Optimal Resource Allocation for NOMA Wireless Networks

نویسندگان

چکیده

The non-orthogonal multiple access (NOMA) method is a novel technique that aims to increase spectral efficiency (SE) and accommodate enormous user accesses. Multi-user signals are superimposed transmitted in the power domain at transmitting end by actively implementing controllable interference information, multi-user detection algorithms, such as successive cancellation (SIC), performed receiving demodulate necessary signals. Although its basic signal waveform, like LTE baseline, could be based on orthogonal frequency division (OFDMA) or discrete Fourier transform (DFT)-spread OFDM, NOMA superimposes numerous users domain. In contrast transmission method, can achieve higher spectrum utilization. However, it will complexity of receiver. Different allocation techniques have direct impact system’s throughput. As result, order boost system capacity, an efficient mechanism must investigated. This research developed conjugate gradient solve problem downlink distribution. major goal maximize users’ maximum weighted sum rate. suggested algorithm’s most notable feature converges global optimal solution. When compared existing methods, simulation results reveal has better capability.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal Resource Allocation for Wireless Mesh Networks

6.1 Introduction Wireless networks enable ubiquitous information and computational resource access , and become a popular networking solution. Recently, wireless mesh networks (WMN) [1, 2, 3, 4, 5, 6, 7] have attracted increasing attention and deployment as a high-performance and low-cost solution to last-mile broadband Internet access. In this chapter, we study the problem of resource allocati...

متن کامل

Asymptotic Close to Optimal Resource Allocation in Centralized Multi-band Wireless Networks

This paper concerns sub-channel allocation in multi-user wireless networks with a view to increasing the network throughput. It is assumed there are some sub-channels to be equally divided among active links, such that the total sum rate increases, where it is assumed each link is subject to a maximum transmit power constraint. This problem is found to be a non-convex optimization problem and i...

متن کامل

Optimal Resource Allocation for Wireless Networks with Inter-Cell Interference

The paper describes a Resource allocation is an important issue in orthogonal frequency division multiple access (OFDMA) systems. For multicell systems, the interference across different cells makes the optimization of resource allocation difficult. While inter cell interference (ICI) for the downlink of multi-cell systems in general and orthogonal frequency division multiple access networks, t...

متن کامل

Design Methods for Optimal Resource Allocation in Wireless Networks

Design Methods for Optimal Resource Allocation in Wireless Networks Mohammad Faisal Uddin, Ph.D. Concordia University, 2012 Wireless communications have seen remarkable progress over the past two decades and perceived tremendous success due to their agile nature and capability to provide fast and ubiquitous internet access. Maturation of 3G wireless network services, development of smart-phones...

متن کامل

Optimal Resource Allocation for Battery Limited Wireless Sensor Networks

In this paper, we study the application of the network utility maximization (NUM) framework for joint resource allocation in multi-hop single-radio wireless sensor networks with explicit consideration of sensors’ energy constraint. Traditional NUM frameworks allocate network resources aiming at maximizing the network utility as a monotonically increasing function of flow rate. However, in ad-ho...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computers, materials & continua

سال: 2023

ISSN: ['1546-2218', '1546-2226']

DOI: https://doi.org/10.32604/cmc.2023.031673