Increasing uplink capacity via user cooperation diversity

Sendonaris, A.; Erkip, Elza; Aazhang, Behnaam

doi:10.1109/isit.1998.708750

Cited by 464 publications

(236 citation statements)

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“…Here, this is the case if the two channels (s, d) and (r, d) fade independently in both phases. Based on the work on the relay channel, Sendonaris et al proposed user cooperation diversity [23], where cooperation allows users 1 to share their resources, antennas, and time slots, during the transmission. A typical scenario is illustrated in Figure 2.…”

Section: Cooperation Diversitymentioning

confidence: 99%

Cooperative Wireless Networking Beyond Store-and-Forward

Valentin

Lichte

Karl

et al. 2007

Wireless Pers Commun

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Abstract. In future wireless networks devices may cooperate to form logical links. Each of these links may consist of several independent physical channels which are shared by the cooperating partners. Even without multiple antennas this cooperation provides diversity in time and space. This so-called cooperation diversity increases the robustness of the link vs. fading and interference. After surveying approaches in cooperation diversity we focus on optimizing its performance by combining several cooperation schemes and by integrating cooperation into space-time coding. For multiple scenarios, we further discuss the factors and benefits introduced by user cooperation and how cooperation-aware resource allocation can be employed to further increase the performance of cooperative networks. When it comes to implementation, the question arises how cooperation can be integrated efficiently into existing wireless networks. A case study for 802.11-based WLANs reveals the issues that need to be solved in order to deploy cooperative techniques. We provide an overview of the state of the art in implementing cooperation approaches, analyze how appropriate these approaches solve the issues, and, where appropriate, point out their deficiencies. We conclude with a road map for future research necessary to tackle these deficiencies for the practical implementation of cooperation in next generation mesh, WLAN, WMAN, and cellular standards.

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Section: Cooperation Diversitymentioning

confidence: 99%

Cooperative Wireless Networking Beyond Store-and-Forward

Valentin

Lichte

Karl

et al. 2007

Wireless Pers Commun

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“…User cooperation in wireless networks was first investigated by Sendonaris et al [3,4] for cellular networks and by Laneman et al [5,6] for ad hoc networks, whereas the information theoretical capacity of relay channels was investigated earlier [7,8]. A new two-step cooperative strategy, called distributed space-time coding, has been proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

On the performance of multi‐hop wireless relay networks

Jaafar

Ajib²,

Haccoun

2011

Wireless Communications

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User cooperation has evolved as a popular coding technique in wireless relay networks (WRNs). Using the neighboring nodes as relays to establish a communication between a source and a destination achieves an increase of the diversity order. The relay nodes can be seen as a distributed multi-antenna system, which can be exploited for transmit diversity by using distributed space-time block coding (STBC). In this paper, we investigate the bit error rate (BER) of multi-hop WRNs employing distributed STBC at the relay nodes. We develop the general model of WRNs using distributed STBC, and we derive the pairwise error probability and an approximation of the BER. We examine the impact of several parameters, such as distributed STBC at the relays, the number of relays, the distances between the nodes, and the channel state information available at the receivers, on the BER performance of the multi-hop WRN. The obtained results provide guidelines about the expected error performance and the design of channel estimation for these networks.

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“…The average total transmit power by the i th source can be expressed as E[ [2]]. By definition of the cooperation ratio α i , we can state that E[P i [2]] < ∞ if α i is finite and E[P j [1]] < ∞ for j = i. Hence, given the assumption that the cooperation ratios are finite, each source's total average required transmit power is finite if E[P 1 [1]] < ∞ and E[P 2 [1]] < ∞.…”

Section: B Fading Channelsmentioning

confidence: 99%

“…Sendonaris, Erkip, and Aazhang were the first to propose the concept of user cooperation diversity where nearby users in a cellular system form cooperative "partnerships" by sharing their antennas to achieve increased rate or decreased outage probability in the uplink [1]. Since this seminal work, there has been a growing interest in developing cooperative transmission protocols and understanding the performance limits of user cooperation diversity, c.f.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to its demonstrated potential for increased rate or decreased outage probability, the user cooperation diversity can also potentially reduce the transmit power required by nodes to meet QoS targets and, consequently, extend the battery life of cooperating nodes [1]. This may be particularly important in energy-constrained scenarios such as sensor networks.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Resource allocation for cooperative transmission in wireless networks with orthogonal users

Brown

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.

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Abstract-This paper investigates the problem of efficient power allocation in a wireless communication system with two cooperating sources and one destination. The sources in the system each transmit information to a single destination at a fixed SNR target and cooperate via an orthogonal amplify-andforward protocol with two timeslots. We develop a framework for power allocation in this scenario around the concept of "cooperation ratios" and derive expressions for the transmit power required by each source to achieve their SNR targets as a function of these cooperation ratios. Numerical examples are presented for time-invariant channels as well as Rayleigh fading channels. Our results show that cooperation does not reduce required transmit powers when both sources have symmetric time-invariant channels to the destination. When sources have asymmetric time-invariant channels to the destination, total power is minimized when only the source with the stronger channel cooperates. In the case of Rayleigh fading channels, we demonstrate that mutual cooperation can minimize the average total required transmit power and can also lead to a reduction in average required transmit power for both sources.

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Increasing uplink capacity via user cooperation diversity

Cited by 464 publications

References 1 publication

Cooperative Wireless Networking Beyond Store-and-Forward

Cooperative Wireless Networking Beyond Store-and-Forward

On the performance of multi‐hop wireless relay networks

Resource allocation for cooperative transmission in wireless networks with orthogonal users

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