Both intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are advocated as the promising technologies to support high spectrum/energy efficiency for future wireless communications. In this pa...
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ISBN:
(数字)9798350303582
ISBN:
(纸本)9798350303599
Both intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are advocated as the promising technologies to support high spectrum/energy efficiency for future wireless communications. In this paper, we investigate the effect of cooperative-IRS on transmission power consumption for downlink NOMA communication system with multiple channels. To this end, we formulate a power minimization problem for double-IRS aided downlink NOMA system with multiple channels, taking into account the constraint of each user's minimum signal-to-interference-plus-noise-ratio (SINR). In order to solve the non-convex optimization problem brought by double-IRS, we first establish the relation between the transmit power and the phase shifts, and then develop an alternative optimization algorithm to determine the optimal phase shift. Simulation results show that the performance of deploying double-IRS is significantly better than that of deploying a centralized-IRS when there are sufficient number of reflecting elements. Besides, compared with various benchmarking schemes, the proposed joint optimization algorithm can significantly reduce the transmit power consumption.
Multi-RAT access network, or heterogeneous access network, is considered to be the key enabling technology to satisfy the 5G requirements, such as high data rate, ultra-low latency and reliability. To make efficient u...
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ISBN:
(纸本)9781728141985
Multi-RAT access network, or heterogeneous access network, is considered to be the key enabling technology to satisfy the 5G requirements, such as high data rate, ultra-low latency and reliability. To make efficient use of all the available network resources, various research activities on multi-connectivity have been proposed to simultaneously connect, steer, and orchestrate across multiple different radio access technologies. Standardization of the management and orchestration of multi-connectivity environment, however, has just been initiated, thus further research and development is required. This paper proposes a novel management and orchestration architecture for integrated access of satellite and terrestrial in 5G. It especially focuses on the traffic steering and load-balancing of heterogeneous multi-RAT access environment.
Multi-RAT access network, or heterogeneous access network, is considered to be the key enabling technology to satisfy the 5G requirements, such as high data rate, ultra-low latency and reliability. To make efficient u...
详细信息
ISBN:
(数字)9781728141992
ISBN:
(纸本)9781728142005
Multi-RAT access network, or heterogeneous access network, is considered to be the key enabling technology to satisfy the 5G requirements, such as high data rate, ultra-low latency and reliability. To make efficient use of all the available network resources, various research activities on multi-connectivity have been proposed to simultaneously connect, steer, and orchestrate across multiple different radio access technologies. Standardization of the management and orchestration of multi-connectivity environment, however, has just been initiated, thus further research and development is required. This paper proposes a novel management and orchestration architecture for integrated access of satellite and terrestrial in 5G. It especially focuses on the traffic steering and load-balancing of heterogeneous multi-RAT access environment.
This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a dist...
ISBN:
(数字)9781728151786
ISBN:
(纸本)9781728151793
This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a distributed control architecture that sees the various access points compete for the allocation of the connection requests. Numerical simulations validate conceptually the approach, developed in the scope of the EU-Korea project 5G-ALLSTAR.
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