Increasing Channel Capacity of an Ultrawideband MIMO System Using Vector Antennas

2007 ◽  
Vol 55 (10) ◽  
pp. 2880-2887 ◽  
Author(s):  
Ajit Rajagopalan ◽  
Gaurav Gupta ◽  
Anand S. Konanur ◽  
Brian Hughes ◽  
Gianluca Lazzi
Keyword(s):  
Channel Capacity ◽  
Mimo System ◽  
Vector Antennas

Channel Capacity Improvement in Near-Field MIMO System Using Metal Wires

2013 ◽  
Vol E96.B (5) ◽  
pp. 1141-1148 ◽  
Author(s):  
Dalin ZHANG ◽  
Toshikazu HORI ◽  
Mitoshi FUJIMOTO
Keyword(s):  
Channel Capacity ◽  
Mimo System ◽  
Near Field ◽  
Capacity Improvement ◽  
Metal Wires

Distributed MIMO System Design and Channel Capacity Analysis Based on Polar Orbit LEO Constellation

2021 ◽  
Vol 55 (6) ◽  
pp. 557-567
Author(s):  
Chi Zhang ◽  
Huan-yu Li ◽  
Hui Li ◽  
Zhi-yang Lin ◽  
Ping Wang
Keyword(s):  
System Design ◽  
Channel Capacity ◽  
Mimo System ◽  
Capacity Analysis ◽  
Polar Orbit

scholarly journals Capacity Analysis of Lattice Reduction Aided Equalizers for Massive MIMO Systems

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 301
Author(s):  
Samarendra Nath Sur ◽  
Rabindranath Bera ◽  
Akash Kumar Bhoi ◽  
Mahaboob Shaik ◽  
Gonçalo Marques
Keyword(s):  
Channel Capacity ◽  
Massive Mimo ◽  
Mean Squared Error ◽  
Mimo Systems ◽  
Mimo System ◽  
Correlation Effect ◽  
Performance Comparison ◽  
Lattice Reduction ◽  
Detection Algorithms ◽  
Minimum Mean Squared Error

Massive multi-input-multi-output (MIMO) systems are the future of the communication system. The proper design of the MIMO system needs an appropriate choice of detection algorithms. At the same time, Lattice reduction (LR)-aided equalizers have been well investigated for MIMO systems. Many studies have been carried out over the Korkine–Zolotareff (KZ) and Lenstra–Lenstra–Lovász (LLL) algorithms. This paper presents an analysis of the channel capacity of the massive MIMO system. The mathematical calculations included in this paper correspond to the channel correlation effect on the channel capacity. Besides, the achievable gain over the linear receiver is also highlighted. In this study, all the calculations were further verified through the simulated results. The simulated results show the performance comparison between zero forcing (ZF), minimum mean squared error (MMSE), integer forcing (IF) receivers with log-likelihood ratio (LLR)-ZF, LLR-MMSE, KZ-ZF, and KZ-MMSE. The main objective of this work is to show that, when a lattice reduction algorithm is combined with the convention linear MIMO receiver, it improves the capacity tremendously. The same is proven here, as the KZ-MMSE receiver outperforms its counterparts in a significant margin.

scholarly journals Joint Design of Massive MIMO Precoder and Security Scheme for Multiuser Scenarios under Reciprocal Channel Conditions

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Gustavo Anjos ◽  
Daniel Castanheira ◽  
Adão Silva ◽  
Atílio Gameiro ◽  
Marco Gomes ◽  
...  
Keyword(s):  
Channel Capacity ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Mimo System ◽  
Wireless Channel ◽  
Joint Design ◽  
Security Scheme ◽  
Working Principle ◽  
Transmitted Signal ◽  
Intended Receiver

The exploration of the physical layer characteristics of the wireless channel is currently the object of intensive research in order to develop advanced secrecy schemes that can protect information against eavesdropping attacks. Following this line of work, in this manuscript we consider a massive MIMO system and jointly design the channel precoder and security scheme. By doing that we ensure that the precoding operation does not reduce the degree of secrecy provided by the security scheme. The fundamental working principle of the proposed technique is to apply selective random rotations in the transmitted signal at the antenna level in order to achieve a compromise between legitimate and eavesdropper channel capacities. These rotations use the phase of the reciprocal wireless channel as a common random source between the transmitter and the intended receiver. To assess the security performance, the proposed joint scheme is compared with a recently proposed approach for massive MIMO systems. The results show that, with the proposed joint design, the number of antenna elements does not influence the eavesdropper channel capacity, which is proved to be equal to zero, in contrast to previous approaches.

scholarly journals Analysis between Various Random MIMO systems Model On the Basis of Channel Capacity

2016 ◽  
Author(s):  
Shree Krishna Acharya
Keyword(s):  
Wireless Communication ◽  
Outage Probability ◽  
Channel Capacity ◽  
Mimo Systems ◽  
Mimo System ◽  
System Model ◽  
Mimo Channel ◽  
Systems Model ◽  
Capacity Model ◽  
Mimo Channel Capacity

Finding a good MIMO system model also major issue in Wireless Communication system. It is facing with so many problem, one of the major problem is finding good system model in terms of capacity. In this paper, we analyze the channel capacity of various MIMO system model with some constant SNR level and outage probability. We establish a novel idea for MIMO system models as consider as 2N- MIMO system model with constant SNR and outage probability. The channel capacity ratio is presented here on the basis of 2N- MIMO channel capacity model. Analysis of various MIMO system model show that it is better to use NT×NR MIMO system model then two NT/2×NR/2 MIMO system model in terms of channel capacity but it is not good for higher value of NT×NR

Research on Four Water-Filling Power Distribution Schemes in MU-MIMO System

2014 ◽  
Vol 721 ◽  
pp. 635-638
Author(s):  
Yong Bo Zhang ◽  
Jian Xin Li ◽  
Wei Min Wen
Keyword(s):  
Channel Capacity ◽  
Bit Error Rate ◽  
Error Rate ◽  
Power Distribution ◽  
Mimo System ◽  
Base Station ◽  
Block Diagonalization ◽  
Total Transmission ◽  
Water Filling ◽  
Multiuser Scheduling

It is a key issue to distribute the total transmission power among different data streams leading to larger channel capacity or lower bit error rate at the base station in MU-MIMO system. Based on MU-MIMO system model applying block diagonalization precoding (BDP) this paper presented four kinds of water-filling power distribution schemes which had been simulated for random scheduling and multiuser scheduling. The simulation results showed that respective water-filling power distribution owned maximum channel capacity and united water-filling power distribution resulted in the lowest bit error rate (BER).

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