ai-agent

Matlab-code-TGCN-Mar2018: Improve Cell-Edge User Performance

Name: Matlab-code-TGCN-Mar2018: Improve Cell-Edge User Performance
Author: trinhudo

Get Matlab code for MISO-NOMA systems improvement, useful for founders in telecommunications and networking.

From the repo · “Matlab code of the paper: T. N. Do, D. B. da Costa, T. Q. Duong, and B. An, “Improving the performance of cell-edge users in MISO-NOMA systems using TAS and SWIPT-based cooperative transmissions,” IEEE Transactions on Green Communications and Networking, vol. 2, no. 1, pp. 49–62, Mar. 2018.”

advanced⏱ 1-2 hours💵 Free (self-hosted)

32 stars11 forksMATLABGuide quality 8/10 · reviewed Jul 1Updated 3/3/2022100% free · open source

What it is

Use a pre-existing Matlab code to improve cell-edge user performance in MISO-NOMA systems.

Real use case example

"A founder of a telecommunications company can use this pre-existing Matlab code to modify the cell-edge user performance in their MISO-NOMA system. First, they import the Matlab code into their project. Next, they customize the code to fit their specific MISO-NOMA system setup. Finally, they run the modified code to see the improvements in cell-edge user performance."

Best insideClaude DesktopCodex CLI

When to use it

•When optimizing MISO-NOMA systems for better cell-edge user performance
•For researching and developing cooperative transmission strategies in telecommunications
•To simulate and analyze the impact of TAS and SWIPT on MISO-NOMA system performance

Ready-to-paste prompt

Run 'TGCN_Mar2018' with 'Nb = 2' and 'K = 4' to simulate a MISO-NOMA system with 2 base stations and 4 users

Heads up: Ensure you have Matlab version R2017a or later installed, as the code uses features introduced in this version

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/matlab-code-tgcn-mar2018 && curl -fsSL https://workflowstacks.com/api/skills/matlab-code-tgcn-mar2018/claude-skill -o ~/.claude/skills/matlab-code-tgcn-mar2018/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

13K

source size

—

license

Key files

README.md

File tree

alpha_run_S1.m

alpha_run_S2.m

alpha_run_S3.m

asym_S1.m

asym_S2.m

asym_S3.m

distance_S0_random.m

distance_S1_F_sim_ana.m

distance_S2_F_sim_ana.m

distance_S3_F_sim_ana.m

fig_OMA_noncoop_coop.m

fig3_verification_S1.m

Integral_0_mu.m

Integral_mu_inf.m

non_coop_S1.m

PowerAllocation.m

README.md

rho_run_S1.m

rho_run_S2.m

rho_run_S3.m

Rth_S1.m

Rth_S2.m

Rth_S3.m

S0_random.m

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/matlab-code-tgcn-mar2018 && curl -fsSL https://workflowstacks.com/api/skills/matlab-code-tgcn-mar2018/claude-skill -o ~/.claude/skills/matlab-code-tgcn-mar2018/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

trinhudo

Language

MATLAB