scholarly journals Full-Duplex Massive MIMO Cellular Networks with Low Resolution ADC/DAC

2021 ◽  
Author(s):  
Elyes Balti
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Scaling Laws ◽  
Multiple Input Multiple Output ◽  
Hexagonal Lattice ◽  
Analytical Framework ◽  
Base Stations ◽  
Full Duplex ◽  
Low Resolution ◽  
Special Cases

In this paper, we provide an analytical framework for full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular networks with low resolution analog-to-digital and digital-to-analog converters (ADCs and DACs). Matched filters are employed at the FD base stations (BSs) at the transmit and receive sides. For both reverse and forward links, we derive the expressions of the signal-to-quantization-plus-interference-and-noise ratio (SQINR) for general and special cases. We further evaluate the outage probability and spectral efficiency for reverse and forward links, and quantify the effects of the quantization error, loopback self-interference and inter-user interference for cells arranged in a hexagonal lattice and Poisson Point Process (PPP) tessellations. Finally, we derive analytical expressions for spectral efficiency for asymptotic cases as well as for power scaling laws.

Results on Energy- and Spectral-Efficiency Tradeoff in Cellular Networks With Full-Duplex Enabled Base Stations

2017 ◽  
Vol 16 (3) ◽  
pp. 1494-1507 ◽  
Author(s):  
Dingzhu Wen ◽  
Guanding Yu ◽  
Rongpeng Li ◽  
Yan Chen ◽  
Geoffrey Ye Li
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Base Stations ◽  
Full Duplex

scholarly journals Evaluation of Development Level and Technical Contribution of Recent Technologies Adopted to Meet the Challenges of 5G Wireless Cellular Networks

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 635
Author(s):  
Saleh Albadran
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Communication Systems ◽  
Large Scale ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Radio Link ◽  
Media Industry ◽  
Wireless Cellular Networks ◽  
Development Level

The evolution of the global wireless market is accompanied by an increased need in terms of speed and number of users, lower latency, better coverage, better spectral efficiency and quality of service, etc. To meet these needs, 5G has recently been introduced as an effective solution which targets, via the large scale deployment of symmetric antennas, a wide variety of sectors such as energy, health, media, industry, transport and especially wireless cellular networks which are among the most important pillars of modern societies. Multiple Input, Multiple Output (MIMO) systems, which have been extended to “Massive MIMO” mode and which consist of increasing the number of radiating elements involved in the transmission and reception of the radio link, are a very promising solution for improving the spectral efficiency of wireless communication systems (WCSs). Motivated by the aforementioned developments, the present paper investigates the increased capacity of MIMO systems to improve transmission in WCSs using 5G. It carefully focuses on the evaluation of the development level and technical contribution of MIMO systems and millimeter wave (mmWave) bands in 5G wireless cellular networks (WCNs) and gives important recommendations.

scholarly journals Towards Green and Soft: 5G Design Considerations

2020 ◽  
Vol 2 (3) ◽  
pp. 19
Author(s):  
Chih-Lin I ◽  
Shuangfeng Han ◽  
Zhikun Xu ◽  
Zhengang Pan
Keyword(s):  
Spectral Efficiency ◽  
Network Capacity ◽  
Mobile Internet ◽  
Base Stations ◽  
Full Duplex ◽  
The Internet ◽  
Design Considerations ◽  
5G Technologies ◽  
The Internet Of Things ◽  
Network Power

As the commercial deployment of 4G systems is picking up, technologists worldwide are beginning to search for next-generation wireless solutions to meet the anticipated demands in the 2020 era given the explosive growth of mobile Internet and the Internet of Things (IoT). This article presents our perspectives of the 5G technologies with two major themes: Green and Soft. By rethinking the Shannon theorem and traditional cell-centric design, network capacity can be significantly increased while network power consumption is steady or even decreased. The feasibility of the combination of Green and Soft is investigated through five interconnected areas of research: energy efficiency and spectral efficiency co-design, no more cells, rethinking signalling/control, invisible base stations, and full duplex radio.

scholarly journals Optimal Topology Formation and Adaptation of Integrated Access and Backhaul Networks

2021 ◽  
Vol 1 ◽  
Author(s):  
Meryem Simsek ◽  
Murali Narasimha ◽  
Oner Orhan ◽  
Hosein Nikopour ◽  
Wei Mao ◽  
...  
Keyword(s):  
Cellular Networks ◽  
High Speed ◽  
Random Sequence ◽  
Multiple Input Multiple Output ◽  
Optimal Solution ◽  
Network Capacity ◽  
Base Stations ◽  
Optimal Topology ◽  
Wireless Backhaul ◽  
Topology Formation

With the increasing densification of cellular networks, it has become exceedingly difficult to provide traditional fiber backhaul access to each cell site, which is especially true for small cell base stations (SBSs). The increasing maturity of millimeter wave (mmWave) communication coupled with multiple-input-multiple-output (MIMO) and beamforming technologies has opened up the possibility of providing high-speed wireless backhaul to such cell sites. The third-generation partnership project (3GPP) is defining an integrated access and backhaul (IAB) architecture for the fifth-generation (5G) cellular networks, in which the same infrastructure and spectral resources are used for both the access and the backhaul. In IAB networks, SBSs, so-called IAB nodes, act either as relay nodes carrying the traffic through multiple hops from a macrocell to an end user and vice versa or as access points to serve user equipments (UEs) in their proximity. To this end, the topology of such IAB networks is essential to enable efficient traffic flow and minimize congestion or increase robustness to backhaul link failure. In this paper, we propose a topology formation algorithm together with methodologies to implement it in real networks and compare it with a standard random sequence approach as well as with an optimal topology obtained using dynamic programming. Our simulation results demonstrate that the proposed algorithm outperforms the random sequence approach by 26% on average in terms of lower bound of the network capacity and is up to 99.7% close to the optimal solution, while being significantly less complex.

scholarly journals New framework for interference and energy analysis of soft frequency reuse in 5G networks

2020 ◽  
Vol 9 (5) ◽  
pp. 1941-1949
Author(s):  
Achonu Adejo ◽  
Osbert Asaka ◽  
Habeeb Bello- Salau ◽  
Caroline Alenoghena
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Network Performance ◽  
Base Station ◽  
Frequency Reuse ◽  
Base Stations ◽  
System Capacity ◽  
Management Technique ◽  
5G Networks ◽  
Soft Frequency Reuse

Cellular networks are expanding massively due to high data requirements from mobile devices. This has motivated base station densification as an essential requirement for the 5G network. The implication is obvious benefits in enhanced system capacity, but also increased challenges in terms of interference. One important interference management technique which has been widely adopted in cellular networks is frequency reuse. In this article, an analysis is presented based on network interference and energy expended by base stations in downlink communication when Soft frequency reuse (SFR) is deployed. A framework is presented that captures the bandwidth overlaps in SFR across base station assignments, computes the interference probabilities arising and derives new performance equations which are verified using simulations. Results show an improvement of over previous SFR implementations that do not consider the interference probabilities. Thus, a more in-depth and accurate modelling of SFR in 5G networks is achieved. Furthermore, the downlink power allocation is investigated as against other parameters like the center ratio and edge bandwidth. The result shows that signal-to-interference-noise ratio (SINR) and spectral efficiency give different performance under energy consideration. A framework is developed on how to tune a base station to achieve desired network performance in user SINR or cell spectral efficiency depending on the operator’s preference.

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