Channel Capacity of BLAST based on the Zero-Forcing criterion

이흔철(Heunchul Lee),김희진(Heejin Kim),이인규(Inkyu Lee) 대한전자공학회 2008 電子工學會論文誌-TC (Telecommunications) Vol.45 No.12

본 논문에서는 신호 대 잡음 비의 관점에서 Zero-Forcing 기반의 BLAST(Bell Labs Layered Space-Time) 구조의 채널 capacity를 점근적으로 분석하고자 한다. MIMO 채널 capacity에 관한 새로운 관계를 소개하고, ZF에 기반한 간섭 무효화를 수행할 때 DBLAST(Diagonal BLAST)에 의해 MIMO 채널의 하한값에 이름을 증명한다. 채널 capacity의 확률 밀도 함수의 정확한 최종식을 분석하고, 각 계층의 채널 capacity의 점근적 현상에 기반한 점근적 ergodic capacity의 최종식을 BLAST에서 유도한다. 본 논문에서 다뤄진 분석에 의해 MIMO 채널의 capacity 현상에 대한 통찰할 수 있다. 모의 실험의 결과를 통해서, 본 논문에서 다뤄진 광범위한 안테나 배열 사이즈에 대한 분석의 타당성과 정확성을 보여주고자 한다. In this paper, we present an asymptotical analysis of channel capacity of Bell labs layered space-time (BLAST) architectures based on a zero-forcing (ZF) criterion in the sense of signal-to-noise ratio (SNR). We begin by introducing a new relationship related to multi-input multi-output (MIMO) channel capacity. We prove that Diagonal Bell Labs Space-Time (DBLAST) attains the lower bound for MIMO channels when interference nulling is carried out based on the ZF-criterion. An exact closed-form expression for the probability density function of the channel capacity is analyzed. Based on the asymptotic behavior of the channel capacity of each layer, closed-form expressions for the asymptotic ergodic capacity are derived for BLAST. Based on the analysis presented in this paper, we gain an insight on the channel capacity behavior for a MIMO channel. Computer simulation results have verified the validity and accuracy of the proposed analysis for a wide range of antenna array sizes.

Channel Capacity for NOMA Weak Channel User and Capacity Region for NOMA with Gaussian Mixture Interference

Kyuhyuk Chung 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.1

Non-orthogonal multiple access (NOMA) has been considered for the fifth generation (5G) mobile networks to provide high system capacity and low latency. We calculate the channel capacity for the weak channel user in NOMA and the channel capacity region for NOMA. In this paper, Gaussian mixture channel is compared to the additive white Gaussian noise (AWGN) channel. Gaussian mixture channel is modeled when we assume the practical signal modulation for the inter user interference, such as the binary phase shift keying (BPSK) modulation. It is shown that the channel capacity with BPSK inter user interference is better than that with Gaussian inter user interference. We also show that the channel capacity region with BPSK inter user interference is larger than that with Gaussian inter user interference. As a result, NOMA could perform better in the practical environments.

A Complete Mathematical Modeling and Simulation of Ergodic Channel Capacity of Wireless Random MIMO System

Sandeep Thakur,Abishek Naithani 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.11

In this article we described the channel capacity of random MIMO channel when CSI is not available at transmitter side. The channel correlation is directly related to capacity of MIMO channel. Also we consider the capacity of MIMO channel when the channel gain between transmitter and receiver is correlated. We compute mathematical equation for calculation of ergodic channel capacity of random MIMO system. MIMO system have very large impact on channel capacity, so it is very necessary to analyze all parameter which are responsible for very high speed data transmission. Because day by day there is very high need of technologies which provide high data transmission. All the simulation in this article are done with the help of MATLAB/Simulink software.

On Additive Signal Dependent Gaussian Noise Channel Capacity for NOMA in 5G Mobile Communication

Kyuhyuk Chung 한국인터넷방송통신학회 2020 International Journal of Internet, Broadcasting an Vol.12 No.2

The fifth generation (5G) mobile communication has been commercialized and the 5G applications, such as the artificial intelligence (AI) and the internet of things (IoT), are deployed all over the world. The 5G new radio (NR) wireless networks are characterized by 100 times more traffic, 1000 times higher system capacity, and 1 ms latency. One of the promising 5G technologies is non-orthogonal multiple access (NOMA). In order for the NOMA performance to be improved, sometimes the additive signal-dependent Gaussian noise (ASDGN) channel model is required. However, the channel capacity calculation of such channels is so difficult, that only lower and upper bounds on the capacity of ASDGN channels have been presented. Such difficulties are due to the specific constraints on the dependency. Herein, we provide the capacity of ASDGN channels, by removing the constraints except the dependency. Then we obtain the ASDGN channel capacity, not lower and upper bounds, so that the clear impact of ASDGN can be clarified, compared to additive white Gaussian noise (AWGN). It is shown that the ASDGN channel capacity is greater than the AWGN channel capacity, for the high signal-to-noise ratio (SNR). We also apply the analytical results to the NOMA scheme to verify the superiority of ASDGN channels.

Channel Capacity for NOMA Weak Channel User and Capacity Region for NOMA with Gaussian Mixture Interference

Chung, Kyuhyuk Institute of Korean Electrical and Electronics Eng 2019 전기전자학회논문지 Vol.23 No.1

Non-orthogonal multiple access (NOMA) has been considered for the fifth generation (5G) mobile networks to provide high system capacity and low latency. We calculate the channel capacity for the weak channel user in NOMA and the channel capacity region for NOMA. In this paper, Gaussian mixture channel is compared to the additive white Gaussian noise (AWGN) channel. Gaussian mixture channel is modeled when we assume the practical signal modulation for the inter user interference, such as the binary phase shift keying (BPSK) modulation. It is shown that the channel capacity with BPSK inter user interference is better than that with Gaussian inter user interference. We also show that the channel capacity region with BPSK inter user interference is larger than that with Gaussian inter user interference. As a result, NOMA could perform better in the practical environments.

Channel Capacity for NOMA Weak Channel User and Capacity Region for NOMA with Gaussian Mixture Interference

정규혁 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.1

Non-orthogonal multiple access (NOMA) has been considered for the fifth generation (5G) mobile networks toprovide high system capacity and low latency. We calculate the channel capacity for the weak channel user inNOMA and the channel capacity region for NOMA. In this paper, Gaussian mixture channel is compared to theadditive white Gaussian noise (AWGN) channel. Gaussian mixture channel is modeled when we assume thepractical signal modulation for the inter user interference, such as the binary phase shift keying (BPSK)modulation. It is shown that the channel capacity with BPSK inter user interference is better than that withGaussian inter user interference. We also show that the channel capacity region with BPSK inter user interferenceis larger than that with Gaussian inter user interference. As a result, NOMA could perform better in the practicalenvironments.

Transmit Antenna Selection for Dual Polarized Channel Using Singular Value Decision

Lee Sang-yub,Mun Cheol,Yook Jong-gwan The Korea Institute of Information and Commucation 2005 韓國通信學會論文誌 Vol.30 No.9a

In this paper, we focus on the potential of dual polarized antennas in mobile system. thus, this paper designs exact dual polarized channel with Spatial Channel Model (SCM) and investigates the performance for certain environment. Using proposed the channel model; we know estimates of the channel capacity as a function of cross polarization discrimination (XPD) and spatial fading correlation. It is important that the MIMO channel matrix consists of Kronecker product dividable spatial and polarized channel. Through the channel characteristics, we propose an algorithm for the adaptation of transmit antenna configuration to time varying propagation environments. The optimal active transmit antenna subset is determined with equal power allocated to the active transmit antennas, assuming no feedback information on types of the selected antennas. We first consider a heuristic decision strategy in which the optimal active transmit antenna subset and its system capacity are determined such that the transmission data rate is maximized among all possible types. This paper then proposes singular values decision procedure consisting of Kronecker product with spatial and polarize channel. This method of singular value decision, which the first channel environments is determined using singular values of spatial channel part which is made of environment parameters and distance between antennas. level of correlation. Then we will select antenna which have various polarization type. After spatial channel structure is decided, we contact polarization types which have considerable cases It is note that the proposed algorithms and analysis of dual polarized channel using SCM (Spatial Channel Model) optimize channel capacity and reduce the number of transmit antenna selection compare to heuristic method which has considerable 100 cases.

Capacity Bounds on the Ergodic Capacity of Distributed MIMO Systems over K Fading Channels

( Xingwang Li ),( Junfeng Wang ),( Lihua Li ),( Charles C. Cavalcante ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7

The performance of D-MIMO systems is not only affected by multipath fading but also from shadowing fading, as well as path loss. In this paper, we investigate the ergodic capacity of D-MIMO systems operating in non-correlated fading (Rayleigh/Gamma) channels. With the aid of majorization and Minkowski theory, we derive analytical closed-form expressions of the upper and lower bounds on the ergodic capacity for D-MIMO systems over non-correlated K fading channels, which are quite general and applicable for arbitrary signal-to-noise ratio (SNR) and the number of transceiver antennas. To intuitively reveal the impacts of system and fading parameters on the ergodic capacity, we deduce asymptotic approximations in the high and low SNR regimes. Finally, we pursue the massive MIMO systems analysis for the lower bound and derive closed-form expressions when the number of antennas at BS grows large, and when the number of antennas at transceivers becomes large with a fixed and finite ratio. It is demonstrated that the proposed expressions on the ergodic capacity accurately match with the theoretical analysis.

일반화된 K 페이딩 채널에서 디지털 워터마킹 기법을 이용한 부가데이터 전송 기법

김주찬,김진영 한국인터넷방송통신학회 2010 한국인터넷방송통신학회 논문지 Vol.10 No.2

본 논문에서는 디지털 워터마킹 기법을 이용하여 부가데이터를 전송하기 위해 일반화된 K 페이딩 채널에서의 채널용량 수식을 유도하였다. 대역확산 워터마킹 기법(Spread Spectrum Watermarking: SSW)은 디지털 워터마킹 기법 중의 하나로 무선 채널에서 잡음에 대해 강인한 특성을 지니며, 수신단에서의 신호 검출이 상관기에 의해 간단히 이루어지기 때문에 널리 사용되는 방식이다. 대역확산 워터마킹 기법에 의해 생성된 부가데이터를 무선통신 시스템에 적용하기 위해서는 워터마킹 신호가 무선 채널에 의해 받는 영향에 대한 연구가 필수적으로 요구된다. 모의실험 결과로부터 대역확산 워터마킹 시스템의 채널용량이 HWR, WNR, fx, 그리고 PN 시퀀스의 길이에 따라 변화함을 확인하였고, 또한 적정 데이터를 전송하기 위하여 필요한 HWR과 WNR의 레벨을 수식으로부터 결정할 수 있음을 보였다. 본 논문의 결과는 PN 시퀀스를 이용하는 일반적인 대역확산 워터마킹 시스템에 적용할 수 있다. In this paper, we derive the channel capacity in order to transmit an additional data by using digital watermarking method in generalized-K fading channel. Spread spectrum watermarking is one of the digital watermarking methods which is the most promising technique due to it's very robustness to the channel noise and easy achieving of the signal detection by correlators at the receiver. It is important to analyze the channel capacity to transmit an additional data through wireless channel because the transmitted data would be affected by the channel fading effects. From the results, we confirm that the channel capacity of the SSW system can be determined by the HWR, WNR, PN length and host sampling frequency. Also, we verified that the level of HWR and WNR can be determined by the derived capacity formula. The results of this paper can be applied to general spread spectrum watermarking system.

Channel Capacity Maximization in a Distorted 2×2 LOS MIMO Link

Ko, In-Chang,Park, Hyung-Chul The Korea Institute of Information and Commucation 2018 Journal of information and communication convergen Vol.16 No.2

This paper presents a novel channel capacity maximization method for a distorted $2{\times}2$ line-of-sight (LOS) multiple-input multiple-output (MIMO) link. A LOS MIMO link may be distorted by the influence of environmental factors such that the channel capacity of the LOS MIMO link may be degraded. By using the proposed method, the channel capacity of a distorted $2{\times}2$ LOS MIMO link can be the same as that of the ideal $2{\times}2$ LOS MIMO link. The proposed method employs an additional receiver antenna to maximize the channel capacity. In contrast to a $3{\times}2$ LOS MIMO link, a receiver circuit for a third receiving antenna is not necessary. Hence, the receiver for the proposed method is much simpler than that for a $3{\times}2$ LOS MIMO link. We determine the optimal position of the additional receiver antenna analytically. Simulation results show that the channel capacity can approach the ideal using the proposed method.