyen Minh Hoang
Keyword(s):  
Multiple Input Multiple Output ◽  
Primary User ◽  
Radio Spectrum ◽  
Interference Channels ◽  
Spectrum Utilization ◽  
Secondary Users ◽  
Interference Level ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Interference Channels

This paper is concerned with a multiple-input multiple-output (MIMO) multi-user wireless networks in which multiple secondary users (SUs) can share the same radio spectrum with a single primary user (PU). The design problems of the transceivers in such MIMO interference channels are to find the precoding matrices at the transmitters and the receiving matrices at the receivers to minimize the mean square error (MSE) or to maximize the sum-rate of the SUs while guaranteeing the interference power at the PU receiver below an acceptable threshold. In this paper, we consider to design the transceivers using the interference alignment techniques. The objective is to align the interference at the SUs and maintain an acceptable leakage interference level from the SUs into the signal subspace of the PU receiver. Due to the nonlinearity and nonconvexity of the underlaying problems, we develop an alternating algorithm which efficiently solves a convex optimization in each iteration. The numerical results are provided to validate the performance of our algorithm.

Performance Analysis of Ground Moving Target Detection for Airborne MIMO Radar

2012 ◽  
Vol 229-231 ◽  
pp. 1414-1418
Author(s):  
Cong Cong Li ◽  
Jun Li ◽  
Chao Hai Li ◽  
Wen Jun Huang
Keyword(s):  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Experimental Simulation ◽  
Moving Target ◽  
Interference Level ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Slow Moving ◽  
Ground Moving Target Detection ◽  
Ground Moving Target Indication

The performance of a Ground Moving Target Indication (GMTI) radar is determined by the interference level of the clutter to a large extent. With the longer illumination and the larger aperture, Multiple-Input, Multiple-Output (MIMO) radar greatly enhances the ability to detect the slow-moving target. This paper compares MIMO radar with conventional phased-array radar in terms of signal to clutter and noise ratio (SCNR) performance. Moreover, the paper proves the fact that the improvement of SCNR with MIMO techniques is not only limited in the antenna configuration of the side-looking but also non-sidelooking array-antenna. The analysis of mianlobe clutter and sidelobe clutter levels can greatly simplify the computation of the total clutter. Finally, the experimental simulation is been given.

scholarly journals Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

2021 ◽  
Author(s):  
Jie Ding ◽  
Mahyar Nemati ◽  
Shiva Pokhrel ◽  
Ok-Sun Park ◽  
Jinho Choi ◽  
...  
Keyword(s):  
Multiple Input Multiple Output ◽  
Random Access ◽  
Packet Transmission ◽  
Future Research ◽  
Data Packets ◽  
Fifth Generation ◽  
New Radio ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Radio Resources

<div>Enabling ultra-reliable low-latency communication (URLLC) with stringent requirements for transmitting data packets (e.g., 99.999% reliability and 1 millisecond latency) presents considerable challenges in uplink transmissions. For each packet transmission over dynamically allocated network radio resources, the conventional random access protocols are based on a request- rant scheme. This induces excessive latency and necessitates reliable control signalling, resulting overhead. To address these problems, grant-free (GF) solutions are proposed in the fifth-generation (5G) new radio (NR). In this paper, an overview and vision of the state-of-the-art in enabling GF URLLC are presented. In particular, we first provide a comprehensive review of NR specifications and techniques for URLLC, discuss underlying principles, and highlight impeding issues of enabling GF URLLC. Furthermore, we explain two key phenomena of massive multiple-input multiple-output (mMIMO) (i.e., channel hardening and favorable propagation) and build several deep insights into how celebrated mMIMO features can be exploited to enhance the performance of GF URLLC. Moving further ahead, we examine the potential of cell-free (CF) mMIMO and analyze its distinctive features and benefits over mMIMO to resolve GF URLLC issues. Finally, we identify future research directions and challenges in enabling GF URLLC with CF mMIMO.</div>

scholarly journals Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO

2021 ◽  
Author(s):  
Jie Ding ◽  
Mahyar Nemati ◽  
Shiva Pokhrel ◽  
Ok-Sun Park ◽  
Jinho Choi ◽  
...  
Keyword(s):  
Multiple Input Multiple Output ◽  
Random Access ◽  
Packet Transmission ◽  
Future Research ◽  
Data Packets ◽  
Fifth Generation ◽  
New Radio ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Radio Resources

<div>Enabling ultra-reliable low-latency communication (URLLC) with stringent requirements for transmitting data packets (e.g., 99.999% reliability and 1 millisecond latency) presents considerable challenges in uplink transmissions. For each packet transmission over dynamically allocated network radio resources, the conventional random access protocols are based on a request- rant scheme. This induces excessive latency and necessitates reliable control signalling, resulting overhead. To address these problems, grant-free (GF) solutions are proposed in the fifth-generation (5G) new radio (NR). In this paper, an overview and vision of the state-of-the-art in enabling GF URLLC are presented. In particular, we first provide a comprehensive review of NR specifications and techniques for URLLC, discuss underlying principles, and highlight impeding issues of enabling GF URLLC. Furthermore, we explain two key phenomena of massive multiple-input multiple-output (mMIMO) (i.e., channel hardening and favorable propagation) and build several deep insights into how celebrated mMIMO features can be exploited to enhance the performance of GF URLLC. Moving further ahead, we examine the potential of cell-free (CF) mMIMO and analyze its distinctive features and benefits over mMIMO to resolve GF URLLC issues. Finally, we identify future research directions and challenges in enabling GF URLLC with CF mMIMO.</div>

Sign in / Sign up

Export Citation Format

Share Document