Energy-Efficient Power Allocation for an Underlay Spectrum Sharing RadioWeaves Network
Zakir Hussain Shaik, Rimalapudi Sarvendranath, Erik G. Larsson

TL;DR
This paper proposes an energy-efficient power allocation scheme for a RadioWeaves network sharing spectrum with a primary network, optimizing energy efficiency while managing interference and power constraints.
Contribution
It introduces a convex optimization-based power allocation policy for energy efficiency in spectrum-sharing RadioWeaves networks, outperforming equal power schemes.
Findings
Proposed scheme significantly improves energy efficiency.
Effective management of interference and power constraints.
Performance validated under correlated fading channels.
Abstract
RadioWeaves network operates a large number of distributed antennas using cell-free architecture to provide high data rates and support a large number of users. Operating this network in an energy-efficient manner in the limited available spectrum is crucial. Therefore, we consider energy efficiency (EE) maximization of a RadioWeaves network that shares spectrum with a collocated primary network in underlay mode. To simplify the problem, we lower bound the non-convex EE objective function to form a convex problem. We then propose a downlink power allocation policy that maximizes the EE of the secondary RadioWeaves network subject to power constraint at each access point and interference constraint at each primary user. Our numerical results investigate the secondary system's performance in interference, power, and EE constrained regimes with correlated fading channels. Furthermore, they…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
