scholarly journals Performance of Cross-Layer Design with Antenna Selection and Imperfect Feedback Information in MIMO Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaoyu Dang ◽  
Xiangbin Yu ◽  
Xiaomin Chen
Keyword(s):  
Mimo Systems ◽  
Antenna Selection ◽  
Mimo System ◽  
Spectrum Efficiency ◽  
Packet Error Rate ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Feedback Information ◽  
Average Spectrum ◽  
Special Cases

By combining adaptive modulation and automatic repeat request, a cross-layer design (CLD) scheme for MIMO system with antenna selection (AS) and imperfect feedback is presented, and the corresponding performance is studied. Subject to a target packet loss rate and fixed power constraint, the variable switching thresholds of fading gain are derived. According to these results, and using mathematical manipulation, the average spectrum efficiency (SE) and packet error rate (PER) of the system are further derived. As a result, closed-form expressions of the average SE and PER are obtained, respectively. These expressions include the expressions under perfect channel state information as special cases and provide good performance evaluation for the system. Numerical results show that the proposed CLD scheme with antenna selection has higher SE than the existing CLD scheme with space-time block coding, and the CLD scheme with variable switching thresholds outperforms that with conventional-fixed switching thresholds.

Cross-layer Design for MIMO Systems with Transmit Antenna Selection and Imperfect CSI

Frequenz ◽  
2013 ◽  
Vol 67 (5-6) ◽  
Author(s):  
Xiangbin Yu ◽  
Yan Liu ◽  
Yun Rui ◽  
Tingting Zhou ◽  
Xin Yin
Keyword(s):  
Mimo Systems ◽  
Antenna Selection ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Imperfect Csi ◽  
Transmit Antenna Selection

scholarly journals A PHY/MAC cross-layer design with transmit antenna selection and power adaptation for receiver blocking problem in dense VANETs

2020 ◽  
Vol 24 ◽  
pp. 100233
Author(s):  
Andy Triwinarko ◽  
Iyad Dayoub ◽  
Marie Zwingelstein-Colin ◽  
Mohamed Gharbi ◽  
Basma Bouraoui
Keyword(s):  
Antenna Selection ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Transmit Antenna Selection ◽  
Power Adaptation

A Novel Transmit Diversity Technique for MIMO System

2012 ◽  
Vol 468-471 ◽  
pp. 355-359
Author(s):  
You Yan Zhang ◽  
Shu Yue Hong
Keyword(s):  
Likelihood Ratio ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Mimo System ◽  
Signal To Noise Ratio ◽  
Gray Code ◽  
Transmit Antenna Selection ◽  
Selection Scheme ◽  
Log Likelihood ◽  
Log Likelihood Ratio

The antenna diversity based on log-likelihood ratio (LLR) is better than that based on signal-to-noise ratio (SNR) in bit error rate performance for MIMO systems. Thus in this paper, we present a novel transmit antenna selection scheme based on bit log-likelihood ratio when the Alamouti code is employed .Then the BER expressions of application based on Bit-LLR (BLLR) for MPSK and MQAM modulation with Gray code are derived. The simulation results show that the new scheme based on BLLR is superior to SNR. With the increase of the transmit antennas, the performance of system is improved significantly. Furthermore, the diversity order is the same as that of the full complexity systems.

scholarly journals Implementation of Max-SNR Opportunistic Scheduling in Cross Layer Design

2019 ◽  
Vol 9 (1) ◽  
pp. 4491-4496
Keyword(s):  
Design Method ◽  
Scheduling Algorithm ◽  
Main Idea ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Media Access Control ◽  
Cross Layer ◽  
Opportunistic Scheduling ◽  
Cross Layer Design ◽  
Time Varying

The spectrum efficiency in wireless networks is becoming increasingly important to satisfy the expanding need for remote services, particularly reasonable remote Internet services. Various wireless users will encounter distinct circumstances on the channel, which are time-varying and location dependent at a given time. To exploit the wireless time-varying nature, a cross-layer design method called Opportunistic scheduling is used. Opportunistic scheduling increases the overall system performance and user fairness requirements under certain Quality of Service (QoS). The main idea behind this opportunistic scheduling algorithm is to make use of the time-varying channel and a user with the highest channel condition should be scheduled at a specified moment. The progressions in Wireless innovation made opportunistic scheduling a famous research point as of late. The demand for QoS provisioning is increasing and using a scheme which allows only users with best channel conditions to transmit at high transmission power cannot be satisfied. The objective of this paper is to implement opportunistic scheduling while adhering to fairness and QoS constraints, using Max-Min fair algorithm. In brief, a wireless network has been simulated using Qualnet simulator. An opportunistic scheduler that uses Max-Min fairness scheduling has been implemented, at the Media Access Control (MAC) layer. Here, the base station gathers the Signal to Noise Ratio (SNR) of all the nodes and then schedules the users using Max-Min algorithm, based on these SNR values. The same scenario is then implemented using Strict Priority, which is a Non-opportunistic scheduling algorithm. The resulting throughput, fairness, delay and jitter of both the algorithms are then compared.

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