Analysis of client relay network with opportunistic cooperation
WWIC'11 Proceedings of the 9th IFIP TC 6 international conference on Wired/wireless internet communications
Capacity theorems for the relay channel
IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
Cooperative communication in wireless networks
IEEE Communications Magazine
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Grouping and partner selection in cooperative wireless networks
IEEE Journal on Selected Areas in Communications
Spectrally-efficient relay selection with limited feedback
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
Cooperative communication is a promising concept to mitigate the effect of fading in a wireless channel and is expected to improve performance of next-generation cellular networks in terms of client throughput and energy efficiency. With recent proliferation of smart phones and machine-to-machine communication, so-called 'client relay' cooperative techniques are becoming more important. As such, a mobile client with poor channel quality may take advantage of other neighboring clients, who would relay data on its behalf. In the extreme, the aggregate set of available client relays may form a relay cloud, and members of the cloud may opportunistically cooperate with the data originator to improve its uplink channel quality. The key idea behind the relay cloud is to provide flexible and distributed control over cooperative communication by the wireless clients themselves. By contrast to centralized control, this will minimize extra protocol signaling involved and ensure simpler implementation. In this work, we build an originator-centric model and study the performance of a relay cloud with respect to the main performance metrics: throughput, packet delay, and energy efficiency. We obtain closed-form analytical expressions for the sought metrics and verify our results via extensive simulations.