Simulation of devices mobility to estimate wireless channel quality metrics in 5G networks

2017 ◽  
Author(s):  
Yu. Orlov ◽  
S. Fedorov ◽  
A. Samuylov ◽  
Yu. Gaidamaka ◽  
D. Molchanov
Keyword(s):  
Quality Metrics ◽  
Wireless Channel ◽  
5G Networks ◽  
Channel Quality

Cross-Layer Optimization in OFDM Wireless Communication Network

2013 ◽  
pp. 390-410
Author(s):  
Babasanjo Oshin ◽  
Adeyemi Alatishe
Keyword(s):  
Delay Time ◽  
Wireless Channel ◽  
System Capacity ◽  
Cross Layer ◽  
Ofdm System ◽  
Maximum Capacity ◽  
Cross Layer Optimization ◽  
Channel Quality ◽  
Data Throughput ◽  
Weighted Capacity

The wide use of OFDM systems in multiuser environments to overcome problem of communication over the wireless channel has gained prominence in recent years. Cross-layer Optimization technique is aimed to further improve the efficiency of this network. This chapter demonstrates that significant improvements in data traffic parameters can be achieved by applying cross-layer optimization techniques to packet switched wireless networks. This work compares the system capacity, delay time and data throughput of QoS traffic in a multiuser OFDM system using two algorithms. The first algorithm, Maximum Weighted Capacity, uses a cross-layer design to share resources and schedule traffic to users on the network, while the other algorithm (Maximum Capacity) simply allocates resources based only on the users channel quality. The results of the research shows that the delay time and data throughput of the Maximum Weighted Capacity algorithm in cross layer OFDM system is much better than that of the Maximum Capacity in simply based users channel quality system. The cost incurred for this gain is the increased complexity of the Maximum Weighted Capacity scheme.

scholarly journals A MAP Overhead Aware Two-Dimensional OFDMA Burst Construction Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 354 ◽  
Author(s):  
Lin-Kung Chen ◽  
Pi-Tzong Jan ◽  
Yen-Hung Chen ◽  
Rui-Ze Hung ◽  
Yen-Jung Lee
Keyword(s):  
Multiple Access ◽  
Large Data ◽  
5G Networks ◽  
Heavy Load ◽  
Coding Scheme ◽  
Channel Quality ◽  
Construction Algorithm ◽  
Construction Methods ◽  
Modulation Coding ◽  
Data Transferring

Conventional orthogonal frequency division multiple access (OFDMA) burst construction methods can only support limited numbers of connections due to the map overhead and corresponding limitations in the numbers of orthogonal resources blocks, which limits the capacity of current 4G and the following 5th generation (5G) networks. This study therefore provides a novel OFDMA burst construction algorithm and enhanced burst indexing aware algorithm (EHA), which try to maximize the throughput while considering the subchannel diversity and optimizing burst indexing issues. The EHA not only allocates the subchannels with the best channel quality for each burst, but also groups the bursts to alleviate the MAP overhead. Simulation results showed that the EHA yields two times the throughput that has been achieved using previous algorithms under a heavy load. Two contributions of the EHA are: (1) the overhead of burst indexing decreases because massive numbers of connections can be accommodated by one burst; and (2) the overall throughput increases due to that one connection with large data transferring requirements can be split and distributed into several bursts and placed on the subchannels with good channel quality to adopt better modulation coding scheme (MCS), if the saved bandwidth in this burst construction is more than the increased overhead of burst indexing.

scholarly journals Reducing CQI Signalling Overhead in HSPA

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Saied M. Abd El-atty ◽  
Dimitrios N. Skoutas ◽  
Angelos N. Rouskas
Keyword(s):  
High Speed ◽  
Adaptive Modulation ◽  
Prediction Method ◽  
Wireless Channel ◽  
Traffic Load ◽  
Adaptive Modulation And Coding ◽  
Reporting Scheme ◽  
Channel Quality ◽  
Finite State ◽  
Adaptation Procedure

The efficiency of adaptive modulation and coding (AMC) procedure in high speed Downlink packet access (HSDPA) depends on the frequency of the channel quality information (CQI) reports transmitted by the UE to Node B. The more frequent the reports are the more accurate the link adaptation procedure is. On the other hand, the frequent CQI reports increase uplink interference, reducing thus the signal reception quality at the uplink. In this study, we propose an improved CQI reporting scheme which aims to reduce the required CQI signaling by exploiting a CQI prediction method based on a finite-state Markov chain (FSMC) model of the wireless channel. The simulation results show that under a high downlink traffic load, the proposed scheme has a near-to-optimum performance while produces less interference compared to the respective periodic CQI scheme.

scholarly journals Impact of Feedback Channel Delay over Joint User Scheduling Scheme and Separated Random User Scheduling Scheme in LTE-A System with Carrier Aggregation

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Ahmed A. Ali ◽  
Rosdiadee Nordin ◽  
Mahamod Ismail ◽  
Huda Abdullah
Keyword(s):  
Base Station ◽  
Wireless Channel ◽  
Main Beam ◽  
Carrier Aggregation ◽  
User Scheduling ◽  
Current Channel ◽  
Scheduling Scheme ◽  
Channel Quality ◽  
Measurement Results ◽  
The Impact

In Long Term Evolution-Advanced (LTE-A), the signal quality in a wireless channel is estimated based on the channel quality measurements. The measurement results are used to select suitable modulation and coding scheme for each transmission, feedback, and processing delay, which can cause a mismatch between channel quality information (CQI) and current channel state at the base station. However, prospect delays in the reception of such CQI may lead to a system performance degradation. This study analyzes the impact of CQI feedback delay on joint user scheduling (JUS) scheme and separated random user scheduling (SRUS) scheme in LTE-A system over carrier aggregation. The analysis will be compared with the system having delayed channel and perfect knowledge at different deployment scenario. We will study the throughput performance of both scheduling schemes with different deployment scenario, and then recommend the suitable deployment scenario to keep the desired QoS for a specific number of users. Results show that, in main beam directed at sector boundaries and diverse coverage, JUS scheme performs better than SRUS, which can justify the intensive use of user equipment power and extra control signaling overhead.

DeepChannel: Wireless Channel Quality Prediction Using Deep Learning

2020 ◽  
Vol 69 (1) ◽  
pp. 443-456 ◽  
Author(s):  
Adita Kulkarni ◽  
Anand Seetharam ◽  
Arti Ramesh ◽  
J. Dinal Herath
Keyword(s):  
Deep Learning ◽  
Wireless Channel ◽  
Quality Prediction ◽  
Channel Quality

scholarly journals A Practical Secret Key Generation Scheme Based on Wireless Channel Characteristics for 5G Networks

2020 ◽  
Vol E103.D (2) ◽  
pp. 230-238
Author(s):  
Qiuhua WANG ◽  
Mingyang KANG ◽  
Guohua WU ◽  
Yizhi REN ◽  
Chunhua SU
Keyword(s):  
Wireless Channel ◽  
Key Generation ◽  
Secret Key ◽  
5G Networks ◽  
Secret Key Generation ◽  
Channel Characteristics
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