Interfering MIMO links with stream control and optimal antenna selection

Gaur, Sudhanshu; Jiang, Jeng-Shiann; Ingram, M.A.; Demirkol, M.F.

doi:10.1109/glocom.2004.1378930

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…It was also shown that an asymptotically high SINR margin is required at the receivers to obtain the multiplexing gain if multiple antennas are used for transmission. Such high SINR margin can be achieved in coordinated networks in which either a single spatiallyisolated transmission is guaranteed or by jointly transmitting and decoding multiple transmissions which requires network-wide synchronization and induces significant overhead that outweighs the multi-antenna gain as was experimentally shown in [12].…”

Section: Simo Communications Backgroundmentioning

confidence: 93%

“…However, protocols employing these mechanisms, such as [4,6,24,29], require network-wide synchronization and channel information of all interfering transmitters at each receiver (and/or senders) in order to null out their signals. While such synchronous MAC protocols address fairness by allowing multiple simultaneous transmissions, the overhead due to network synchronization and channel acquisition significantly degrades the system throughput as was empirically shown in [12]. The only related work that addressed MIMO multiple transmissions in asynchronous networks is [20].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

The case for SIMO random access in multi-antenna multi-hop wireless networks

Khattab

2011

Wireless Netw

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In this paper, we demonstrate that multiple concurrent asynchronous and uncoordinated Single-Input Multiple-Output (SIMO) transmissions can successfully take place even though the respective receivers do not explicitly null out interfering signals. Hence, we propose simple modifications to the widely deployed IEEE 802.11 Medium Access Control (MAC) to enable multiple non-spatially-isolated SIMO sender-receiver pairs to share the medium. Namely, we propose to increase the physical carrier sense threshold, disable virtual carrier sensing, and enable message-in-message packet detection. We use experiments to show that while increasing the peak transmission rate, spatial multiplexing schemes such as those employed by the IEEE 802.11n are highly non-robust to asynchronous and uncoordinated interferers. In contrast, we show that the proposed multi-flow SIMO MAC scheme alleviates the severe unfairness resulting from uncoordinated transmissions in 802.11 multi-hop networks. We analytically compute the optimal carrier sense threshold based on different network performance objectives for a given node density and number of receive antennas.

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Section: Simo Communications Backgroundmentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%

The case for SIMO random access in multi-antenna multi-hop wireless networks

Khattab

2011

Wireless Netw

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“…[18], and stream control for mutually interfering MIMO links with antenna selection has been proposed in Ref. [19]. However, system-wide interference control to maximize system throughput may be difficult to implement.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of spatially multiplexed MIMO systems with subset antenna transmission in interference limited environments

Sigdel

Krzymien

2007

Wireless Pers Commun

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Transmit antenna selection in spatially multiplexed multiple-input multiple-output (MIMO) systems is a low complexity low-rate feedback technique, which involves transmission of a reduced number of streams from the maximum possible to improve the error rate performance of linear receivers. It has been shown to be effective in enhancing the performance of single-user interference-free point-to-point MIMO systems. However, performance of transmit antenna selection techniques in interference-limited environments and over frequency selective channels is less well understood. In this paper, we investigate the performance of transmit antenna selection in spatially multiplexed MIMO systems in the presence of cochannel interference. We propose a transmission technique for the downlink of a cellular MIMO system that employs transmit antenna selection to minimize the effect of co-channel interference from surrounding cells. Several transmit antenna selection algorithms are proposed and their performance is evaluated in both frequency flat and frequency selective channels. Various antenna selection algorithms proposed in the literature for single user MIMO links are extended to a cellular scenario, where each user experiences co-channel interference from the other cells (intercell interference) in the system. For frequency selective channels, we consider orthogonal frequency division multiplexing (OFDM) with MIMO. We propose a selection algorithm that maximizes the average output SINR over all subcarriers. A method to quantify selection gain in frequency selective channel is discussed. The effect of delay spread on the selection gain is studied by simulating practical fading environments with different delay spreads. The effect of the variable signal constellation sizes and the number of transmitted streams on the bit error rate (BER) performance of the proposed system is also investigated in conjunction with the transmit antenna selection. Simulation results show that for low to moderate interference power, significant improvement in the system performance is achievable with the use of transmit antenna selection algorithms. Even though the gain due to selection in frequency selective channels is reduced compared to that in flat fading channels due to the inherent frequency diversity, the performance improvement is significant when the system is interference limited. The performance improvement due to reduced number of transmit streams at larger signal constellation sizes is found to be more significant in spatially correlated scenarios, and the gain due to selection is found to be reduced with the increased delay spread. It is found that employing transmit antenna selection algorithms in 624 S. Sigdel et al. conjunction with adaptation of the number of transmitted streams and the signal constellation sizes can significantly improve the performance of MIMO systems with co-channel interference.

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“…Basically there are three approaches. The first one is the spatial reuse with stream control (SC) [6], [10], [11], [12], [13], as discussed in Section 2.3. The best DOFs are selected for data transmissions, while the other DOFs at the receiver are used to suppress interfering data streams.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], [16], the authors demonstrate that stream control improves the overall throughput compared to the TDMA-based spatial multiplexing. In [12], [13], the authors point out that stream control with the optimal antenna selection is an attractive alternative to spatial multiplexing. Moreover, stream control is effective in a wide range of wireless environments, while spatial multiplexing exhibits its benefits only under rich scattering or strong multi-path conditions associated with urban and indoor applications.…”

Section: Introductionmentioning

confidence: 99%

Link Scheduling for Exploiting Spatial Reuse in Multihop MIMO Networks

Guo

Yang

et al. 2013

IEEE Trans. Parallel Distrib. Syst.

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Abstract-MIMO has great potential for enhancing the throughput of multi-hop wireless networks via spatial multiplexing or spatial reuse. Spatial reuse with stream control (SC) provides a considerable improvement of the network throughput over spatial multiplexing. The gain of spatial reuse, however, is still not fully exploited. There exist large numbers of additional data streams, which could be transmitted concurrently with those data streams scheduled by stream control at certain time slots and vicinities. In this paper, we address the issue of MIMO link scheduling to maximize the gain of spatial reuse and thus network throughput. We propose a receiveroriented interference suppression model (ROIS), based on which we design both centralized and distributed link scheduling algorithms to fully exploit the gain of spatial reuse in multi-hop MIMO networks. Further, we address the traffic-aware link scheduling problem by injecting non-uniform traffic load into the network. Through theoretical analysis and comprehensive performance evaluation, we achieve the following results: (1) Link scheduling based on ROIS achieves significant higher network throughput than that based on stream control, with any interference range, number of antennas, and average hop length of data flows. (2) The traffic-aware scheduling is enticingly complementary to the link scheduling based on ROIS model. Accordingly, the two scheduling schemes can be combined to further enhance the network throughput.

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Interfering MIMO links with stream control and optimal antenna selection

Cited by 12 publications

References 12 publications

The case for SIMO random access in multi-antenna multi-hop wireless networks

The case for SIMO random access in multi-antenna multi-hop wireless networks

Performance evaluation of spatially multiplexed MIMO systems with subset antenna transmission in interference limited environments

Link Scheduling for Exploiting Spatial Reuse in Multihop MIMO Networks

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