DCC: CF-MIMO- A new Dynamic Cooperation Cluster Driven Cell-Free Massive MIMO Architecture Network for Future Networks

Author:

Sheikh Javaid Ahmad,Akhter Haseena,Mustafa Frahana

Abstract

Abstract This paper investigates and studies the Cell Free massive Multiple Input Multiple Output ( MIMO ) in which Access pints are aided by the optimized multiple antenna system. The proposed cell-free network has the ability to address many of the interference problems that currently affect cellular networks. More importantly in such networks a major issue and the research problem is to practically achieve cell free operation and desired computing efficiency. Fronthaul needs and scalability for larger networks are other challenges which needs due consideration. To address such challenging issues, we incorporate the concept of dynamic cooperation cluster to develop a new framework for scalable CF-Massive-MIMO system. The A* Algorithm has been exploited to enhance the signal-to-noise-plus-interference ratio (SNIR), capacity and throughput. Moreover, the traditional channel estimation, pre-coding, and combining techniques have also been scaled in the proposed technique. A new Uplink and Downlink duality based on vector combining is demonstrated for the heuristic creation of precoding vectors.

Publisher

Research Square Platform LLC

Reference30 articles.

1. Pham, V., et al.: "A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art," in IEEE Access, vol. 8, pp. 116974–117017, (2020). 10.1109/ACCESS.2020.3001277

2. Elmeadawy, S.: RM Shubair – 6G wireless communications: Future technologies and research challenges international conference on computing technologies and applications (ICECTA) 1–5, Publisher IEEE. (2019)

3. A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art;ZHiguo DQ-V;IEEE Access.,2020

4. Marzetta, T.L.: “Noncooperative cellular wireless with unlimited numbers of base station antennas,” IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590–3600, Nov. (2010)

5. Letaief, K.B., Chen, W., Shi, Y., Zhang, J., Zhang, Y.-J.-A.: “The roadmap to 6G: AI empowered wireless networks,” IEEE Commun. Mag., vol. 57, no. 8, pp. 84–90, Aug. (2019)

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