activity
20242026
collaborators

8 papers

cs.IT2026

Error Probability Analysis of Quantum Communication with Phase-squeezed M-PSK

Nikos A. Mitsiou, Ioannis Krikidis

In this paper, we investigate the symbol error probability (SEP) of phase-squeezed M-ary phase-shift keying (M-PSK). Since the relevant observable for M-PSK detection is the optica…

cs.OH2026

Q-Backbone: A Quantum-Enhanced Control Plane for Future Communication Networks

Mahdi Chehimi, Nour Dehaini, Nikos A. Mitsiou +2

Future networks will need to make network-wide decisions, including traffic engineering, network slicing, and wireless optimization, under strict latency, energy, and reliability c…

cs.IT2025

Waveform Design for Over-the-Air Computing

Nikos G. Evgenidis, Nikos A. Mitsiou, Sotiris A. Tegos +4

In response to the increasing number of devices expected in next-generation networks, a shift to over-the-air (OTA) computing has been proposed. By leveraging the superposition of…

cs.IT2025

On the Computability of Finding Capacity-Achieving Codes

Angelos Gkekas, Nikos A. Mitsiou, Ioannis Souldatos +1

This work studies the problem of constructing capacity-achieving codes from an algorithmic perspective. Specifically, we prove that there exists a Turing machine which, given a dis…

cs.ET2025

Quantum Approximate Optimization Algorithm for MIMO with Quantized b-bit Beamforming

Nikos A Mitsiou, Ioannis Krikidis, George K Karagiannidis

Multiple-input multiple-output (MIMO) is critical for 6G communication, offering improved spectral efficiency and reliability. However, conventional fully digital designs face sign…

cs.LG2025

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks

Nikos A. Mitsiou, Pavlos S. Bouzinis, Panagiotis G. Sarigiannidis +1

The optimal solution to an optimization problem depends on the problem's objective function, constraints, and size. While deep neural networks (DNNs) have proven effective in solvi…