Joint resource allocation with energy harvesting base stations in two adjacent cells

Author(s):  
Huizhi Tong ◽  
Guangchi Zhang ◽  
Linqing Wan ◽  
Miao Cui ◽  
Yijun Liu ◽  
...  
2020 ◽  
Vol 107 ◽  
pp. 102221 ◽  
Author(s):  
Zhenyu Na ◽  
Xin Wang ◽  
Jingcheng Shi ◽  
Chungang Liu ◽  
Yue Liu ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3946 ◽  
Author(s):  
Chunling Peng ◽  
Fangwei Li ◽  
Huaping Liu ◽  
Guozhong Wang

A joint resource allocation algorithm to minimize the system outage probability is proposed for a decode-and-forward (DF) two-way relay network with simultaneous wireless information and power transfer (SWIPT) under a total power constraint. In this network, the two sources nodes exchange information with the help of a passive relay, which is assumed to help the two source nodes’ communication without consuming its own energy by exploiting an energy-harvesting protocol, the power splitting (PS) protocol. An optimization framework to jointly optimize power allocation (PA) at the source nodes and PS at the relay is developed. Since the formulated joint optimization problem is non-convex, the solution is developed in two steps. First, the conditionally optimal PS ratio at the relay node for a given PA ratio is explored; then, the closed-form of the optimal PA in the sense of minimizing the system outage probability with instantaneous channel state information (CSI) is derived. Analysis shows that the optimal design depends on the channel condition and the rate threshold. Simulation results are obtained to validate the analytical results. Comparison with three existing schemes shows that the proposed optimized scheme has the minimum system outage probability.


2021 ◽  
Author(s):  
Yoghitha Ramamoorthi ◽  
Masashi Iwabuchi ◽  
Tomoki Murakami ◽  
Tomoaki Ogawa ◽  
Yasushi Takatori

<p>The next generation 6G wireless systems are envisioned to have higher reliability and capacity than the existing cellular systems. The reconfigurable intelligent surfaces (RISs) is one of the promising solution to control the wireless channel by altering the electromagnetic properties of the signal. The dual connectivity (DC) increases the per-user throughput by utilizing radio resources from two different base stations. In this work, we propose the RIS assisted DC system to improve the per-user throughput of the users by utilizing resources from two base stations (BSs) in proximity via different RISs. Given an fairness based utility function, the joint resource allocation and the user scheduling of RIS assisted DC system is formulated as an optimization problem and the optimal user scheduling time fraction is derived. The heuristic is proposed to solve the formulated optimization problem with the derived optimal scheduling time fractions. The exhaustive simulation results for coverage and throughput of the RIS assisted DC system are presented with varying user, BS, blockage, and RIS densities for different fairness values. Further, we show that the proposed RIS assisted DC system provides significant throughput gain of 52% and 48% in certain scenarios when compared to the existing benchmark and DC systems.</p>


2021 ◽  
Author(s):  
Yoghitha Ramamoorthi ◽  
Masashi Iwabuchi ◽  
Tomoki Murakami ◽  
Tomoaki Ogawa ◽  
Yasushi Takatori

<p>The next generation 6G wireless systems are envisioned to have higher reliability and capacity than the existing cellular systems. The reconfigurable intelligent surfaces (RISs) is one of the promising solution to control the wireless channel by altering the electromagnetic properties of the signal. The dual connectivity (DC) increases the per-user throughput by utilizing radio resources from two different base stations. In this work, we propose the RIS assisted DC system to improve the per-user throughput of the users by utilizing resources from two base stations (BSs) in proximity via different RISs. Given an fairness based utility function, the joint resource allocation and the user scheduling of RIS assisted DC system is formulated as an optimization problem and the optimal user scheduling time fraction is derived. The heuristic is proposed to solve the formulated optimization problem with the derived optimal scheduling time fractions. The exhaustive simulation results for coverage and throughput of the RIS assisted DC system are presented with varying user, BS, blockage, and RIS densities for different fairness values. Further, we show that the proposed RIS assisted DC system provides significant throughput gain of 52% and 48% in certain scenarios when compared to the existing benchmark and DC systems.</p>


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 22480-22488 ◽  
Author(s):  
Weidang Lu ◽  
Tian Nan ◽  
Yi Gong ◽  
Mei Qin ◽  
Xin Liu ◽  
...  

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