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Cooperative and Cognitive Communication in Wireless Networks
KTH, School of Electrical Engineering (EES), Communication Networks.
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In the last decade, significant efforts and progress have been made by both the industry and academia to meet the rapidly growing demand for wireless applications and services. To achieve more flexible, dynamic and intelligent use of the limited wireless spectrum, cooperative transmission and cognitive networking are proposed as two of the key technologies for the next generation wireless communication systems, such as Long-Term Evolution Advanced. Cooperative transmission techniques, such as cooperative relaying and Multiple-Input and Multiple-Output (MIMO) can increase spectrum efficiency by utilizing the diversity of wireless channels, while cognitive transmitters tune their transmission parameters according to the environment to optimize network level performance. In this thesis, we provide performance modeling and analysis of different cooperative and cognitive communication techniques to exploit their potential.

In the first part of the thesis, we investigate the performance of hop-by-hop cooperative communication on a multihop transmission path applying spatial reuse time division multiplexing, where interference from simultaneous transmissions exists. Based on the models, we compare the performance of hop-by-hop cooperation with the performance of traditional simple multihopping schemes, and give the regimes where hop-by-hop cooperation achieves significant gain. Considering random networks, we propose cooperative geographic routing, the integration of hop-by-hop cooperation with traditional geographic routing, and evaluate the effects of the topology knowledge range and the network density.

In the second part of the thesis, we discuss how cooperative transmission techniques can be utilized in cognitive and hierarchical spectrum sharing networks, where the primary users have transmission guarantees, and the coexisting secondary users need to be cognitive and adjust their transmissions in the shared spectrum bands to conform constraints from the primary users. We consider large-scale coexisting primary and secondary networks, where concurrent primary and secondary transmissions are allowed, and the secondary users provide cooperative relaying for the primary ones and control the interference at the primary receivers by tuning the probability of transmitting and by forming a primary exclusive region around each primary receiver within which all secondary users have to be silent. We define a unified analytic framework to model the performance of cooperative spectrum sharing and cognitive transmission control, characterize their achievable gains, and show that both of the networks have strong incentives to participate in the collaboration.

Finally, we investigate spectrum sharing networks where both primary and secondary users have stochastic packet arrival. Under the constraint that the performance of primary users does not degrade, we find the dilemma for the secondary users. That is, if a secondary user chooses to cooperate, it can transmit immediately even if the primary queue is not empty, but has additional costs for relaying primary packets, such as increased power consumption. We propose a dynamic cooperation scheme for the secondary user so that it can make sequential decision on whether to cooperate or not in each time slot based on the state of the network. We show that optimal sequential decision is necessary to efficiently trade off the cooperation cost and the packet delay of the secondary user.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. , vii, 54 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2013:18
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-122277ISBN: 978-91-7501-731-0 (print)OAI: oai:DiVA.org:kth-122277DiVA: diva2:621714
Public defence
2013-06-05, Q2, Osquldas väg 10, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20130517

Available from: 2013-05-17 Created: 2013-05-16 Last updated: 2014-02-11Bibliographically approved
List of papers
1. Using cooperative transmission in wireless multihop networks
Open this publication in new window or tab >>Using cooperative transmission in wireless multihop networks
2009 (English)In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2009, Vol. PIMRCConference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the efficiency of cooperative transmission when it is applied in wireless multihop networks. We consider regular linear networks and derive the achievable rate-delay tradeoff when selective relaying through a single relay node is used in each hop. We show that relaying achieves significant gain particularly in the high throughput - high delay regime.

Keyword
Achievable rate, Cooperative transmission, High throughput, Relay node, Wireless multi-hop network, Radio communication, Wireless local area networks (WLAN), Linear networks
National Category
Computer and Information Science
Identifiers
urn:nbn:se:kth:diva-30323 (URN)10.1109/PIMRC.2009.5449776 (DOI)000305824602185 ()2-s2.0-77952842771 (Scopus ID)9781424451234 (ISBN)
Conference
2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
Note

QC 20110224

Available from: 2011-02-24 Created: 2011-02-23 Last updated: 2013-05-17Bibliographically approved
2. Cooperative Communication for Spatial Frequency Reuse Multihop Wireless Networks under Slow Rayleigh Fading
Open this publication in new window or tab >>Cooperative Communication for Spatial Frequency Reuse Multihop Wireless Networks under Slow Rayleigh Fading
2011 (English)In: 2011 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), New York: IEEE , 2011Conference paper, Published paper (Refereed)
Abstract [en]

Cooperative communication has been proposed as a means to increase the capacity of a wireless link by mitigating the path-loss, fading and shadowing effects of radio propagation. In this paper, we evaluate the efficiency of cooperative communication in large scale wireless networks under interference from simultaneous transmissions. Specifically, we consider tunable spatial reuse time division multiplexing and half-duplex decode-and-forward cooperative relaying on a hop-by-hop basis. We show that hop-by-hop cooperation improves the reliability of the transmissions particularly in the low-SINR or in the low-coding-rate regimes. Moreover, hop-by-hop cooperative relaying gains 15 - 20% more throughput compared to simple multihopping in the interference-limited regime, if the relay location and the reuse distance are jointly optimized.

Place, publisher, year, edition, pages
New York: IEEE, 2011
Series
IEEE International Conference on Communications, ISSN 1550-3607
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-55285 (URN)10.1109/icc.2011.5962699 (DOI)000296057101120 ()2-s2.0-80052161350 (Scopus ID)978-1-61284-233-2 (ISBN)
Conference
IEEE International Conference on Communications (ICC) JUN 05-09, 2011 Kyoto, JAPAN
Projects
SRA TNG Network Layer Models
Funder
ICT - The Next Generation
Note
QC 20120102Available from: 2012-01-02 Created: 2012-01-02 Last updated: 2013-05-17Bibliographically approved
3. Cooperative geographic routing in wireless mesh networks
Open this publication in new window or tab >>Cooperative geographic routing in wireless mesh networks
2010 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We propose cooperative geographic routing (cGeo-routing) for wireless mesh networks by combining cooperative transmission with traditional geographic routing. We model and evaluate two cGeo-routing schemes including Cooperative-Random Progress Forwarding (C-RPF) and Cooperative-Nearest with Forward Progress (C-NFP). We show that cGeo-routing significantly increases the average transport capacity for a single hop in well connected mesh networks, and the gain increases with the transmitted signal-to noise ratio (SNR). Moreover, there exists an optimal topology knowledge range in C-RPF, whereas an optimal node density in C-NFP. Our results also suggest that hop-by-hop cooperation can increase transport capacity in high-connectivity and high-SNR regimes, however, it does not change the transport capacity scaling law of the mesh network.

National Category
Communication Systems
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-53570 (URN)10.1109/MASS.2010.5663887 (DOI)2-s2.0-78650972414 (Scopus ID)
Conference
IEEE International Workshop on Enabling Technologies and Standards for Wireless Mesh Networking (MeshTech). November 8, 2010. San Francisco, CA, USA
Projects
SRA TNG Network Layer Models
Note

QC 20120109

Available from: 2011-12-28 Created: 2011-12-28 Last updated: 2013-05-17Bibliographically approved
4. On the Gain of Primary Exclusion Region and Vertical Cooperation in Spectrum Sharing Wireless Networks
Open this publication in new window or tab >>On the Gain of Primary Exclusion Region and Vertical Cooperation in Spectrum Sharing Wireless Networks
2012 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 61, no 8, 3746-3758 p.Article in journal (Refereed) Published
Abstract [en]

The emerging cognitive radio (CR) technology enables the introduction of hierarchical spectrum sharing in wireless networks, where the primary users (PUs) have transmission guarantees, but the coexisting secondary users (SUs) need to be cognitive toward primary activities and adjust their transmissions to conform to the primary constraints. We consider large-scale coexisting primary and secondary networks, where concurrent primary and secondary transmissions are allowed and where the SUs control the interference at the primary receivers by tuning the probability of transmitting and by forming a primary exclusive region (PER) around each primary receiver within which all SUs have to be silent. Moreover, the primary source-destination pairs utilize vertical cooperation by selecting a nearby SU to act as a cooperative relay. We define a unified analytic framework to model cognition and cooperative transmission in large-scale networks. We characterize the achievable gains considering the transmission density region and show that both of the networks have strong incentives to participate in the collaboration.

Keyword
Cognitive radio (CR), cooperative transmission, density region, outage probability, primary exclusion region (PER)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-106150 (URN)10.1109/TVT.2012.2207139 (DOI)000310144200034 ()2-s2.0-84867836492 (Scopus ID)
Funder
Swedish Research Council, 2009-4573ICT - The Next Generation
Note

QC 20121129

Available from: 2012-11-29 Created: 2012-11-29 Last updated: 2017-12-07Bibliographically approved
5. Dynamic Cooperative Secondary Access in Hierarchical Spectrum Sharing Networks
Open this publication in new window or tab >>Dynamic Cooperative Secondary Access in Hierarchical Spectrum Sharing Networks
2014 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 13, no 11, 6068-6080 p.Article in journal (Refereed) Published
Abstract [en]

We address the challenge of energy efficiency in hierarchical spectrum sharing networks with dynamic traffic. We consider a primary and a cognitive secondary transmitter-receiver pair, where the secondary transmitter can utilize cooperative transmission to relay primary traffic while superimposing its own information. The secondary user meets a dilemma in this scenario. By choosing cooperation, it can transmit a packet immediately, but it has to bear the additional cost of relaying. Otherwise, it can wait for the primary user to become idle, which increases the queuing delay that secondary packets experience. To solve this dilemma and trade off delay and energy consumption, we propose dynamic cooperative secondary access control that takes the state of the spectrum sharing network into account. We formulate the problem as a Markov decision process and prove the existence of a stationary policy that is average cost optimal. We evaluate reinforcement learning to find optimal transmission strategy when the traffic and link statistics are not known. We demonstrate that dynamic cooperation is necessary for the secondary system to be able to adapt to changing network conditions and show that optimal sequential decision can significantly improve the tradeoff of the energy consumption and the delay.

Keyword
Hierarchical spectrum sharing, cooperative transmission, queuing systems, Markov decision process, reinforcement learning
National Category
Telecommunications
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-122274 (URN)10.1109/TWC.2014.2333744 (DOI)000345087700014 ()2-s2.0-84910116264 (Scopus ID)
Funder
Swedish Research Council
Note

QC 20150115. Updated from manuscript to article in journal.

Available from: 2013-05-16 Created: 2013-05-16 Last updated: 2017-12-06Bibliographically approved

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