Joint power optimization and scaled beamforming approach in B5G network based massive MIMO enabled HetNet with full-duplex small cells

Autor: Noor Mohammed Vali Mohamad, Malini Balachandran
Rok vydání: 2020
Předmět:
Zdroj: Peer-to-Peer Networking and Applications. 14:333-348
ISSN: 1936-6450
1936-6442
Popis: Fifth generation (5G) mobile communication networks have the ability to deal with the growing need for increased data rates, decreased network latencies, low power consumption, seamless coverage, and massive connectivity while sustaining the high Quality of Service (QoS) at the subscriber’s end. The key drivers of beyond 5G (B5G) are anticipated to be the convergence of all the features of 5G and B5G becomes more heterogeneous with the different small cell access points and massive multiple-input multiple-output (massive MIMO). In this work, the macro base station enabled with massive MIMO technology and the small cell access points possessing the full-duplex communication ability in a heterogeneous network (HetNet) is investigated. The prime objective is to optimize the power utilization by employing scaled beamforming and power allocation techniques with reduced complexity while sustaining the QoS in a full-duplex massive MIMO enabled HetNet with small cells. The joint power optimization and scaled beamforming algorithm is used to maximize the sum rates with reduced power consumption when compared to multi-flow zero-forcing (MZF) beamforming. The complexity analysis is also carried out by optimizing the number of transmission antennas and users.
Databáze: OpenAIRE
Externí odkaz: