Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/210830
 Title: Capacity of Social-Aware Wireless Networks With Directional Antennas Authors: Zhida Qin;Xiaoying Gan;Jingchao Wang;Luoyi Fu;Xinbing Wang Year: 2017 Publisher: IEEE Abstract: The widespread of smart phones has brought new social-aware features to wireless networks. Users prefer to forward traffic to their social contacts in social-aware networks, which is highly different from the traditional uniform traffic pattern. To this end, we analyze a social-aware wireless network, which is modeled by the social contacts between nodes, and explore its impact on network throughput capacity. We present that it can refine social contacts, thus improving the network capacity. Moreover, directional antennas are applied to further enhance the capacity performance, which can reduce the interference brought by other simultaneous communications. We derive the throughput capacity for social-aware networks with single-beam and multi-beam directional antenna, respectively. For single-beam directional antenna, we prove that when wireless networks are dominated by traffics of short-distance social contact, the throughput capacity can be promoted from order of (\Theta ({1}/{\theta ^{2}}n\,\text {log}\,n)^{1/2}) to \Theta ({1}/{\theta ^{2} \text {log}\,n}) . In addition, when the beamwidth \theta is at order of \Omega ({1}/{({\log {n}})^{1/2}}) , the throughput capacity is a constant. Thus, the wireless network is scalable. For multi-beam antennas, we prove that when sidelobe gain G_{s} is at order of o(G_{m}) , where G_{m} is main lobe gain, compared with the single-beam case, the network capacity can achieve the order of \Theta ({1}/{\theta ^{2}\text {log}\,n}) . URI: http://localhost/handle/Hannan/210830 volume: 65 issue: 11 More Information: 4831,4844 Appears in Collections: 2017

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 Title: Capacity of Social-Aware Wireless Networks With Directional Antennas Authors: Zhida Qin;Xiaoying Gan;Jingchao Wang;Luoyi Fu;Xinbing Wang Year: 2017 Publisher: IEEE Abstract: The widespread of smart phones has brought new social-aware features to wireless networks. Users prefer to forward traffic to their social contacts in social-aware networks, which is highly different from the traditional uniform traffic pattern. To this end, we analyze a social-aware wireless network, which is modeled by the social contacts between nodes, and explore its impact on network throughput capacity. We present that it can refine social contacts, thus improving the network capacity. Moreover, directional antennas are applied to further enhance the capacity performance, which can reduce the interference brought by other simultaneous communications. We derive the throughput capacity for social-aware networks with single-beam and multi-beam directional antenna, respectively. For single-beam directional antenna, we prove that when wireless networks are dominated by traffics of short-distance social contact, the throughput capacity can be promoted from order of (\Theta ({1}/{\theta ^{2}}n\,\text {log}\,n)^{1/2}) to \Theta ({1}/{\theta ^{2} \text {log}\,n}) . In addition, when the beamwidth \theta is at order of \Omega ({1}/{({\log {n}})^{1/2}}) , the throughput capacity is a constant. Thus, the wireless network is scalable. For multi-beam antennas, we prove that when sidelobe gain G_{s} is at order of o(G_{m}) , where G_{m} is main lobe gain, compared with the single-beam case, the network capacity can achieve the order of \Theta ({1}/{\theta ^{2}\text {log}\,n}) . URI: http://localhost/handle/Hannan/210830 volume: 65 issue: 11 More Information: 4831,4844 Appears in Collections: 2017

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 Title: Capacity of Social-Aware Wireless Networks With Directional Antennas Authors: Zhida Qin;Xiaoying Gan;Jingchao Wang;Luoyi Fu;Xinbing Wang Year: 2017 Publisher: IEEE Abstract: The widespread of smart phones has brought new social-aware features to wireless networks. Users prefer to forward traffic to their social contacts in social-aware networks, which is highly different from the traditional uniform traffic pattern. To this end, we analyze a social-aware wireless network, which is modeled by the social contacts between nodes, and explore its impact on network throughput capacity. We present that it can refine social contacts, thus improving the network capacity. Moreover, directional antennas are applied to further enhance the capacity performance, which can reduce the interference brought by other simultaneous communications. We derive the throughput capacity for social-aware networks with single-beam and multi-beam directional antenna, respectively. For single-beam directional antenna, we prove that when wireless networks are dominated by traffics of short-distance social contact, the throughput capacity can be promoted from order of (\Theta ({1}/{\theta ^{2}}n\,\text {log}\,n)^{1/2}) to \Theta ({1}/{\theta ^{2} \text {log}\,n}) . In addition, when the beamwidth \theta is at order of \Omega ({1}/{({\log {n}})^{1/2}}) , the throughput capacity is a constant. Thus, the wireless network is scalable. For multi-beam antennas, we prove that when sidelobe gain G_{s} is at order of o(G_{m}) , where G_{m} is main lobe gain, compared with the single-beam case, the network capacity can achieve the order of \Theta ({1}/{\theta ^{2}\text {log}\,n}) . URI: http://localhost/handle/Hannan/210830 volume: 65 issue: 11 More Information: 4831,4844 Appears in Collections: 2017

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