Results 11 - 20
of
93
CoMP meets energy harvesting: a new communication and energy cooperation paradigm,” submitted to
- IEEE Global Communications Conference (Globecom), 2013, available at http://arXiv/abs/1303.2870
"... ar ..."
(Show Context)
Backhaul-constrained multi-cell cooperation using compressive sensing and spectral clustering
- in Proc. Signal Processing Advances in Wireless Communications (SPAWC
, 2012
"... Multi-cell cooperative processing with limited backhaul traf-fic is considered for cellular uplinks. To parsimoniously select a set of cooperating base stations, a sparse multi-cell receive-filter is obtained through convex optimization using compres-sive sensing techniques. Clustered cooperation is ..."
Abstract
-
Cited by 9 (0 self)
- Add to MetaCart
(Show Context)
Multi-cell cooperative processing with limited backhaul traf-fic is considered for cellular uplinks. To parsimoniously select a set of cooperating base stations, a sparse multi-cell receive-filter is obtained through convex optimization using compres-sive sensing techniques. Clustered cooperation is also con-sidered, where sparsity is promoted on inter-cluster feedback. A joint equalizer design and dynamic partitioning problem is formulated and solved using an iterative spectral cluster-ing approach. Numerical tests verify the efficacy of proposed methods. 1.
Cooperative Wireless Multicell OFDMA Network with Backhaul Capacity Constraints
"... Abstract — This paper considers the downlink of a wireless multicell orthogonal frequency division multiple-access (OFDMA) system where neighboring base-stations (BSs) can jointly encode and transmit data signals to their users using zero-forcing (ZF) precoding in each frequency tone, but only limit ..."
Abstract
-
Cited by 9 (5 self)
- Add to MetaCart
Abstract — This paper considers the downlink of a wireless multicell orthogonal frequency division multiple-access (OFDMA) system where neighboring base-stations (BSs) can jointly encode and transmit data signals to their users using zero-forcing (ZF) precoding in each frequency tone, but only limited backhaul capacity is available for each BS to share its users ’ data streams with the neighboring BSs. A numerical algorithm is proposed to maximize the network-wide utility of this system subject to backhaul-capacity constraints. The proposed algorithm first selects a subset of frequency tones for each BS to share its users ’ data streams with the neighboring BSs and then, jointly schedules users and adapts the precoding coefficients and the power spectra of the BSs to effectively utilize the limited backhaul capacity. Numerical results show that using the proposed algorithm, the gain in downlink sum-rate per cell can be made to scale linearly with the available backhaul capacity per BS between the no-cooperation and the full-cooperation scenarios. I.
NEMOx: Scalable Network MIMO for Wireless Networks
- In Proc. ACM Int. Conf. Mobile Computing and Networking (MobiCom
, 2013
"... Network MIMO (netMIMO) has potential for significantly enhanc-ing the capacity of wireless networks with tight coordination of ac-cess points (APs) to serve multiple users concurrently. Existing schemes realize netMIMO by integrating distributed APs into one “giant ” MIMO but do not scale well owing ..."
Abstract
-
Cited by 6 (2 self)
- Add to MetaCart
(Show Context)
Network MIMO (netMIMO) has potential for significantly enhanc-ing the capacity of wireless networks with tight coordination of ac-cess points (APs) to serve multiple users concurrently. Existing schemes realize netMIMO by integrating distributed APs into one “giant ” MIMO but do not scale well owing to their global synchro-nization requirement and overhead in sharing data between APs. To remedy this limitation, we propose a novel system, NEMOx, that realizes netMIMO downlink transmission for large-scale wireless networks. NEMOx organizes a network into practical-size clusters, each containing multiple distributed APs (dAPs) that opportunis-tically synchronize with each other for netMIMO downlink trans-mission. Inter-cluster interference is managed with a decentralized channel-access algorithm, which is designed to balance between the dAPs ’ cooperation gain and spatial reuse—a unique tradeoff in netMIMO. Within each cluster, NEMOx optimizes the power bud-geting among dAPs and the set of users to serve, ensuring fairness and effective cancellation of cross-talk interference. We have im-plemented and evaluated a prototype of NEMOx in a software radio testbed, demonstrating its throughput scalability and multiple folds of performance gain over current wireless LAN architecture and alternative netMIMO schemes.
A decentralized framework for dynamic downlink base station cooperation
- in Proc. IEEE Globecom’09
"... Abstract — Multiple Base Station (Multi-BS) cooperation has been considered as a promising mechanism to suppress co-channel interference and boost the capacity for cellular networks. However, the large feedback and signaling overhead hinder it from practice. Therefore, limited cooperation among BSs ..."
Abstract
-
Cited by 6 (3 self)
- Add to MetaCart
(Show Context)
Abstract — Multiple Base Station (Multi-BS) cooperation has been considered as a promising mechanism to suppress co-channel interference and boost the capacity for cellular networks. However, the large feedback and signaling overhead hinder it from practice. Therefore, limited cooperation among BSs is recognized as a good tradeoff between the performance gain and the relevant cost. In this paper, the whole network is divided into small disjointing BS cooperation groups, namely, clusters. A decentralized framework is proposed to facilitate the BS cluster formation on the downlink, in order to maximize the sum-rate of the scheduled mobile stations (MSs) under the cluster size constraint. Moreover, an efficient BS negotiation algorithm is designed for cluster formation, of which the feedback overhead per MS is irrelevant to the network size, and the number of iteration rounds scales very slowly with the network size. Simulations show that our strategy leads to significant sum-rate gain over static clustering and performs almost the same as the centralized greedy approach. With its low signaling overhead and complexity, the proposed framework is well suited for implementation in large-scale cellular networks. 1 I.
Information exchange limits in cooperative MIMO networks
- IEEE Trans. Signal Process
, 2011
"... ar ..."
(Show Context)
Optimal stochastic coordinated beamforming with compressive CSI acquisition for Cloud-RAN (longer version with detailed proofs),” arXiv preprint arXiv:1312.0363
, 2013
"... ar ..."
(Show Context)
Queue-Aware Dynamic Clustering and Power Allocation for Network MIMO Systems via Distributive Stochastic Learning, full version. [Online]. Available: http://arxiv.org/abs/1006.3919
"... ar ..."
(Show Context)
Decomposition by successive convex approximation: A unifying approach for linear transceiver design in heterogeneous networks
, 2014
"... ..."
(Show Context)
Coordinate beamforming with relaxed zero forcing: The sequential orthogonal projection combining method and rate control
- Mar. 2012 [Online]. Available: http:// arxiv.org/abs/1203.1758,, ArXiv Pre-Print cs.IT/1203.1758
"... Abstract—In this paper, a new beam design paradigm for coordinated beamforming (CB) for current and future cellular networks is proposed based on a relaxed zero-forcing (RZF) constraint. In the conventional zero-forcing (ZF) CB, each co-operating transmitter designs its transmit beamforming matrix t ..."
Abstract
-
Cited by 4 (4 self)
- Add to MetaCart
Abstract—In this paper, a new beam design paradigm for coordinated beamforming (CB) for current and future cellular networks is proposed based on a relaxed zero-forcing (RZF) constraint. In the conventional zero-forcing (ZF) CB, each co-operating transmitter designs its transmit beamforming matrix to null out interference to undesired receivers completely. In the proposed RZF paradigm, however, the ZF constraint is relaxed so that a tolerable amount of interference leakage to undesired receivers is allowed for the beam design at each transmitter. By relaxing the ZF constraint in such a way, transmitters have more degrees of freedom for their beam design to increase the overall data rate of the network. An efficient algorithm for the RZFCB is proposed based on a projected subgradient method. Numerical results show that the proposed RZFCB shows a noticeable gain over the conventional ZFCB. Index Terms—Coordinated beamforming, MIMO system, Zero-forcing, Interference channel, Projected subgradient method.
