scholarly journals An Implementation of Adaptive Classification Exploration for Channel Estimation in Mu-Mimo

A gigantic multi-customer versatile multi-input different yield (MIMO-MU) Wireless Communications structures, reference to the base station (BS) is made is furnished with a tremendous In LTE faster (LTE-A) without modulation position pictures are utilized for pilot upheld station estimation to perform clear disclosure. Since these reference pictures are conveyed at the vague time-repeat places for whole customers of Multiuser MIMO (MIM-MU) movements of the each and every spatial layer in Solo-User MIMO (MIMO-SU) proposed to be code-space even for you to be recognizable on the authority. This balance is gotten by technique for reliably moving an location sign stand variety, when a accurate repeated move regards are motioned to each person. In this canvases we show formal indistinguishable quality of MU-MIMO& SU-MIMO of a LTE-An uplink inside the setting of channel estimation. When we are planning a general pleasing map the assign cyclic developments to customers with the ultimate objective the MIMO-SU evaluation strategies are material in addition for MU-MIMOA and send. Further we show the tradeoff among the measure of dynamic customers and the redirect's repeat discrimination in MIMO-MU movement for to the rest of the control estimation botches

Author(s):  
Li Wei ◽  
Chongwen Huang ◽  
George C. Alexandropoulos ◽  
Chau Yuen ◽  
Zhaoyang Zhang ◽  
...  

2018 ◽  
Vol 14 (11) ◽  
pp. 155014771881109 ◽  
Author(s):  
Pan Zhao ◽  
Lei Feng ◽  
Peng Yu ◽  
Wenjing Li ◽  
Xuesong Qiu

The explosive demands for mobile broadband service bring a major challenge to 5G wireless networks. Device-to-device communication, adopting side links for user-direct communication, is regarded as a main technical source for offloading large volume of mobile traffic from cellular base station. This article investigates the joint power and subcarrier allocation scheme for device-to-device communication in 5G time division duplex systems. In time division duplex system, instead of utilizing an exclusive portion of the precious cellular spectrum, device-to-device pairs reuse the subcarriers occupied by cellular users, thus producing harmful interference to cellular users in both uplink and downlink communication, and strongly limiting the spectrum efficiency of the system. To this end, we focus on the maximization of device-to-device throughput while guaranteeing both uplink and downlink channel quality of service of cellular users as well as device-to-device pairs. The problem is formulated as a mixed integer non-linear programming (MINLP) problem. To make it tractable, we separate the original MINLP problem into two sub problems: power allocation and sub-carrier reusing. The former is to develop optimal power allocation for each device-to-device pair and each cellular user, with the constraints of maximum power and quality of service. It is solved by geometric programming technique in convex optimization method. The latter is derived as a one-to-many matching problem for scheduling multiple subcarriers occupied by cellulars to device-to-device pairs. It is solved by Hungarian method. Simulation results show that the proposed scheme significantly improves system capacity of the device-to-device underlay network, with quality of service of both device-to-device users and cellular users guaranteed.


1970 ◽  
Vol 2 (1) ◽  
pp. 53-59
Author(s):  
Ralph K. Davidson

Today, the need for economic development is self-evident to the millions of people in Asia, Africa and Latin America who suffer from malnutrition, are ill-housed, poorly educated, and either unemployed or grossly underemployed. The ultimate objective of economic development is to raise the standard of life – the quality of life - for the mass of the people, to widen their area of choice, to open up new opportunities for human well-being. The less developed countries have two-thirds of the 3.5 billion people but receive only 12.5 percent of the world's gross national product. Life appears to be an economic treadmill with the future blighted by an excessive rate of population growth for millions of people. India provides a good illustration of the problem. With an estimated population of 525 million at mid-1968, India had 15 percent of the world's population, 2.4 percent of the world's land area, hardly 2 percent of the world's income, and an annual per capita income level of around $75.


2021 ◽  
Vol 19 (2) ◽  
pp. 41-48
Author(s):  
Yu. V. Nemtsov ◽  
I. V. Seryogin ◽  
P. I. Volnov

Base station (BS) is a terminal device of a radio communication network, while railway radio communications play an important role in ensuring safety of passenger and cargo transportation.A proposed method for calculating the performance of base stations in railway digital radio communication networks is intended to calculate for the BS the probabilities of being in certain state.BS was decomposed and such functional elements as circuit groups and a radio frequency path were identified, as well as the central module ensuring the exchange of information with elements of this BS and with other BSs. A detailed study of each element has increased accuracy of the proposed method. Following the Markov model, BS is presented as a system in which all possible states are considered. Models for BS with two and three circuit groups have been constructed. The parameters of each functional element of the model can be obtained through observation over a certain period. The solution of the system of equations for each of the models presented in the article will allow obtaining the values of the system being in a certain state. The obtained characteristics can be used to calculate the reliability of the entire radio communication network, and then to assess quality of service provided to the users of this network.Conclusions are made about the possibilities of using the obtained models when designing new railway communication networks and when calculating quality indices of existing ones. The proposed models can be applied not only to railway radio communication networks but also to mobile communication networks of commercial operators. 


2021 ◽  
Author(s):  
Vahid Jamali

Most algorithms developed so far for the optimization of Intelligent Reflecting Surfaces (IRSs) require knowledge of full Channel State Information (CSI). However, the resulting acquisition overhead constitutes a major bottleneck for the realization of IRS-assisted wireless systems in practice. In contrast, in this paper, focusing on downlink transmissions from a Base Station (BS) to a Mobile User (MU) that is located in a blockage region, we propose to optimize the IRS for illumination of the area centered around the MU. Hence, the proposed design requires the estimation of the MU’s position and not the full CSI. For a given IRS phase-shift configuration, the end-to-end BS-IRS-MU channel can then be estimated using conventional channel estimation techniques. The IRS reconfiguration overhead for the proposed scheme depends on the MU mobility as well as how wide the coverage of the IRS illumination is. Therefore, we develop a general IRS phase-shift design, which is valid for both the near- and far-field regimes and features a parameter for tuning the size of the illumination area. Moreover, we study a special case where the IRS illuminates the entire blockage area, which implies that the IRS phase shifts do not change over time leading to zero overhead for IRS reconfiguration.


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