Capacity-based MIMO mode switching scheme between STBC and DSTBC for relay-assisted cellular networks

Shen, Xia; Zhang, Rongqing; Cheng, Xiang; Liu, Zhimin; Jiao, Bingli

doi:10.1109/icc.2013.6655425

Cited by 1 publication

(2 citation statements)

References 11 publications

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“…According to equation (3), the power is the u function in the STC, the optimal power corresponding to the alignment angle in the relay l can be calculated with equation (21). From equation ( 21), we can see that for u ½l r, s and u ½l r, s in the relay l, if u ½l r, s = p and u ½l r, s = p 2 , then the optimal power corresponding to the alignment angle in the relay l achieves the minimum in (22). By combining equations ( 15) and ( 22), the MIMO maximum capacity in the relay antenna l can be calculated as…”

Section: Replicator Dynamics Of Transmitter Antenna Arraymentioning

confidence: 99%

“…Compared with this article, we consider capacity increase, power budget constraints, and investigate the cooperative mechanism of relays for MIMO communications between multiple transmitting and receiving antennas. In Shen et al, 22 the authors only investigated a relay-assisted switching scheme of MIMO system based on the joint consideration of the received signal-to-noise ratio (SNR) at the user equipment (UE) and 3D distances. However, they do not investigate the power and angle allocation among the transmitter, relay, and receiver antennas, which is an effective technique to maximize the capacity and mitigate interference in the MIMO communication.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications

Liu¹,

Yu²,

Li³

et al. 2017

International Journal of Distributed Sensor Networks

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Cooperative-relaying networks have great potential for deployment in next-generation wireless communication networks. However, a cooperative-relaying network using two-dimensional multiple-input-multiple-output technology can further enhance the network performance. In this article, we propose a game theoretical framework for mobile twodimensional multiple-input-multiple-output communication networks to achieve optimal relay selection and cooperative control. A source node, relay, and destination node can make service-selection decisions dynamically in a two-level network, based on the mobile-channel satisfaction parameters (e.g. spatial-temporal correlation and relay survivability). To model this dynamic interactive decision problem, we propose a hierarchical dynamic game framework. At the outer level, we formulate an evolutionary game to model and analyze the process of adaptive selection of relays for maximizing the multiple-input-multiple-output capacity by relay selection and power allocation. At the inner level, by aligning relays, we formulate an evolutionary game to model a self-organizing network structure for relays, to increase the capacity. A closed-loop evolutionary game equilibrium is considered to solve the dynamic game. Numerical results show that the proposed algorithm can effectively improve the quality of service for mobile two-dimensional multiple-input-multipleoutput communication networks.

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Section: Replicator Dynamics Of Transmitter Antenna Arraymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%