The effect of cooperation at the network protocol level

There has been a great deal of attention on cooperative communication which exploits the spatial diversity among antennas belonging to multiple terminals. Most of the existing work focuses on the physical layer and shows how message relaying can improve the Shannon capacity region, outage probability, diversity order, etc. But it is possible to use relays in simple, innovative ways that depend on the protocol properties at the medium access control (MAC) and network layers. In this paper we build upon prior work on such relay use by considering sets of nodes in simple topology configurations in which reaching a common destination is accomplished through direct links as well as relayed transmissions. Each non-destination node generates its own traffic for the destination but the nodes that are closer to the destination have the capability and option to relay packets from nodes farther afield. Channel quality is modeled by a reception probability which injects the physical layer property into upper layer design and analysis. We consider bursty arrival processes and we characterize the stable throughput region and delay performance at each node. We show that a proposed cooperation strategy can lead to improved performance for both work-conserving and Time Division Multiple Access (TDMA) MAC protocols. The innovative elements in this work are the balance between own and relayed traffic at each node and the fact that the performance improvement is in part due to the concentration of the queues of failed packets into fewer virtual queues.

[1]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[2]  Anthony Ephremides,et al.  On the stability of interacting queues in a multiple-access system , 1988, IEEE Trans. Inf. Theory.

[3]  K. J. Ray Liu,et al.  Cognitive multiple access via cooperation: Protocol design and performance analysis , 2007, IEEE Transactions on Information Theory.

[4]  Anthony Ephremides,et al.  On the construction of energy-efficient broadcast and multicast trees in wireless networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[5]  Moshe Sidi,et al.  Two Interfering Queues in Packet-Radio Networks , 1983, IEEE Trans. Commun..

[6]  Aria Nosratinia,et al.  Coded cooperation in wireless communications: space-time transmission and iterative decoding , 2004, IEEE Transactions on Signal Processing.

[7]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[8]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[9]  W. Szpankowski Stability conditions for some distributed systems: buffered random access systems , 1994, Advances in Applied Probability.

[10]  Elza Erkip,et al.  User cooperation diversity. Part II. Implementation aspects and performance analysis , 2003, IEEE Trans. Commun..

[11]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[12]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..