FD Cell-Free mMIMO: Analysis and Optimization

We consider a full-duplex cell-free massive multiple-input-multiple-output system with limited capacity fronthaul links. We derive its downlink/uplink closed-form spectral efficiency (SE) lower bounds with maximum-ratio transmission/maximum-ratio combining and optimal uniform quantization. To reduce carbon footprint, this paper maximizes the non-convex weighted sum energy efficiency (WSEE) via downlink and uplink power control, and successive convex approximation framework. We show that with low fronthaul capacity, the system requires a higher number of fronthaul quantization bits to achieve high SE and WSEE. For high fronthaul capacity, higher number of bits, however, achieves high SE but a reduced WSEE.

[1]  Erik G. Larsson,et al.  Energy Efficiency of the Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization , 2019, IEEE Transactions on Green Communications and Networking.

[2]  Erik G. Larsson,et al.  Cell-Free Massive MIMO Versus Small Cells , 2016, IEEE Transactions on Wireless Communications.

[3]  Octavia A. Dobre,et al.  On the Spectral and Energy Efficiencies of Full-Duplex Cell-Free Massive MIMO , 2020, IEEE Journal on Selected Areas in Communications.

[4]  Athanasios D. Panagopoulos,et al.  A Framework for Weighted-Sum Energy Efficiency Maximization in Wireless Networks , 2019, IEEE Wireless Communications Letters.

[5]  ZapponeAlessio,et al.  Energy Efficiency in Wireless Networks via Fractional Programming Theory , 2015 .

[6]  Erik G. Larsson,et al.  On the Total Energy Efficiency of Cell-Free Massive MIMO , 2017, IEEE Transactions on Green Communications and Networking.

[7]  Tho Le-Ngoc,et al.  Full-Duplex Cell-Free Massive MIMO , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[8]  Eduard A. Jorswieck,et al.  Energy Efficiency in Wireless Networks via Fractional Programming Theory , 2015, Found. Trends Commun. Inf. Theory.

[9]  Xiaohu You,et al.  Performance of Network-Assisted Full-Duplex for Cell-Free Massive MIMO , 2019, IEEE Transactions on Communications.

[10]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.

[11]  Alister G. Burr,et al.  Max–Min Rate of Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization , 2019, IEEE Transactions on Communications.

[12]  Stefano Buzzi,et al.  Cell-Free Massive MIMO: User-Centric Approach , 2017, IEEE Wireless Communications Letters.