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Master thesis: Key-Value Cache Management in Mobile Networks

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Artificial Intelligence

In short

This Master's thesis project focuses on Key-Value (KV) cache management in dynamic mobile networks, investigating strategies for LLM inference under conditions of user mobility and varying wireless links. The project involves literature review, testbed development simulating realistic mobile network scenarios, and evaluation of cache management approaches.

Responsibilities

  • Examine KV cache management for LLM inference, including load balancing, quantization and compression, prefix caching, and prefix-cache-aware request routing.
  • Build a testbed to simulate realistic mobile-network conditions such as time-varying wireless links, fading, interference, throughput and latency variation, congestion, user mobility, and handovers between base stations.
  • Support multiple users sharing cache and network resources, different KV cache strategies, and different network traces.
  • Benchmark existing and proposed approaches, such as transferring versus rebuilding the cache during handover and mobility-aware prefix routing.
  • Compare compute cost, latency, and energy efficiency across network conditions, and analyze the trade-offs.
  • Write a thesis report and present your results at Ericsson Research.
  • Propose and develop own ideas within the project.

Requirements

  • Pursuing a master’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Computer Engineering, or a related field.
  • Strong programming skills in Python and PyTorch.
  • Fluency in English.

Desired Qualifications

  • Coursework or experience in AI; a background in machine learning and neural networks is preferred.
  • Interest in AI research or building end-to-end AI prototypes.
  • Knowledge of Git is an advantage.
  • Familiarity with network simulators such as ns-3 is beneficial.

Benefits

  • Opportunity to propose and develop own ideas within the project.
  • Present results at Ericsson Research.

Skills

PythonPyTorchGitns-3
#KV cache#mobile networks#AI#machine learning#neural networks#LLM
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Company

Ericsson

Job Posted

3 days ago

Employment Type

Internship

Work mode

On Site

Experience Level

Entry

Locations

Stockholm, Sweden

Qualification

Master

Applicants

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