搜索资源列表
NOMA_ZF
- 5G 技术 NOMA 运用ZF SIC 可简单使用-NOMA with ZF SIC
NOMA_shu
- 基于NOMA的功率分配，采用树形算法，根据不同用户的信噪比大小，一定的约束关系，分配功率-NOMA power allocation based on the use of tree algorithm, depending on the size of the user' s SNR, certain constraints, power distribution
gudinggonglv
- 这是在非正交（NOMA）环境下对用户的功率分配采用固定分配，前后用户功率比满足一定的要求-This is at a non-orthogonal (NOMA) environment on the user' s power allocation fixed allocation before and after the user power ratio meet certain requirements
Matlab程序-NOMA系统中断概率和系统吞吐量仿真
- 对NOMA系统的用户中断概率和系统吞吐量进行了数值仿真，并进行了蒙特卡洛仿真验证。
Outage
- NOMA系统计算用户中断概率和系统吞吐量。(The outage probability and system throughput of NOMA system.)
noma code
- it is a code for discrete wavelet transform
PUDN
- the coding consists of noma power allocation and SIC in 64 QAM modulation.
Simulations_2
- 对NOMA下行链路的用户和信道功率分配的优化(Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access (NOMA) Network)
power allocatin
- noma的固定算法和树形算法的matlab仿真，可以直接运行。(Matlab simulation of fixed algorithm and tree algorithm of noma can run directly.)
91-03-5g-2
- NOMA technology for 5G
08214974
- Multi-Objective Resource Allocation in a NOMA Cognitive Radio Network With a Practical Non-Linear Energy Harvesting Model
Outage
- NOMA系统计算用户中断概率和系统吞吐量。(Noma system calculates the outage probability and system throughput.)
matlab-code
- code matlab massive mimo noma
Cell-Free-massive MIMO with NOMA
- massive MIMO with NOMA
NOMAfasong
- 介绍了noma在lte下的两个用户如何资源分配以及接收端sic技术的仿真结果。(This paper introduces how to allocate resources between two users of noma under LTE and the simulation results of SiC at the receiver.)
NOMAcode
- NOMA系统的仿真代码，在lte的环境下运行，两个用户仿真比较误码。(The simulation code of NOMA system runs in LTE environment, and the error codes of two users are compared by simulation.)
Energy_Noma
- Energy Efficient for NOMA Systems
NOMA基础叠加编码
- 向你展示最基础的NOMA的叠加编码，让初学者更好的理解，NOMA的原理，有助于今后学习。
noma双用户模型
- noma双用户模型，一个基站两个用户，对比了NOMA和OMA系统
Deterministic Message Passing Algorithm SCMA in NOMA 5G
- Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal techniques, SCMA enjoys higher overloading tolerance and lower complexity