2017/05/25 by Ekant Sharma, Rohit Budhiraja, Sharma, Ekant +5
Computer Science · Engineering · #Cooperative Communication and Network Coding #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1705.09043
openalex publication_date 2017/05/25 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
We consider two-way amplify and forward relaying, where multiple full-duplex\nuser pairs exchange information via a shared full-duplex massive multiple-input\nmultiple-output (MIMO) relay. Most of the previous massive MIMO relaying works\nmaximize the spectral efficiency (SE). By contrast, we maximize the non-convex\nenergy efficiency (EE) metric by approximating it as a pseudo-concave problem,\nwhich is then solved using the classic Dinkelbach approach. We also maximize\nthe EE of the least energy-efficient user relying on the max-min approach.\nFor solving these optimization problems, we derive closed-form lower bounds for\nthe ergodic achievable rate both for maximal-ratio combining and zero-forcing\nprocessing at the relay, by using minimum mean squared error channel\nestimation. We numerically characterize the accuracy of the lower bounds\nderived. We also compare the SE and EE of the proposed design to those of the\nexisting full-duplex systems and quantify the significant improvement achieved\nby the proposed algorithm. We also compare the EE of the proposed full-duplex\nsystem to that of its half-duplex counterparts, and characterize the self-loop\nand inter-user interference regimes, for which the proposed full-duplex system\nsucceeds in outperforming the half-duplex ones.\n